DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE
The Journal is a publication specializing in the field of digital economy and information technologies. Raqamli transformatsiya va sun’iy intellekt ilmiy jurnali
BETARTIB KOMPYUTER TARMOQLARI BARQARORLIGINI EVRISTIK JARIMALARGA KO'RA BAHOLOVCHI “HEALTH SCORE” MATEMATIK MODELI
Yirik va murakkab korporativ tarmoq infratuzilmalarida (Enterprise Networks) "Yashirin tarmoq" (Shadow IT), mantiqiy tarmoq halqalari (Loopback), portlarning beqaror o‘chib-yonishi (Flapping) va ruxsatsiz simsiz qurilmalarning ulanishi butun tizim barqarorligiga jiddiy tahdid soladi. An’anaviy tarmoq monitoringi tizimlari (PRTG, Zabbix, SolarWinds) asosan statik ko‘rsatkichlarga, ya’ni trafik hajmiga (Bandwidth), protsessor yuklamasiga (CPU Usage) va moslamaning uzilish vaqtiga (Latency/Timeout) qaratilgan bo‘lib, tarmoq ichida yashirin rivojlanayotgan mikro-topologik anomaliyalarni vaqtida aniqlay olmaydi. Ushbu maqolada betartib va ko‘p-vendorli lokal tarmoqlarning umumiy sog‘lig‘i hamda barqarorligini baholash uchun yangi - Evristik jarimalarga asoslangan "Health Score" (H(S)) matematik modeli taklif etiladi. Ushbu dinamik matematik va mantiqiy model, qurilmalar markazidan olingan MAC/OUI xesh-jadvallari, STP inqirozlari va FDB ma’lumotlarini Graflar nazariyasi (Graph Theory) yordamida tahlil qilish orqali anomaliyalarni jarima balli (Penalty) sifatida hisoblaydi. Natijada shakllangan H(S) ko‘rsatkichi tizim operatorlari va avtomatik qaror qabul qilish dvigatellari (Active Decision Engine) uchun dasturilamal xizmat qiladi.
Copyright (c) 2026 Nishanov Axram Xasanovich, Qalandarov Jamil Jalolovich, Omonov Zokirjon Hojiboy o’g‘li, Akmalov Elyor Ilhomovich https://creativecommons.org/licenses/by/4.0
O‘ZGARUVCHAN MUHITDA SHAXS YUZINI TANIB OLISH TIZIMINING DASTURIY-TEXNIK TA’MINOTI
Maqolada manzil-koloniyalarda mahkumlarni masofaviy nazorat qilish tizimining dasturiy-texnik ta’minotini taqdim etilgan. Taqsimlangan hisoblash muhitida ishlaydigan uch darajali arxitektura (edge-fog-cloud) ishlab chiqilgan. Ma’lumotlar bazasi modeli, dasturiy modullar tuzilishi, foydalanuvchi rollari va huquqlar tizimi batafsil tavsiflangan. Tizim xavfsizligi, autentifikatsiya mexanizmlari va tashqi tizimlar bilan integratsiya masalalari ko‘rib chiqilgan. Taklif etilgan arxitektura cheklangan tarmoq ulanishi sharoitida ishonchli ishlash, ma’lumotlar yaxlitligini ta’minlash va kengaytiriluvchanlikni ta’minlaydi.
Copyright (c) 2026 Nishanov Akram Hasanovich, Babadjanov Elmurod Satimbayevich, Narziyev Narzullo Baxshilloyevich https://creativecommons.org/licenses/by/4.0
“VIS-CHEGARA” YAGONA AXBOROT TIZIMI ORQALI VETERINARIYA NAZORATINI RAQAMLASHTIRISH SAMARADORLIGI
Mazkur maqolada O‘zbekiston Respublikasida veterinariya nazorati sohasida ma’muriy jarayonlarni raqamlashtirishning dolzarb masalalari hamda “VIS-Chegara” yagona avtomatlashtirilgan axborot tizimini joriy etish orqali erishilgan amaliy natijalar tahlil qilingan. Tadqiqot doirasida chegara veterinariya nazoratida ruxsatnoma va sertifikatlarni rasmiylashtirish jarayonlarini elektron boshqarish, tashqi iqtisodiy faoliyat ishtirokchilari uchun yaratilgan qulayliklar, inson omilini kamaytirish, shaffoflikni oshirish hamda nazorat samaradorligini kuchaytirish masalalari yoritilgan. Tahlil natijalari “VIS-Chegara” tizimi veterinariya nazoratini tashkil etishda samarali raqamli instrument sifatida xizmat qilayotganini ko‘rsatadi.
Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0
KATTA HAJMDAGI TARMOQ TRAFIKLARINI INTELLEKTUAL TAHLIL QILISH UCHUN GIBRID DEEP LEARNING MODELINI ISHLAB CHIQISH
Katta hajmdagi tarmoq trafiklari (enterprise, bulut, IoT, SDN) real vaqt rejimida tez qayta ishlanishi, turli hujum turlarini aniq ajratishi va klasslar nomutanosibligi (imbalanced data) sharoitida barqaror ishlashi zarur [14]. CICIDS2017 va UNSW-NB15 kabi ommaviy benchmark ma’lumotlar to‘plamlari asosida baholash metodikasi beriladi, nomutanosiblikni kamaytirish uchun SMOTE/Borderline - SMOTE, focal loss, class weights va threshold tuning kabi yechimlar taklif qilinadi [6]. Natijada yuqori aniqlik bilan bir qatorda, real vaqt ishlashi uchun hisoblash samaradorligi (latency/throughput) ham mezon sifatida qo‘yiladi.
