Proceedings of International Conference on Artificial Intelligence and Communication Technologies (ICAICT 2023)

Multi-Objective Dynamic Optimization Scheme for Unmanned Aerial Vehicles.- 3D Scene Modeling and Real-time Infrared Simulation Technology Based on Artificial Intelligence Algorithm.- Extraction and Fusion of Geographic Information from Multi-source Remote Sensing Images Based on Artificial Intelligence.- Construction of Intelligent Recognition System of Automobile State Based on Digital Image Processing.- Design of Fully Automatic Calibration Scheme for Load Box Based on Visual Recognition.- The Intelligent Human-computer Interaction Method for Application Software of Electrical Energy Metering Based on Deep Learning Algorithm.- Simulation of Vehicle Scheduling Model in Logistics Distribution Center Based on Artificial Intelligence Algorithm.- Trajectory Optimization Control System of Intelligent Robot Based on Improved Particle Swarm Optimization Algorithm.- Short Text Classification of Invoices Based on BERT-TextCNN.- Design of Hovering Orbit and Fuel Consumption Analysis for Spacecraft Considering J2 Perturbation.- Optimal Design of Hydrodynamic Journal Bearing Based on BP Neural Network Optimized by Improved Particle Swarm Algorithm.- A Survey of Target Orientation Detection Algorithms Based on GPU Parallel Computing.- Application and Prospect of Deep Learning and Machine Learning Technology.- Logistics Security Integrated Communication System under The Background of 5G Artificial Intelligence.- Design and Optimization of Business Decision Support System Based on Deep Learning.- Performance Evaluation of Container Identification Detection Algorithm.- Design and Implementation of an Internet of Things Based Real-Time Five-Layer Security Surveillance System.- Research and Implementation of Data Feature Extraction Technology for Multi-Source Heterogeneous Data in Electric Distribution Network.- Deep Learning Unveiled: Investigating Retina Eye Segmentation for Glaucoma Diagnosis.- Computer Physical Education Teaching Model Based on Deep Learning.- Simulation of

Roumen Kountchev is a professor at the Technical University of Sofia. He got his PhD degree at the Institute of Telecommunications at Sankt-Petersburg, Russia and defended his dissertation for Doctor of Sciences at TU-Sofia. His scientific areas of interest are: digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. R. Kountchev has 342 papers published in magazines and conference proceedings, and also: 30 books (20 published by Springer-Verlag, Germany); 50 book chapters and 20 patents (3 US). He had been principle investigator of 38 research projects. At present he is a member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (member of IAPR). Editorial board member of: Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health, and Intern. Journal Intelligent Decision Technologies. He has been a plenary speaker in many international scientific conferences and workshops. Prof. Srikanta Patnaik is presently working as director of Interscience Institute of Management & Technology, Bhubaneswar, India. He has received his Ph. D. (Engineering) on Computational Intelligence from Jadavpur University, India in 1999. He has  supervised 32 Ph. D. Theses and more than 60 Master theses in the area of Computational Intelligence, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and more than 100 edited volumes and few invited book chapters, published by leading international publisher like IEEE, ACM, Elsevier, Springer-Verlag, Kluwer