International scientific journal "Modern Science and Research"

ISSN: 2181-3906;   OAV Guvohnoma №042359;   Impact factor (UIF-2022): 8.2
Ushbu jurnalda O'zbekiston va chet davlatlar olimlari ilmiy maqolalari chop etiladi.
Ushbu jurnal OAK ro'yxatida mavjud xalqaro bazalarda indekslanib, elektron va bosma holatda nashr etib boriladi.
Jurnalning rasmiy tillari: o‘zbek, rus, ingliz
Jurnal telegram kanali: https://t.me/modernscience_research
Maqola muallifiga BEPUL qabul qilinganlik haqida tabriknoma, sertifikat, indekslanganligi haqida ma'lumotnoma va mualliflik guvohnomasi beriladi.
Jurnal har oyda nashr qilinadi.
Maqolalar yuborish uchun: @modernscience_research
golibboymurodov6@gmail.com

Articles Information letter

Oxirgi qushilgan maqolalar:



MOTEL VA KICHIK MEHMONXONA ARXITEKTURASI: O'ZBEKISTON TRANSPORT TARMOQLARI BILAN BOG'LIQ YANGI DIZAYN TENDENSIYALARI

Ushbu maqolada O‘zbekiston transport tarmoqlari bilan bog‘liq holda motel va kichik mehmonxonalarning yangi dizayn tendensiyalari tahlil qilinadi. Tadqiqot davomida transport infratuzilmasi, ekologik innovatsiyalar va milliy arxitektura elementlari asosida yangi loyihalarning istiqbollari o‘rganildi.


12.06.2025 Volume 4 Issue 6 View more Download
OFFSHOR KOMPANIYALARNING XALQARO XUSUSIY HUQUQDAGI MAQOMI

Mazkur maqolada offshor kompaniyalarining xalqaro xususiy huquq doirasidagi huquqiy maqomi tahlil qilinadi. Asosiy e’tibor kompaniyaga nisbatan qo‘llaniladigan shaxsiy qonunni (lex societatis) aniqlovchi ikkita asosiy yondashuv — inkorporatsiya nazariyasi va asosiy faoliyat ko‘rsatiladigan joy nazariyasining (real seat theory) nazariy hamda amaliy tafovutlariga qaratiladi. Tadqiqotda qiyosiy-huquqiy, keys-tahlil va doktrinal yondashuvlar orqali offshor yurisdiktsiyalarning huquqiy xususiyatlari, xalqaro sud amaliyoti va O‘zbekiston qonunchiligidagi mavjud tartiblar tahlil qilinadi.


12.06.2025 Volume 4 Issue 6 View more Download
SELECTING AND JUSTIFYING DEEP LEARNING MODELS FOR EMOTION CLASSIFICATION

This paper focuses on the selection and justification of deep learning models for emotion classification tasks. It provides a comprehensive analysis of various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory networks, and Transformer models, assessing their performance in recognizing and classifying human emotions from multimodal data sources. The study examines the strengths and limitations of each model with respect to data type, training efficiency, computational complexity, and generalization capabilities. Furthermore, criteria for optimal model selection tailored to real-world emotion recognition applications are discussed. The findings contribute to enhancing the accuracy and robustness of emotion classification systems and offer valuable guidelines for researchers and practitioners developing advanced affective computing solutions.


12.06.2025 Volume 4 Issue 6 View more Download
POINTS TO MINIMIZE RISKS IN THE INFORMATION GIVEN TO THE CLIENTS BUYING A CREDIT

In this article, one of the most important measures to increase the creditworthiness of enterprises is the scientific improvement of the methods of transition to the practice of assessment by dividing the obligations in direct calculations into internal and external obligations.


12.06.2025 Volume 4 Issue 6 View more Download
ZAHIRIDDIN MUHAMMAD BOBURNING ILMIY VA ADABIY MEROSI

Ushbu maqolada o‘zbek mumtoz adabiyotining yirik vakili sanalgan Zahiriddin Muhammad Boburning hayot yo‘li, boshqa davlatlarga qilgan yurishi, Boburning avlodi, uning asl ismi ijodi va tarjimashunosliga beqiyos urg‘u beriladi.


12.06.2025 Volume 4 Issue 6 View more Download
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