Copyright (c) 2025 Jurayev O‘tkirbek Murodullo o‘g‘li https://creativecommons.org/licenses/by/4.0
AUTOMATED SYSTEM FOR RECOGNITION OF CORN SEEDS INFECTED WITH FUSARIO BLOOD
This paper proposes a scheme of an automated system for recognizing maize seeds infected with Fusarium and separating them from healthy ones. According to preliminary studies, it has been established that infected maize seeds can be recognized with an accuracy of up to 98% through the analysis of their color visual images as well as color and texture features. The proposed scheme is intended for the processing and analysis of visual images. It is assumed that this solution can be applied in practice under industrial conditions, which implies the creation of conditions for the simultaneous processing of a large number of seeds.
Copyright (c) 2025 Shukhrat Mannapovich Gulyamov, Ulugbek Turgudovich Mukhamedkhanov, Malika Yuldashovna Doshanova, Bekhruz Iskandar ogli Suvonov https://creativecommons.org/licenses/by/4.0
C++ DASTURLASH TILIDA POLIMORFIZM VA VIRTUAL FUNKSIYALAR ASOSIDA DINAMIK BOG‘LANISH MEXANIZMLARINING NAZARIY TAHLILI
Mazkur maqolada C++ dasturlash tilida obyektga yo‘naltirilgan dasturlash (OOP) paradigmasining muhim tarkibiy qismlari bo‘lgan polimorfizm va virtual funksiyalar asosida dinamik bog‘lanish mexanizmlarining nazariy hamda amaliy jihatlari chuqur tahlil etilgan. Obyektga yo‘naltirilgan yondashuvning asosiy tamoyillari — inkapsulyatsiya, meros olish va polimorfizm — kontekstida dinamik bog‘lanish tushunchasining o‘rni va ahamiyati ochib berilgan. Maqolada statik (kompilyatsiya vaqtida) va dinamik (bajarilish vaqtida) bog‘lanish mexanizmlarining o‘zaro farqlari nazariy asosda solishtirilgan hamda ularning dastur samaradorligi va moslashuvchanligiga ta’siri yoritilgan. Xususan, virtual funksiyalar orqali amalga oshiriladigan dinamik bog‘lanish mexanizmining ishlash prinsipi, ya’ni virtual jadval (vtable) arxitekturasi, uning xotirada tashkil etilishi va funksiyalar chaqiruvining kechikkan aniqlanish jarayoni bosqichma-bosqich tahlil qilingan. Shuningdek, meros olish (inheritance) jarayonida bazaviy va hosila sinflar o‘rtasidagi bog‘liqlik, funksiyalarni qayta aniqlash (override qilish) mexanizmi hamda ko‘p shakllilik (runtime polymorphism)ning dasturiy modellashtirishdagi roli ilmiy asosda ko‘rib chiqilgan. Dinamik bog‘lanishning abstrakt sinflar va interfeyslar bilan ishlashdagi ahamiyati, katta hajmdagi dasturiy tizimlarda kodni kengaytirish va qo‘llab-quvvatlashni soddalashtirishdagi o‘rni asoslab berilgan. Tadqiqot davomida nazariy qarashlar amaliy misollar bilan mustahkamlanib, murakkab dasturiy tizimlarni loyihalashda dinamik bog‘lanish mexanizmlaridan samarali foydalanish bo‘yicha metodik tavsiyalar ishlab chiqilgan. Olingan natijalar modulli arxitekturaga ega bo‘lgan dasturiy mahsulotlarni yaratishda, dastur kodining qayta ishlatiluvchanligini oshirishda hamda tizimning kengayuvchanligini ta’minlashda muhim nazariy va amaliy asos bo‘lib xizmat qiladi.
Copyright (c) 2026 Ishkobilov Farrux Xayrilloyevich https://creativecommons.org/licenses/by/4.0
CREATIVE TOURISM IN UZBEKISTAN’S HERITAGE CITIES: LEVERAGING URBAN INFORMATICS FOR SUSTAINABLE AND RESILIENT DESTINATION PLANNING
The rapid adoption of smart tourism destination models in heritage cities worldwide raises critical questions about the compatibility of technology-driven destination management with the preservation of cultural authenticity. This opinion article examines the applicability of dominant smart destination frameworks—developed in well-resourced institutional contexts such as Seoul, Singapore, Barcelona, and Kyoto—to the Silk Road heritage cities of Uzbekistan (Samarkand, Bukhara, and Khiva), which are currently undergoing ambitious digitalization initiatives amid unprecedented tourism growth. Drawing on a critical-interpretive synthesis of smart tourism destination theory, creative tourism studies, and postcolonial development critique, the article identifies a fundamental tension: technology-first approaches implicitly presuppose institutional prerequisites, digital infrastructure, and stakeholder coordination mechanisms that remain underdeveloped in Central Asian contexts. The analysis reveals that prevailing models risk homogenizing the distinctive cultural attributes that constitute these destinations’ global appeal, while systematically positioning heritage communities as subjects of governance rather than agents of development. In response, the article proposes “heritage-first informatics”—a paradigm that subordinates technological implementation to community-defined cultural priorities—and presents a multi-stakeholder benefit distribution framework demonstrating that community agency and destination competitiveness are mutually reinforcing rather than contradictory. The heritage-first approach repositions heritage communities as principal agents whose cultural values, transmission priorities, and permissible interaction parameters precede and regulate technological deployment, simultaneously generating distributed benefits for destination management organizations, travelers, and government entities. The article concludes that targeted, community-managed technology implementation aligned with established institutional capacity offers a more sustainable pathway than comprehensive digitalization strategies that exceed local readiness, with implications extending beyond Uzbekistan to heritage cities globally navigating the tension between modernization and cultural continuity.
