Full Description
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.
This book presents original research conducted at the intersection of artificial intelligence and human development. The main topics covered in this collection include the development of neural network classifiers applied to various domains such as transport analysis, emotion recognition, and land use classification, as well as the analysis of user preferences and literary texts using machine learning techniques. Key cybersecurity tasks addressed here include anomaly detection, phishing and malware detection, hybrid post-quantum cryptographic approaches, and cyber resilience assessment of critical infrastructure facilities.
Special attention is paid to the intersection of AI with human health. This includes research on brain age estimation, driver drowsiness detection, diagnosis of mental disorders based on speech biomarkers, and epileptic seizure detection. Applications in the food industry and agriculture, the transformation of education through adaptive learning systems, and fundamental research areas such as bias in recommendation systems, differential privacy mechanisms, and optimization of quantum key distribution protocols are also covered.
The book is intended for specialists working in AI, machine learning, information security, data science, educational technology, and other related disciplines.
Contents
Intelligent, lightweight and secure authentication scheme for smart home.- Comparative Analysis of the Effectiveness of Various Machine Learning Models in Content Generation Tasks.- Deepfakes as a Cyberattack Tool: New Vectors of Social Engineering.- Development of a Classifier of Motor Transport Based on Neural Networks.- Research and Development of a Software Module for Analyzing the Preferences of Online Store Users.- Development of a Classifier of Human Emotions Based on Neural Networks.- Approaches to the Analysis of Literary Texts Using Machine Learning Technologies.- Analysing Deep Learning Models for Detecting Anomalies in Video Surveillance Data.- Direct Response Advertising for Small Businesses in the Tourism Industry: An Analysis of Effectiveness (Based on the Promotion of a Custom Tour to the Caucasus).- Comparative Analysis of Deep Learning and Ensemble Methods for Intrusion Detection in IoT Networks.- Actualization of the "Hero Image" as a Consequence of the Convergence of Artificial Intelligence and Telecommunication Systems. -Optimization of Winemaking Processes Using Artificial Intelligence Methods.
