International Conference on Computer Application and Information Technology 2023

Memo

ICANN 2023 is an opportunity for academics, students, scholars, scientists and engineers from around the world who are involved in the study, management, development and implementation of systems and concepts to combat information warfare or to improve Artificial Neural Networks to come together and exchange ideas. This conference is trying to establish itself as a key event for the understanding of threats and risks to information systems, the development of a strong security culture, and incident investigation. Please consider submitting to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations. Prospective authors are invited to submit original technical papers by the deadline for publication in the ICANN 2023 Conference Proceedings and for presentation(s) in the symposia listed below. Deadlines will be strictly matched and late papers will be summarily rejected. The conference welcomes papers on the following (but not limited to) research topics.   Tracks of the Conference Artificial Neural Networks Techniques Learning theory Evolutionary Architectures Support vectors machines Unsupervised Learning Reinforcement Learning Adaptive Architecture Fuzzy logic and systems Hybrid System Hardware Development Low-cost Architectures Artificial Neural Networks Research Areas Computer Vision Pattern Recognition Colour, Motion Analysis Signal Processing Fusion Telecommunications Robotics Intelligent Transportation Systems Financial Forecasting Time Series Analysis Data Mining Adaptive Control Modelling and identification Prediction Process Monitoring and Diagnosis Intelligent Agents Multi Agent Systems Real Time Intelligent Systems Bioinformatics Fuzzy logic and systems Support vectors machines Humanistic Data Mining Optimization Genetic Algorithms and Optimization Feature Minimization Filters Clustering - Fuzzy Clustering Artificial Neural Networks Engineering Applications Civil Engineering Applications Biomedical Engineering Applications Decision Making Applications Manufacturing Engineering Applications Computer science Thermal Engineering Financial Engineering General Engineering Applications Environmental Engineering Risk Modelling Social Media Applications Chaos