دانلود کتاب کنفرانس بین‌المللی AITHD-2025 با موضوع هوش مصنوعی به مثابه فناوری توسعه انسانی

This book is based on the best papers accepted for presentation during the AITHD- 2025: International Conference on Artificial intelligence as a Technologies of Human Development on September 17–19, 2025, in Vernadsky Federal University and North Caucasus Federal University, Russia, and online. The book presents original research at the intersection of artificial intelligence and human development, exploring how machine learning technologies are reshaping industries and enhancing human capabilities. The collection covers the development of neural network classifiers for various tasks, including transport analysis, emotion recognition, and land use classification, as well as approaches to analyzing user preferences and literary texts using machine learning technologies. Significant attention is given to cybersecurity problems: anomaly detection in information systems, comparative analysis of deep learning methods for intrusion detection in IoT networks, phishing website detection, and malware detection. Hybrid cryptographic approaches combining post-quantum and classical methods are considered, along with cyber resilience assessment of critical information infrastructure facilities. The intersection of AI with human health becomes a central theme. Research on brain age estimation, driver drowsiness detection systems based on physiological data, speaker recognition under noisy conditions, and mental workload assessment in multiple sclerosis patients is presented. Work on multimodal sentiment analysis, automated diagnosis of mental disorders based on speech biomarker analysis, and epileptic seizure detection using neural networks is included. Applications in the food industry and agriculture demonstrate AI’s role in optimizing winemaking processes, predicting antioxidant activity of wine materials, and IoT-enabled precision farming for sustainable agriculture. The transformation of education through AI is examined through research on adaptive foreign language learning systems, tools for academic vocabulary learning, and teacher training for AI integration in professional activities. Fundamental research includes bias problems in recommendation systems, fake news detection methods, differential privacy mechanisms, image restoration using diffusion models, and optimization of quantum key distribution protocols. Media and social impact studies cover advertising effectiveness analysis in tourism, the convergence of AI and telecommunication systems, machine vision market analysis, and automated hero image monitoring systems in social networks. Issues of cyberbullying and online safety are also addressed. The book is intended for specialists in artificial intelligence applications, machine learning engineering, information security, data science, educational technology, and researchers at the intersection of technological innovation and human development.