SU Science
Жарияланымдар
Ағымдағы сүзгі нәтижелері бойынша есеп жасаңыз.
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
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
Estimation of the Influence of Self-Induction on the Efficiency of an Electromagnetic Vibration Energy Harvester with Two Freely Moving Magnets
Optimizing Magnet Spacing to Enhance Power and Energy Density in Magnetically Levitated Electromagnetic Vibration Energy Harvesters
DOI: 10.3390/MI16121404