Copyright (c) 2026 Khalimova Nigina Jafarbekovna https://creativecommons.org/licenses/by/4.0
HUDUDLARDA TURIZM BIZNESINI INNOVATSION RIVOJLANISHDA HERITAGE INTERPRETATION MODELINI TAKOMILLASHTIRISH
Ushbu tadqiqot hududlarda turizm biznesini innovatsion rivojlantirishda Heritage Interpretation (madaniy meros talqini) modelini takomillashtirish masalalarini qamrab oladi. Tadqiqotda Freeman Tilden tomonidan asoslangan interpretatsiya tamoyillari zamonaviy turizm menejment strategiyalari[16] bilan uyg‘unlashtirilgan holda tahlil qilinadi. Maqolada madaniy meros ob‘ektlarini turistik mahsulotga aylantirishning tashkiliy va metodologik mexanizmlari, shuningdek, mahalliy identitetni turizm tajribasiga integratsiya qilish yo‘llari o‘rganiladi. Tadqiqot davomida xalqaro amaliyot — Janubiy Koreya, Yangi Zelandiya va Iordaniya tajribalari tahlil qilinib, O‘zbekiston sharoitiga moslashtirilgan innovatsion model taklif etiladi. Natijada mehmondo‘stlik korxonalari madaniy merosni saqlab qolish va iqtisodiy samara ko‘rsatkichlarini oshirishda institutional rol o‘ynashi asoslanadi.
Copyright (c) 2026 O‘roqova Dilfuza Bahriddinovna https://creativecommons.org/licenses/by/4.0
MAKTABGACHA TA’LIM JARAYONIDA MULTIMEDIA TEXNOLOGIYALARINI JORIY ETISH: MUAMMOLAR, IMKONIYATLAR VA YECHIMLAR
Maqolada maktabgacha ta’lim tashkilotlarida multimedia texnologiyalarini foydalanishda uchrayotgan asosiy muammolar, ularning sabablari, hamda ushbu muammolarni bartaraf etishga qaratilgan samarali yechimlar bayon qilingan bo‘lib, bu ta’lim-tarbiya jarayonida multimedia texnologiyasidan mazmunli foydalanish va ta’lim-tarbiya samaradorligini oshirish imkoniyatini beradi.
Copyright (c) 2026 Begmatova Nodira Xakimovna https://creativecommons.org/licenses/by/4.0
AGGLUTINATIV TILLAR UCHUN KAM RESURSLI SHAROITDA MATN KLASSIFIKATSIYASINING GIBRID LINGVISTIK-STATISTIK MODELI
Mazkur maqolada sun’iy intellekt (AI) va tabiiy tilni qayta ishlash (NLP) sohalari doirasida o‘zbek tilidagi matnlarni avtomatik tasniflash (klassifikatsiya qilish) masalasi kompleks tarzda o‘rganilgan. Matnlarni avtomatik kategoriyalash zamonaviy axborot tizimlarida, xususan tavsiya tizimlari, raqamli kutubxonalar, ijtimoiy tarmoqlar monitoringi hamda axborot qidiruv platformalarida muhim ahamiyat kasb etadi. Tadqiqotda tasniflash jarayonining samaradorligi tanlangan vektorlash usuli va klassifikatsiya algoritmiga bevosita bog‘liqligi ko‘rsatib berildi. O‘zbek tilining agglutinativ tabiati, ya’ni ko‘plab qo‘shimchalar orqali so‘z shakllarining kengayishi xususiyatlar makonining siyraklashishiga va modelni o‘qitishda qo‘shimcha murakkabliklarning yuzaga kelishiga sabab bo‘lishi ilmiy asosda tahlil qilindi. Ishda matnni dastlabki qayta ishlash, jumladan tokenizatsiya, lemmatizatsiya va stop-so‘zlarni olib tashlash bosqichlarining tasniflash aniqligiga ta’siri baholandi. Eksperimental qismda Bag-of-Words, TF-IDF, Word2Vec hamda Transformer asosidagi modellar o‘zaro taqqoslandi va nomutanosib sinflar muammosini kamaytirish uchun SMOTE muvozanatlashtirish usuli qo‘llanildi.
Copyright (c) 2026 Karaxanova Shirin Azizjon qizi https://creativecommons.org/licenses/by/4.0
SIMMETRIK QIDIRISH IMKONIYATLI SHIFRLASH ALGORITMLARI
Ushbu maqolada shifrlangan ma’lumotlar ustida qidiruvni amalga oshiruvchi simmetrik qidirish imkoniyatli shifrlash algoritmlarining nazariy asoslari va zamonaviy yondashuvlari tahlil qilinadi. Maqolada qidirish imkoniyatli simmetrik shifrlash sxemalarining rivojlanish bosqichlari, asosiy xavfsizlik modellari hamda statik va dinamik yondashuvlari qiyosiy jihatdan o‘rganiladi. Shifrlash sxemasi ma’lumotlar o‘zgarishi, oldingi xabarlarning maxfiyligi va keyingi xabarlarning maxfiyligi, foydalanuvchi modeli, qidiruv kalit so‘zlari soni hamda moslashuvchanlik darajasi mezonlari asosida tasniflandi. Statik qidirish imkoniyatli simmetrik shifrlash sxemalari va dinamik qidirish imkoniyatli simmetrik shifrlash sxemalari misolida xavfsizlik va samaradorlik o‘rtasidagi muvozanat tahlil qilinadi [2]. Tadqiqot natijalari statik yondashuvlar nazariy jihatdan samarali bo‘lsada, real, doimiy yangilanib boruvchi axborot tizimlari uchun dinamik qidirish imkoniyatli shifrlash sxemalari maqsadga muvofiq ekanini ko‘rsatadi. Shuningdek, ushbu texnologiyalarning shaxsiy ma’lumotlarni himoyalashga oid milliy qonunchilik va xalqaro standartlarga mosligi asoslab berildi.
