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.

Освоение методики преподавания русского языка как иностранного становится важным условием и неотъемлемой частью подготовки студентов высших педагогических учреждений Узбекистана к будущей профессиональной деятельности. Цель статьи - подробно описать лингвистические и речевые аспекты обучения устному и письменному общению на русском языке как иностранном, как новом языке.

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.

This article focuses on enhancing mathematics education in academic lyceums through the application of interactive methods. It discusses the role of modern educational technologies, active learning strategies, and project-based learning in mathematics education. Additionally, the effectiveness of interactive methods in increasing student engagement, fostering critical thinking, and developing problem-solving skills is analyzed. The article serves as a valuable resource for teachers, education specialists, and academic lyceum administrators.

Ushbu maqolada boshlang‘ich sinf o‘quvchilarini darsga jalb qilishda muammoli ta’lim metodlarining o‘rni va samaradorligi tahlil qilingan. Tadqiqot davomida turli muammoli metodlar — muammoli savollar, aqliy hujum, rolli o‘yinlar va topshiriqlar orqali o‘quvchilarning darsga bo‘lgan faolligi va qiziqishi qanday oshishi ko‘rib chiqildi. Tajriba darslari asosida aniqlanishicha, muammoli metodlar o‘quvchilarda mustaqil fikrlash, savol berish va ijodiy yondashuvni shakllantiradi. Mazkur maqolada amaliy dars ishlanmasi, metodlar turlari va ularning qulayligi haqida konkret misollar keltirilib, boshlang‘ich ta’limda ushbu yondashuvni keng joriy etish bo‘yicha tavsiyalar berilgan.