Call for Papers I 征稿主题

WSAI 2025 will provide an insight into the unique world stemming from the interactions among various fields of Artificial Intelligence  and Computer Systems.
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    Topics of interest include, but are not limited to

    Track 1. Robotics & Intelligent Systems

    - Science and Engineering & Control
    - Artificial Neural Networks in robotics or automation
    - Adaptive systems
    - Embedded Systems
    - Fault Diagnosis
    - Human - Machine Interfaces
    - Virtual Reality
    - Multi - Agent Collaborative Systems (MACS)
    - Space and Underwater Robotics
    - Simulation and Modeling of Robotic Systems
    - Data Mining and Machine Learning
    - Natural Language Processing
    - Fuzzy Logic and Soft Computing
    - Expert Systems
    - Decision Support Systems
    - Software Tools for AI

     

    Track 2. Bioinformatics

    - Bio - robotics and Bio - mechatronics
    - Genetic Algorithms
    - Data Mining in Pattern Recognition
    - DNA Computing for Autonomous Agents
    - Biometrics Security
    - Artificial Intelligence in Bio - systems
    - Computer Assisted Intervention Systems
    - BioMedical Signal/Image Analysis
    - Intelligent Methods for Analysis of Microarrays

         

    Track 3. Machine Learning & Deep Learning

    - Unsupervised Learning
    - Supervised Learning
    - Reinforcement Learning
    - Deep Neural Network Architectures
    - Model Compression and Optimization
    - Explainable AI in Machine Learning and Deep Learning
    - Transfer Learning
    - Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)

     

    Track 4. Natural Language Processing & Generative AI

    - Text Classification
    - Named Entity Recognition (NER)
    - Machine Translation
    - Question - Answering Systems
    - Text Summarization
    - Language Model Pretraining and Fine - Tuning
    - Generative Text Generation
    - Multimodal Natural Language Processing
    - Ethical and Social Implications of Generative AI in NLP

         

    Track 5. AI for Computer Systems & Edge Computing

    - AI - Driven Resource Allocation in Computer Systems
    - Edge AI Model Deployment and Optimization
    - Edge Computing for Real - Time AI Applications
    - AI - Enhanced Network Management in Edge Computing
    - Federated Learning in Edge Computing
    - Security and Privacy in AI - Enabled Edge Computing
    - Edge Computing for Internet of Things (IoT) with AI
    - Energy - Efficient AI in Edge Computing

     

    Track 6. AI for Finance & Autonomous Systems

    - Algorithmic Trading and Investment Strategies
    - Credit Risk Assessment with AI
    - Insurance Underwriting and Risk Management with AI
    - Autonomous Vehicles and AI - Driven Transportation
    - Unmanned Aerial Vehicles (UAVs) and AI - Enabled Drone Operations
    - Autonomous Marine Systems and AI
    - Regulatory and Ethical Challenges of AI in Finance and Autonomous Systems
    - AI - Based Monitoring and Control in Autonomous Industrial Systems