qidirish imkoniyatli simmetrik shifrlash
statik va dinamik qidirish imkoniyatli simmetrik shifrlash
Copyright (c) 2026 Xudoynazarov Umidjon Umarjon o‘g‘li https://creativecommons.org/licenses/by/4.0
SOLVING WHEAT SELECTION PROBLEMS USING THE DBSCAN ALGORITHM
This article discusses the solution to the problem of identifying complex hidden relationships between varieties by clustering using the DBSCAN algorithm, dividing the features of soft wheat varieties into groups (reflecting the growth and development of the wheat plant, components of fertility and fertility, reflecting the quality of the grain). Based on the values of the features related to different varieties of wheat, in one file created on the basis of experimental files, by dividing them into clusters and sets of noise objects using the DBSCAN algorithm, the problems of identifying wheat varieties that are close to each other in features and varieties that change their features due to abiotic factors, as well as sorting wheat varieties with low grain quality and low fertilities were solved. The efficiency of clustering by dividing the features of objects into groups is shown using the example of wheat selection. ε-neighboured is determined, reflecting the degree of closeness of objects and the number of objects included in 3 groups of features related to wheat varieties. Clusters and noise objects are found based on the detected values. Based on this, it was possible to draw important conclusions about the wheat varieties that retained (did not retain) their bunch and were identified as noise objects in all 3 groups.
Copyright (c) 2026 Shodiyev Fayzulla Yusupovich https://creativecommons.org/licenses/by/4.0
OLIY TA’LIMDA PROFESSOR-O’QITUVCHILAR FAOLIYATI SAMARADORLIGINI BAHOLASHDA KPI TIZIMINI INTEGRATSIYA QILISH ALGORITMLARI VA ULARNING OPTIMIZATSIYASI
Ushbu maqolada oliy ta’lim muassasalarida boshqaruv samaradorligini oshirish maqsadida KPI (Key Performance Indicators) ko‘rsatkichlarini integratsiya qilishga yo‘naltirilgan algoritmlar ishlab chiqildi. KPI tizimini mavjud axborot platformalari bilan uyg‘unlashtirish, real vaqt rejimida monitoring qilish, natijalarni baholash va avtomatik qaror qabul qilish jarayonlarining formal modeli taklif etiladi. Tadqiqotda KPI yig‘ish, tozalash, tahlil qilish va optimallashtirish bosqichlariga mo‘ljallangan modulli algoritmlar taqdim etiladi.
Copyright (c) 2026 Tishlikov Sultonjon Abduraimovich, Adilov Abduraim Namozovich, Amirov Javohir Alisher o‘g‘li https://creativecommons.org/licenses/by/4.0
XALQARO TAJRIBADA EKOLOGIK AXBOROT TIZIMLARINI RIVOJLANTIRISH TENDENSIYALARI
Mazkur maqolada xalqaro tajribada ekologik axborot tizimlarini rivojlantirish tendensiyalari, ularning texnologik, iqtisodiy va institutsional jihatlari kompleks tahlil qilinadi. Tadqiqot natijalari shuni ko‘rsatadiki, global miqyosda ekologik monitoring va axborot tizimlariga yo‘naltirilayotgan investitsiyalar hajmi ortib bormoqda hamda bu jarayon masofaviy zondlash, sun’iy intellekt, IoT va katta ma’lumotlar texnologiyalarining jadal joriy etilishi bilan bog‘liq. Xalqaro platformalar misolida hayvonot dunyosini aniqlash, populyatsiya va migratsiya jarayonlarini monitoring qilish samaradorligi sezilarli darajada oshgani asoslab berilgan. Shuningdek, ekologik axborot tizimlarining iqtisodiy samaradorligi, xavflarni erta aniqlash, resurslardan foydalanishni optimallashtirish va boshqaruv qarorlarini ma’lumotlarga asoslangan holda qabul qilishdagi roli yoritilgan.
Copyright (c) 2025 Homidov Hamdam Hasanovich https://creativecommons.org/licenses/by/4.0
EKOLOGIK QO‘RIQXONALARDA MONITORING JARAYONLARINING IQTISODIY VA TASHKILIY AHAMIYATI
Ekologik qo‘riqxonalarda monitoring jarayonlarining iqtisodiy va tashkiliy ahamiyati raqamli transformatsiya sharoitida kompleks tahlil qilinadi. Tadqiqotda zamonaviy raqamli texnologiyalar, IoT platformalari, masofaviy kuzatuv vositalari va sun’iy intellekt asosidagi tahlil usullarining monitoring samaradorligini oshirishdagi o‘rni yoritilgan. Raqamli monitoring tizimlari ekologik ma’lumotlarni real vaqt rejimida yig‘ish, qayta ishlash va integratsiyalash orqali boshqaruv qarorlarini ilmiy asosda qabul qilish imkonini yaratishi asoslab berilgan. Shuningdek, monitoring jarayonlarini raqamlashtirish operatsion xarajatlarni kamaytirish, inson omiliga bog‘liq xatoliklarni qisqartirish hamda resurslardan foydalanish samaradorligini oshirishga xizmat qilishi ko‘rsatib o‘tilgan. O‘zbekiston sharoitida ekologik qo‘riqxonalarda monitoring tizimlarini takomillashtirishning ustuvor yo‘nalishlari ham bayon etilgan.
MULTIMEDIA TRAFIGINI UZATISHDA MA’LUMOT UZATISH TEXNOLOGIYALARINI TAHLILI
Maqolada paketlarni kommutatsiya qilish orqali ma’lumot uzatish tarmoq modellari va texnologiyalarning rivojlanishi tahlil qilingan. Paketlarni virtual va deytagramma rejimi orqali kommutatsiya qilish prinsiplari va mexanizmlarining xususiyatlari ko‘rsatilgan. Ma’lumot uzatishning dastlabki texnologiyalari qisqacha tavsiflangan va ularning texnik xususiyatlari tahlil qilingan. Multimedia trafigini uzatish uchun tarmoq texnologiyalarining imkoniyatlari ko‘rib chiqilgan.
