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.

Рассмотрены виды тестовых заданий по филологическим дисциплинам и методика их создания, дано определение теста, пояснено понятие предметной области. Тестовые задания разделены на виды, приведены примеры. Показано, что компетентностные знания, умения и навыки студентов можно оценить на основе тестовых образцов.

The food industry is a branch of the national economy that produces food products. The industry includes enterprises of meat and dairy, oil and fat, fish, flour and cereals, pasta, fruit and vegetable canning, dairy and cream, sugar, tea, confectionery, bakery, grape and champagne wines, alcohol, vodka, tobacco, brewing, thirst-quenching, soap and other industries.

Ushbu maqolada fizika yo‘nalishidagi universitet talabalari uchun yarimo‘tkazgichli lazerlarni o‘qitishda axborot texnologiyalari va virtual laboratoriyalardan foydalanish masalasi nazariy jihatdan tahlil qilingan. Amaldagi ta’lim jarayonida mazkur texnologiyalarning yetarli darajada qo‘llanilmayotgani muammo sifatida ko‘rsatib o‘tilgan. Lazer hodisasining murakkab fizik tabiati va uni an’anaviy metodlar bilan tushuntirishdagi qiyinchiliklar yoritilgan. Shuningdek, zamonaviy axborot-kommunikatsiya texnologiyalari, xususan interaktiv dasturlar, 3D modellashtirish, virtual laboratoriyalar va multimedia vositalarining talabalarda mavzuni tushunishga bo’lgan ta’siri o’rganilgan.

Suyaklar — odam va umurtqali hayvonlar skeletining asosiy qismi. Suyak toʻqimasi biriktiruvchi toʻqimaning bir xili. Suyak boʻgʻimlar, boylamlar, muskullar va oʻziga birikkan paylar bilan birga tayanchharakat apparatini hosil qiladi. Suyak hujayralar (osteotsitlar, osteoklastlar) va hujayralar oraligʻi mineral moddalardan tarkib topgan. Suyak embrional rivojlanish davrida biriktiruvchi toʻqima — mezenximadan hosil boʻladi. Birlamchi suyak ichki togʻay skeletning suyaklanishidan (yelka, son va boshqalar), ikkilamchi suyak teri osti tangachalaridan (peshona, tepa va boshqa suyaklar) vujudga keladi.