Staff Detail

Conferences

• Machine Learning-based Recommendation Systems: Issues, Challenges and Solutions.
• A Comprehensive Review Study on Digital Modeling Pertaining to Atmosperic Emergency Estimation Probes Initial Precaution Structures
• A Review of Machine Learning and Image Processing Architectures for Agricultural Applications
• A Comprehensive Review: Machine Learning in Natural Disaster Prediction Investigates Early Warning Systems
• A Comprehensive Review Study on Cross-Domain Transfer Learning for Image Segmentation and Recommendation
• Forecast Stock Market Based On LSTM And Transfer Learning
• Automated Hyperparameter Tuning: Explore Methods Like Bayesian Optimization and Genetic Algorithms
• THE SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF USER INTERFACES ON RECOMMENDATIONS SYSTEMS
• ENHANCING USER EXPERIENCE WITH BLOCKCHAIN AND DIDS IN RECOMMENDER SYSTEMS
• REINFORCEMENT LEARNING TECHNIQUES FOR IMPROVING RECOMMENDER SYSTEMS
• THE USE OF CORDIC VARIATIONS IN SELF LOCATION ESTIMATION PROCESS VIA LINE-OF-SIGHT AND SINGLE-BOUNCED NON-LINE-OF-SIGHT SIGNAL ARRIVING APPROACHES
• Online Tourism Promotion in the TRNC