Copyright (c) 2026 Djurayev Rustam Xusanovich, Umirzakov Bahodir Mamadiyorovich https://creativecommons.org/licenses/by/4.0
“O‘ZBEKISTON POCHTASI” AJDA LOGISTIKA VA XIZMAT KO‘RSATISH SIFATINI YAXSHILASHNING ASOSIY YO‘NALISHLARI
Maqolada “O‘zbekiston pochtasi” AJ faoliyatida logistika jarayonlari va xizmat ko‘rsatish sifatini yaxshilashning asosiy yo‘nalishlari tahlil qilingan. Tadqiqot davomida pochta logistika tizimining mavjud holati, transport infratuzilmasi, “oxirgi mil” yetkazib berish jarayoni, xizmat ko‘rsatish standartlari hamda xodimlar faoliyatining xizmat sifati va umumiy samaradorlikka ta’siri yoritib berilgan. Shuningdek, logistika markazlarini hududiy optimallashtirish, transport yo‘nalishlarini raqamli modellashtirish, avtomatlashtirish va raqamli monitoring tizimlarini joriy etish orqali pochta xizmatlarining tezkorligi, shaffofligi va mijozlar qoniqish darajasini oshirish imkoniyatlari asoslab berilgan.
transport yo‘nalishlarini optimallashtirish
Xudoyberdiyev Rahmatillo Fozilliddinovich
Copyright (c) 2026 Jo‘rayev Lazizjon Norovich, Xudoyberdiyev Rahmatillo Fozilliddinovich https://creativecommons.org/licenses/by/4.0
KIBERXAVFSIZLIKDA ISOLATION FOREST YORDAMIDA ANOMALIYALARNI ANIQLASH
Maqolada kiberxavfsizlik sohasida anomaliyalarni aniqlashning dolzarb muammolari va ularni hal qilishda sun’iy intellekt texnologiyalarining roli ko‘rib chiqiladi. Zamonaviy kiberhujumlarning murakkablashuvi va an’anaviy himoya usullarining cheklanganligi sababli, mashinaviy o‘rganishga asoslangan yondashuvlar, xususan, Isolation forest modellari muhim ahamiyat kasb etmoqda. Jahon miqyosida kiberhujumlar natijasida yetkazilgan zarar 2024 yilda 9,5 trillion AQSH dollariga yetgan bo‘lib, 2025 yilda 10,5 trillion dollardan oshishi kutilmoqda. O‘zbekistonda esa 2023–2024 yillarda kiberjinoyatlar soni keskin oshib, yetkazilgan zarar milliardlab so‘mni tashkil etgan. Maqolada Isolation forestning nazariy asoslari, arxitekturasi, rivojlanish tarixi, afzalliklari va kamchiliklari batafsil tahlil qilinadi. Ushbu modelning suqilib kirishlarni aniqlash tizimlari (IDS), zararli dasturlarni aniqlash, ichki tahdidlar va IoT xavfsizligidagi amaliy qo‘llanilishi misollar bilan ko‘rsatiladi. Kelajakda transformer va gibrid modellarning integratsiyasi orqali samaradorlikni oshirish imkoniyatlari muhokama qilinadi.
Copyright (c) 2026 G‘ulomov Sherzod Rajaboyevich, Normirzayev Farrux Abdurahimovich https://creativecommons.org/licenses/by/4.0
ALGORITHM AND COMPUTATIONAL EXPERIMENT OF GERT NETWORK MODELING FOR DESCRIBING THE TRANSPORT AND TECHNOLOGICAL CYCLE OF UAVS IN THE APPLICATION OF PESTICIDES AND FERTILIZERS
The paper considers an algorithm and a computational experiment of GERT network modeling of the transport and technological cycle of unmanned aerial vehicles (UAVs) for variable-rate application of pesticides and fertilizers in a precision agriculture system. The proposed approach uses a GERT network to formalize the full cycle “sensing – analysis – decision-making – plot treatment – visualization” involving two types of UAVs: one for soil condition monitoring and one for application of working solutions. A software implementation is developed that interacts with simulated sensors, satellite and ground components of the agrotechnological system and provides simulation of step-by-step UAV movements, changes in field plot states, and the formation of control actions. Based on the computational experiment, the distribution of operational time costs is analyzed for several types of spraying UAVs and their daily performance in terms of treated area; it is shown that autonomous GERT-based route planning makes it possible to reduce the total time required to complete flight tasks by approximately 2-3 times compared to manual control, which corresponds to a saving of about 50–70% of operational time. The results obtained confirm the effectiveness of GERT network models for the synthesis and verification of adaptive control systems for fleets of agricultural UAVs and for optimizing the use of pesticides and fertilizers under precision agriculture conditions.
variable-rate application of pesticides and fertilizers
Copyright (c) 2026 D.I. Kovalev https://creativecommons.org/licenses/by/4.0
TURLI XILDAGI MA’LUMOTLARNI TAHLIL QILISH USULLARINING ZAMONAVIY HOLATI
Ushbu maqolada turli xildagi ma’lumotlarni tahlil qilish masalalarida tarqoq ma’lumotlarni tizimlashtirish, eng muhim ma’lumotlarni tanlash, ularni ma’lum bir tartibda joylashtirish to‘g‘risidagi tushunchalar keltirilgan. Tahlil jarayonida ma’lum bir qonuniyatlar aniqlanadi, xulosalar chiqariladi vas shu asnosida bashoratlar qilinadi. Axborotni o‘rganish katta hajmdagi ma’lumotlarni (Big data) tadqiq qilish, vaqt bo‘yicha uzoq bo‘lgan hodisalar natijalarini taqqoslash imkonini beruvchi turli zamonaviy texnologiyalardan foydalangan holda amalga oshiriladi. Hozirgi kunda katta hajmdagi ma’lumotlarni tahlil qilish usullarining zamonaviy holati haqida to‘xtalib o‘tilgan.
