Search Results - "Azerbaijan Journal of High Performance Computing" :: K.UTB vyhledávací portál

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THAI TEXT-TO-IMAGE PROMPT ENGINEERING BY PRE-TRAINED LARGE LANGUAGE WITH STABLE DIFFUSION MODEL

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SURVEY OF USAGE ARTIFICIAL INTELLIGENCE MECHANISM IN THE LOAD BALANCER

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DIFFERENCE BETWEEN OPENHPC AND HTCONDOR CLUSTER SYSTEMS: IN-DEPTH ANALYSIS

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APPLICATION OF AHP FOR WEIGHTING CLIENTS IN FEDERATED LEARNING

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PREDICTIVE MODELING OF CLICK-THROUGH RATES: A REGRESSION ANALYSIS APPROACH

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PROVIDE A MODEL BASED SENTIMENT ANALYSIS SYSTEM FOR SALES PREDICTION IN MARKETING ACCORDING TO THE AGA-LSTM NEURAL NETWORK MODEL

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TRAFFIC FLOW PREDICTION BASED ON VANET DATA BY COMBINING ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM

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RESEARCH ON DATABASE TYPES AND METHODS TO STANDARDIZE DATABASE TYPES IN THE FIELD OF TRANSPORT INFRASTRUCTURE

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A UNIFIED PARADIGM OF CLASSIFYING GI TRACT DISEASES IN ENDOSCOPY IMAGES USING MULTIPLE FEATURES FUSION

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SMART CONTRACT IMPLEMENTATION USING BLOCKCHAIN IOV FOR VEHICLE ACCIDENT INVESTIGATION

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RESOURCE DISCOVERY IN DISTRIBUTED EXASCALE SYSTEMS USING A MULTI-AGENT MODEL: CATEGORIZATION OF AGENTS BASED ON THEIR CHARACTERISTICS

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SIMULATION-BASED NETWORK FAULT INJECTION IN THE CLOUDSIM PLUS CLOUD SIMULATION ENVIRONMENT

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DIRECT MODEL REFERENCE TAKAGI–SUGENO FUZZY CONTROL OF SISO NONLINEAR SYSTEMS DESIGN BY MEMBERSHIP FUNCTION

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THE SOLUTIONS TO ORGANIZE DATA FOR TRAFFIC INFRASTRUCTURE MANAGMENT COMBINED

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REGISTRATION OF DRONES THROUGH BLOCKCHAINS

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A REVIEW SIOT (SOCIAL INTERNET OF THINGS): TECHNIQUES, APPLICATIONS, CHALLENGES AND TRENDS

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A MODIFIED FUZZY SUPPORT VECTOR MACHINE CLASSIFICATION-BASED APPROACH FOR EMOTIONAL RECOGNITION USING PHYSIOLOGICAL SIGNALS

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SHORT-TERM WIND SPEED FORECASTING USING DEEP VARIATIONAL LSTM

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A SURVEY ON CHALLENGES OF FEDERATED LEARNING

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DEEP RECURRENT NEURAL NETWORK MODELS FOR FORECASTING SHORT-TERM WIND SPEED

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