EU

Papers:

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)