Copyright (c) 2026 Nishanov Axram Xasanovich, Tursunov Alisher Tulkunovich, Narzullayev Davronbek Zikrullayevich, Rahmonov Erkin Davlatovich https://creativecommons.org/licenses/by/4.0
SUN’IY INTELLEKTGA ASOSLANGAN ZARARLI DASTURLARNI ANIQLASH VA TAHLIL QILISH
Zararli dasturlar (malware) — kiberhujumchilarning eng xavfli qurollaridan biri bo‘lib, ular tobora murakkablashib, tezkor tarqalish va o‘z-o‘zini ko‘paytirish xususiyatiga ega bo‘lib bormoqda. Bundan tashqari, zamonaviy zararli dasturlar kiberjinoyatchilikning eng vayronkor shakllaridan biri hisoblanadi, chunki ular aniqlanishdan qochishi, real vaqtga yaqin raqamli kriminalistika tekshiruvlarini deyarli imkonsiz qilishi mumkin. Murakkab yashirinish strategiyalarining ta’siri esa juda jiddiy va keng ko‘lamli bo‘lishi mumkin. Shu sababli, zararli dasturlarni o‘z vaqtida va avtonom tarzda aniqlash ularni samarali tahlil qilish uchun muhim ahamiyatga ega. Ushbu ishda zamonaviy zararli dasturlarni aniqlash uchun yangi tizimli yondashuv taklif etiladi. Ushbu yondashuv dinamik, chuqur o‘rganishga asoslangan usullarni evristik yondashuvlar bilan birlashtiradi va quyidagi beshta zamonaviy zararli dastur oilasini aniqlash hamda tasniflashga qaratilgan: reklama dasturlari (adware), radware, rootkit, SMS zararli dasturlari, ransomware. Sun’iy intellekt va kiberxavfsizlik analitikasi doirasidagi tadqiqotimiz zararli dasturlarni aniqlash, tahlil qilish va oldini olish imkoniyatlarini yaxshilab, kiberxavflarga chidamli tizimlarni yaratishga xizmat qiladi. Taklif etilgan yondashuv so‘nggi zararli dasturlarni o‘z ichiga olgan maxsus ma’lumotlar to‘plami yordamida tekshirildi. Natijalar modelning samaradorlik va tezkorlik bo‘yicha real hayot talablariga mos kelishini ko‘rsatdi. Tajriba natijalari shuni ko‘rsatadiki, xatti-harakatga asoslangan chuqur o‘rganish va evristik usullarni birlashtirish statik chuqur o‘rganish usullariga qaraganda yuqori natija beradi.
zararli dasturlarni aniqlash va oldini olish
Copyright (c) 2026 Elshod Haydarov https://creativecommons.org/licenses/by/4.0
DEVELOPMENT OF AN INTERACTIVE AI-BASED TOOL FOR AUTOMATIC PRONUNCIATION ASSESSMENT IN FOREIGN LANGUAGE LEARNING
This paper presents the development of an AI-based interactive web platform designed for automatic pronunciation assessment and improvement in foreign language learning. The system analyzes learner speech using speech recognition and deep learning models, detects pronunciation errors, and provides adaptive feedback in Uzbek. The proposed framework integrates pronunciation accuracy, user engagement, adaptive learning mechanisms, and real-time feedback into a unified evaluation model. Experimental results demonstrate that regular use of the platform significantly improves pronunciation accuracy, intelligibility, and learner confidence. The findings confirm the effectiveness of AI-driven adaptive learning systems in enhancing foreign language pronunciation training.
Rohmonqulov Muhammadyusuf Egamberdi o‘g‘li
Copyright (c) 2026 Abdumalikov Akmaljon Abduxoliq o‘g‘li, Rohmonqulov Muhammadyusuf Egamberdi o‘g‘li https://creativecommons.org/licenses/by/4.0
KLASTERLASH ASOSIDA IJTIMOIY TARMOQ YOZISHMALARINING XAVF DARAJASINI TAHLIL QILISH YONDASHUVI (K=4)
Ushbu maqolada ijtimoiy tarmoqlarda, xususan Telegram platformasida tarqalgan matnli yozishmalarni xavf darajasiga ko‘ra avtomatik guruhlash masalasi ko‘rib chiqiladi. Tadqiqotning asosiy maqsadi K-means klasterlash algoritmining k = 4 parametri asosida ishlash samaradorligini baholash hamda turli hajmdagi datasetlarda klasterlash sifati va barqarorligini aniqlashdan iborat. Tadqiqot jarayonida 1000, 5000, 10000 va 20000 ta yozishmadan iborat to‘rtta turli hajmdagi ma’lumotlar to‘plami shakllantirildi va ular asosida klasterlar sifati, semantik chegaralar hamda ichki uyg‘unlik darajasi tahlil qilindi. Olingan natijalar kichik hajmdagi datasetlarda klasterlash natijalari yetarli darajada barqaror bo‘lmasligini, o‘rtacha hajmdagi ma’lumotlar bazasida esa klasterlar shakllanish jarayonida ekanini ko‘rsatdi. 10000 ta yozishmadan iborat datasetda k = 4 parametri bilan eng toza, aniq va barqaror semantik guruhlanish hosil bo‘lgani aniqlandi. 20000 ta yozishmadan iborat datasetda esa semantik variativlikning ortishi klasterlar barqarorligining pasayishiga olib keldi. Tadqiqot natijalari K-means algoritmi asosida olingan klasterlash natijalari keyingi bosqichda transformer modellarini (XLM-R, mBERT, BERTbek) o‘qitish uchun samarali belgilash bazasini yaratishda muhim ahamiyatga ega ekanini ko‘rsatadi. Ushbu yondashuv ijtimoiy tarmoqlarda xavfli kontentni avtomatik aniqlash va monitoring qilish tizimlarini takomillashtirishda amaliy ahamiyat kasb etadi.
