EU

• IMPLEMENTING DECISION-MAKING METHODS BASED ON MULTIPE NEURAL NETWORKS (Year: 2014)
• PRIMENA POSLOVNE INTELIGENCIJE I INTERNETA U FINANSIJAMA (Year: 2014)
• ДИГИТАЛНА БИБЛИОТЕКА ДОКТОРСКИХ ДИСЕРТАЦИЈА УНИВЕРЗИТЕТА У НОВОМ САДУ (Year: 2014)
• ZAŠTITA LIČNIH PODATAKA U BIH I SRBIJI (Year: 2014)
• EVALUATION OF THE APPEAL OF WEBSITE DESIGN TO A TARGET GROUP WITH THE AID OF ARTIFICIAL NEURAL NETWORK SOFTWARE (Year: 2015)
• AGGREGATION FUNCTIONS AS A BASE FOR DECISION MAKING (Year: 2015)
• THE ENTREPRENEURIAL FACETS OF PUBLIC ADMINISTRATION (Year: 2015)
• RAZVOJ PREDUZETNIŠTVA I INDUSTRIJSKE POLITIKE U EVROPSKOJ UNIJI I ZEMLJAMA ZAPADNOG BALKANA (Year: 2015)
• AN ARTIFICIAL NEURAL NETWORK MODEL FOR EFICIENT ESTIMATION OF THE NUMBER OF MOBILE STOCHASTIC EM SOURCES IN A SPACE SECTOR (Year: 2016)
• INFORMATION FUSION IN INTELLIGENT SYSTEMS (Year: 2016)
• THE USE OF ARTIFICIAL NEURAL NETWORKS IN CLINICAL MEDICINE (Year: 2016)
• EFFECTIVE DIAGNOSIS OF HEART DISEASE PRESENCE USING ARTIFICIAL NEURAL NETWORKS (Year: 2017)
• ROBUSTNESS OF TWO-LAYERED FEEDFORWARD NEURAL NETWORK (Year: 2017)
• NEURAL MODEL FOR FAR-FIELD 1D LOCALIZATION OF MOBILE STOCHASTIC EM SOURCES WITH PARTIALLY CORRELATED RADIATION (Year: 2017)
• PREDICTION OF HOURLY HEATING ENERGY USE FOR HVAC USING FEEDFORWARD NEURAL NETWORKS (Year: 2017)
• OPTIMIZATION OF THE SPEAKER RECOGNITION IN NOISY ENVIRONMENTS USING A STOCHASTIC GRADIENT DESCENT (Year: 2017)
• METHODOLOGICAL FRAMEWORK ON ENTREPRENEURIAL ORIENTATION AND INNOVATION IN THE PUBLIC SECTOR (Year: 2017)
• THE PRINCIPLE OF CONSTRUCTING THE ALGORITHM OF THE FUNCTIONING OF THE NEURAL NETWORK - THE BASIS OF THE EXAM SYSTEM OF ARTIFICIAL INTELLIGENCE (Year: 2019)
• SIMPLE NEURAL MODEL FOR APPROXIMATE LOCALIZATION OF MOBILE STOCHASTIC EM SOURCES WITH VARIABLE SIGNAL LEVEL AND LINEAR TRAJECTORY IN THE AZIMUTHAL PLANE (Year: 2019)
• IMPORTANCE OF A LEGAL FRAMEWORK IN SMART CONTRACTS (Year: 2019)
• AN END TO END LEARNING APPROACH FOR DISTANCE ESTIMATION TRAINED WITH ARTIFICIALLY GENERATED STEREO IMAGES (Year: 2020)
• MULTI-LAYER PERCEPTRON TRAINING BY GENETIC ALGORITHMS (Year: 2020)
• PREPROCESSING IMAGE DATA FOR DEEP LEARNING (Year: 2020)
• DISTRIBUTED LASER THERAPY SYSTEM (Year: 2020)
• MODELLED NEURAL NETWORKS FOR MULTIPLE OBJECT TRACKING (Year: 2021)
• APPLICATION OF NEURAL NETWORKS IN VIDEO GAME SIMULATION (Year: 2022)
• CONVOLUTIONAL NEURAL NETWORKS FOR REAL AND FAKE FACE CLASSIFICATION (Year: 2022)
• THE PROCESS OF TRAINING A GENERAL-PURPOSE AUDIO CLASSIFICATION MODEL (Year: 2022)
• THE APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR FINGERPRINT RECOGNITION: A COMPARATIVE ANALYSIS (Year: 2022)
• SOFTWARE SOLUTIONS FOR STUDYING MENTAL FATIGUE (Year: 2022)
• IMAGE SEGMENTATION PROCESSING FOR THERMOGRAPHIC ANALYSIS (Year: 2022)
• MOBILE ROBOT PATH PLANNING OPTIMIZATION BY ARTIFICIAL BEE COLONY (Year: 2022)
• REVEALING TOLUENE BEHAVIOUR IN THE ATMOSPHERE BASED ON COUPLING OF METAHEURISTICS, XGBOOST, AND SHAP (Year: 2023)
• APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR THE CLASSIFICATION OF HUMAN EMOTIONS (Year: 2023)
• ADVANCED TECHNOLOGIES AS A FRAMEWORK FOR SUSTAINABLE MARKETING CAMPAIGNS (AI APPLICATION IN NEUROMARKETING) (Year: 2023)
• AMERICAN SIGN LANGUAGE ALPHABET RECOGNITION AND TRANSLATION (Year: 2023)
• ARTIFICIAL INTELLIGENCE-BASED FRAMEWORK FOR ANALYZING CRISES-CAUSED AIR POLLUTION (Year: 2024)