AITHD-2025: International Conference on Artificial Intelligence as a Technology of Human Development
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Beschreibung
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.
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.
Includes recent research on Computational Intelligence for Humans Is based on the best papers accepted for presentation during the AITHD-2025 Written by experts in the field
Autor*in
Maria Lapina
Themen in »AITHD-2025: International Conference on Artificial Intelligence as a Technology of Human Development«
Artificial Intelligence (AI) Human Development Technology Machine Learning Deep Learning Neural Networks Natural Language Processing Computer Vision Robotics Automation Ai Ethics Ai Safety Artificial General Intelligence (Agi) Sustainable Development