Copyright (c) 2026 Babomurodov Ozod Jurayevich, Qo’yliyeva Feruzaxon Alisher qizi https://creativecommons.org/licenses/by/4.0
BULUTLI MA’LUMOTLAR OMBORINING HIMOYALANISH DARAJASINI OSHIRISH UCHUN AUTENTIFIKATSIYALANGAN SHIFRLASH USULIDAN FOYDALANISH
Autentifikatsiyalangan shifrlash (ya’ni shifrlash va o‘zaro bog‘liq funksiyalarni bir vaqtda bajarish jarayoni) ma’lumotlarning maxfiyligini, yaxlitligi ustidan nazoratni va ularning haqiqiyligini ta’minlash uchun mo‘ljallangan. Umumiy kalitlarga ega bo‘lgan tomonlar nafaqat shifrlangan xabarlar almashinuvini tashkil etishlari, balki xabarga imzoga o‘xshash maxsus qo‘shimchalar (imitovstavkalar) kiritish orqali yaxlitlikni nazorat qilish imkoniyatiga ham ega bo‘ladilar. Bu esa qabul qilingan xabarning haqiqiyligiga ishonch hosil qilish imkonini beradi. Autentifikatsiyalangan shifrlash ma’lum bir funksional moslashuvchanlikni ta’minlaydi: kalitlar ma’lumotlarni qayta ishlash jarayonida yangilanib turishi mumkin; xabarning faqat ayrim qismlarini shifrlash yoki shifrlangan hamda ochiq qismlarni navbatma-navbat yuborish imkoniyati mavjud; imitovstavkalar (nazorat qo‘shimchalari) ba’zan umuman bo‘lmasligi yoki aksincha, bir necha marta qo‘llanilishi mumkin. Asosan autentifikatsiyalangan shifrlash algoritmlari blokli kriptotizimlar asosida quriladi. Ularning ayrimlari klassik yondashuvni taqlid qilib, ikki kalitdan foydalanishni istisno etadi, boshqalari esa butunlay yangi, original konstruktsiyalardir.
Copyright (c) 2026 O‘rinov Nodirbek Toxirjonovich, Akbarova Madina Shavkatbek qizi https://creativecommons.org/licenses/by/4.0
GWO (KULRANG BO‘RI) ALGORITMIDAN FOYDALANIB KANAL TIZIMLARIDA SUV RESURSLARINI OPTIMAL TAQSIMLASH
Kulrang bo‘ri optimizatori (GWO) populyatsiyaga asoslangan metaevristik algoritm bo‘lib, kulrang bo‘rilarning ierarxiya ko‘rinishida ov qilish mexanizmiga asoslangan sun’iy intellekt algoritmi hisoblanadi. GWO algoritmining soddaligi, moslashuvchanligi va sozlanadigan parametrlari kamligi sababli, u keng ko‘lamli optimallashtirish masalalarida qo‘llaniladi. Shu bilan birga qidiruv ko‘nikmalarining sustligi, lokal optimumlarda turg‘unlik va yaqinlashish tezligining pastligi kabi ba’zi kamchiliklarga ham ega. Algoritmning qishloq xo‘jaligi suv resurslarini boshqarish bo‘yicha moslashuvchanligi yetarli darajada o‘rganilmagan. Suvni tejash texnologiyalarini jadal rivojlantirish hamda kanal tizimlarida suv uzatish va taqsimlash samaradorligini oshirish muhim ahamiyatga ega. Ushbu tadqiqot qo‘lda boshqarishning murakkabligi, yakuniy kanal tizimini umumiy optimallashtirish, suv resurslaridan foydalanish samaradorligining pastligi va boshqaruv samaradorligining yetarli emasligi kabi muammolarni hal qilishga qaratilgan.
Copyright (c) 2026 Abduraxmonov Olim Ne’matullayevich https://creativecommons.org/licenses/by/4.0
A CASE-BASED REASONING FRAMEWORK WITH SOFT SIMILARITY AND SUBMODULAR OPTIMIZATION FOR PERSONALIZED CAREER GUIDANCE
The increasing availability of longitudinal academic data in higher education creates new opportunities for personalized and evidence-based career guidance. However, many existing AI-driven guidance systems rely on black-box predictive models and provide limited interpretability or actionable recommendations. This paper proposes a principled Case-Based Reasoning (CBR) framework for personalized career guidance that leverages institutional academic data and historical student trajectories. The proposed approach models each graduate as a structured case comprising academic profiles, temporal learning trajectories, contextual attributes, observed outcomes, and contributing actions. A hybrid similarity function is employed to retrieve relevant cases from heterogeneous educational data, while a soft-retrieve aggregation mechanism ensures robustness under partial observability and noisy inputs. To bridge the gap between relevance estimation and actionable guidance, the reuse phase is formulated as a constrained submodular optimization problem, enabling the selection of compact and feasible action sets with theoretical approximation guarantees. Theoretical analysis establishes stability of the soft-retrieve mechanism, probabilistic consistency of outcome inference, and near-optimality of the reuse strategy. Experimental evaluation on real institutional data collected through a higher education management information system demonstrates that the proposed framework consistently outperforms classical CBR and baseline machine learning approaches in outcome prediction. Moreover, submodular reuse optimization significantly improves action recommendation quality by increasing competency coverage and reducing redundancy, particularly in low-cardinality settings that are most relevant for practical advising. The results indicate that combining case-based reasoning with submodular optimization offers a robust, explainable, and deployable solution for personalized career guidance in higher education.
