SU Scholar
Жарияланымдар
Ағымдағы сүзгі нәтижелері бойынша есеп жасаңыз.
ФОРМАЛИЗАЦИЯ МОДЕЛИ АВТОМАТИЗИРОВАННОГО УПРАВЛЕНИЯ ЭКСПЛУАТАЦИОННЫМИ ПРОЦЕССАМИ НА ЖЕЛЕЗНОДОРОЖНОМ ТРАНСПОРТЕ
ПРИМЕНЕНИЕ БЛОКЧЕЙН ДЛЯ ПОВЫШЕНИЯ ДОВЕРИЯ И ЗАЩИТЫ ДАННЫХ В IOT СРЕДЕ
BLOCKCHAIN-BASED ARCHITECTURE FOR DECENTRALIZED IDENTITY AND ACCESS MANAGEMENT IN INTERNET OF THINGS SYSTEMS
RESEARCH OF A MOBILE AGRICULTURAL ROBOT ON THE BASIS OF LOCAL ARTIFICIAL INTELLIGENCE FOR REAL-TIME DETECTION OF CLUBERRY DISEASES IN THE FIELD
ПРОЕКТИРОВАНИЕ ЗАЩИЩЕННОГО СЕТЕВОГО ШЛЮЗА ДЛЯ ОБЛАЧНЫХ ПРИЛОЖЕНИЙ
Gamification and artificial intelligence in education: A review of innovative approaches to fostering critical thinking
REVIEW OF STATISTICAL DATA ON THE SITUATION WITH SUICIDES AMONG THE CHILD POPULATION OF THE REPUBLIC OF KAZAKHSTAN IN A COMPARATIVE ASPECT
Optimizing Internet-of-Things Energy Management: Integrating Theory of Inventive Problem Solving With Transfer Learning and Advanced Optimization Algorithms | IEEE Journals & Magazine | IEEE Xplore
DOI: 10.1109/ACCESS.2025.3590050
SOFTWARE PROCESSING OF SATELLITE IMAGES OF FIELDS OF NOCTILUCENT CLOUDS TO IDENTIFY THEIR STRUCTURE
DOI: 10.52167/1609-1817-2025-138-3-285-293
Источник: http://dx.doi.org/10.52167/1609-1817-2025-138-3-285-293
Identifying the graph-based typology features for machine learning models in financial fraud detection
DOI: 10.15587/1729-4061.2025.327410
ПРОГНОЗИРОВАНИЕ СУИЦИДАЛЬНЫХ НАКЛОННОСТЕЙ ПОДРОСТКОВ НА ОСНОВЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТ
DOI: 10.54309/IJICT.2025.23.3.006
Mathematical Approaches and Algorithms in Big Data Architecture and Hybrid System Efficiency
DOI: 10.28991/HIJ-2025-06-03-016
Predicting Adolescent Suicide Risk in Smart Cities: An AI-Driven, Privacy-Preserving Architecture
DOI: 10.28991/HIJ-2025-06-04-014
Using the Object Perimeters in MGA Algorithms for the Best Choice of Cybernetic Security Means
DEEP LEARNING-BASED CYBERBULLYING DETECTION IN KAZAKH: A HYBRID APPROACH FOR IMPROVED TEXT CLASSIFICATION
EVALUATING THE EFFECTIVENESS OF A VOICE ACTIVITY DETECTOR BASED ON VARIOUS NEURAL NETWORKS.
DEVISING AN APPROACH TO CONDUCTING FULL-SCALE EXPERIMENTS IN PHYSICS THAT PROVIDES FOR THE IMPROVED EFFICIENCY WHEN MEASURING PHYSICAL QUANTITIES.
Federated learning-based intrusion detection in IoT networks: Performance evaluation and data scaling study
DOI: 10.3390/JSAN14040078
Optimizing Magnet Spacing to Enhance Power and Energy Density in Magnetically Levitated Electromagnetic Vibration Energy Harvesters
DOI: 10.3390/MI16121404