Copyright (c) 2025 Shodmonov Davronjon Abduvaliyevich https://creativecommons.org/licenses/by/4.0
MASOFAVIY TA’LIM PLATFORMALARIDA VIDEO DARSLARNI BOSHQARISHNING TIZIMLI MODELI VA ULARNING TA’LIM SAMARADORLIGIGA TA’SIRINI MATEMATIK BAHOLASH
Ushbu maqolada masofaviy ta’lim platformalarida video darslarni yozib olish, saqlash va ulashish jarayonlarini boshqarishga qaratilgan tizimli yondashuv taklif etiladi. Tadqiqotda video darslarni avtomatlashtirilgan boshqarish jarayonlari o‘zaro bog‘liq modullar majmui sifatida modellashtirilib, ularning ta’lim samaradorligiga ta’siri matematik modellar yordamida baholanadi. Taklif etilgan model video faolligi, foydalanuvchi interaktivligi, kontent sifati va texnik barqarorlik kabi ko‘rsatkichlarni yagona integrallashgan samaradorlik funksiyasida birlashtiradi. Eksperimental natijalar avtomatlashtirilgan video boshqaruv tizimi talabalarning o‘quv faolligini oshirishi hamda o‘qituvchilarning ish yukini optimallashtirishini ko‘rsatdi. Olingan natijalar masofaviy ta’lim platformalarini loyihalash va takomillashtirishda tizimli va matematik yondashuvning samaradorligini tasdiqlaydi.
Copyright (c) 2025 Ulashev Asrorjon Nasriddinovich, Baratov Jasur Rustam o‘g‘li https://creativecommons.org/licenses/by/4.0
NOANIQLIK SHAROITIDA KUCHLARNI SAMARALI BOSHQARISH BO‘YICHA QAROR QABUL QILISHGA KO‘MAKLASHUVCHI ALGORITM
Hozirgi zamonaviy harbiy harakatlarda komandirlarning tezkorlik, aniqlik va noaniqlik ostida qaror qabul qilish qobiliyati katta ahamiyat kasb etmoqda. Zamonaviy jangovar harakatlarda qaror qabul qilish jarayonida noaniqlik, noma’lum parametrlar va dinamik o‘zgaruvchan sharoitlar mavjudligi strategik va taktik yechimlarni qabul qilishni murakkablashtiradi. Bunday sharoitda harbiy harakatlarni samarali rejalashtirish va boshqarish ko‘pincha real vaqt rejimida va cheklangan resurslar doirasida optimal qarorlar qabul qilishni talab etadi. Bu esa axborot oqimlarini tahlil qilish, modellashtirish va qarorlarni qo‘llab-quvvatlovchi algoritm va dasturiy vositalarni ishlab chiqishni taqozo etadi. Ushbu maqolada Lanchester kvadratik modelining natijalaridan kelib chiqqan taktik yechimlarni noaniqlik sharoitida qaror qabul qilish jarayonlariga moslashtirgan holda qaror qabul qilish muammosi o‘rganilgan. Xususan, jang modeli asosida shakllantirilgan taktik yechimlar noaniq mantiq (fuzzy logic) metodologiyasi asosida tahlil qilinib, jangovar parametrlar (kuchlar soni, jangovar imkoniyat) to‘liq aniqlanmagan yoki ehtimolli bo‘lgan holatlarda ham qaror qabul qiluvchi tomonga eng maqbul taktikani tanlashga ko‘maklashuvchi algoritm ishlab chiqilgan. O‘tkazilgan simulyatsiya natijalari taklif etilgan algoritmning samaradorligi va amaliy ahamiyatini ishonchli tarzda tasdiqladi.
Copyright (c) 2025 Akbaraliyev Baxtiyorjon Bakirovich, Karimov Nodirbek Madirimovich https://creativecommons.org/licenses/by/4.0
INFLUENCE OF FALSE CLOCK SIGNALS ON IMAGE RECOVERY FROM СOMPROMISING ЕLECTROMAGNETIC ЕMANATIONS OF VIDEO PATH OF COMPUTER SYSTEMS
This paper presents an approach to ensuring the protection of computer system video signals from leakage via сompromising еlectromagnetic еmanations channels. This approach is based on the generation and emission of false clock signals. The influence of the false clock signal's temporal shift on the synchronization and reconstruction of visual information is considered. Experimental verification was performed using software-defined radio tools and the GNU Radio and TempestSDR software packages. The restoration quality was assessed using the SSIM metrics, Pearson's correlation coefficient, LPIPS, and PSNR. The obtained results demonstrate that increasing the temporal shift leads to deterioration of the structural and perceptual characteristics of the restored images, including the loss of the information component. The practical significance of this work lies in the possibility of increasing the level of protection of computer systems from technical information leakage channels.
Copyright (c) 2025 Foziljonov Khojiakbar Ismoil o‘gli https://creativecommons.org/licenses/by/4.0
MODERNIZATION OF THE EDUCATION SYSTEM IN THE CONTEXT OF DIGITAL TRANSFORMATION: ARTIFICIAL INTELLIGENCE, INNOVATIVE TECHNOLOGIES, AND CREATIVE APPROACHES
This article examines current trends in the digital transformation of education, the impact of artificial intelligence and innovative technologies on the educational process, and the training of new types of personnel. Particular attention is paid to the integration of AI into Uzbekistan's education system, the development of digital competencies, and the fostering of creative thinking in students. The need for a balance between technological progress and humanistic values ​​in the educational process is emphasized, and key areas for modernizing the educational environment are outlined.
Copyright (c) 2025 Shahida Mannanova, Marat Nuritdinov https://creativecommons.org/licenses/by/4.0