ICACME will provide a platform for researchers and practitioners to interact with one another and discuss state-of-the-art developments in the field. The topics of the conference will cover all aspects of research and application in intelligent computing, including but not limited to:
⚈ Vibration and acoustics
⚈Composite materials
⚈Finite Element Analysis
⚈Advanced Materials
⚈Thermal and Renewable Energy
⚈Hybrid Vehicles
⚈Conventional and Unconventional Manufacturing
⚈Additive manufacturing
⚈Artificial Intelligence and Machine Learning
⚈Prediction and optimization techniques
⚈Material Characterization
⚈Nano Technology
⚈Conditioning Monitoring
⚈Robotics and Automation
⚈Pattern Recognition
⚈ Predictive Analytics Applications in Healthcare, ⚈Finance, Climate change and Business
⚈ Resource Management and Scheduling
⚈ Sensor Networks and Social Sensing
⚈ Smart Environments and Applications in IOT
⚈ Statistical Analysis of Search Techniques
⚈ Swarm Intelligence & Swarm Robotics
⚈ Ubiquitous Intelligence and Computing
⚈ Web Intelligence and Computing
⚈ Wireless Networks
⚈ Wireless Protocols and Architectures
⚈Big Data
⚈ Bio-inspired Techniques
⚈ Cloud Computing
⚈ Computational Intelligence, Applications in
⚈Big Data
⚈Bio-inspired Techniques
⚈Cloud Computing
⚈Computational Intelligence
⚈ Data Intensive Computing Architecture
⚈ Data Mining and Knowledge Discovery
⚈ Evolutionary Computing
⚈ Fuzzy Computing
⚈ Green Computing
⚈ Human-Computer Interaction
⚈ Information Retrieval
⚈ Intelligent Control
⚈ Intelligent E-learning Systems
⚈ Intelligent Video & Image Processing
⚈ Internet Security
⚈ Knowledge Management and Networks
⚈ Machine Learning
⚈ Mobile Computing
⚈ Multi-agent Systems
⚈ Natural Language Processing
⚈ Neural Computing
Submitted papers should neither be previously published nor under consideration for publication elsewhere.
All papers will be refereed through a peer review process.
All accepted papers will be published in AIP Conference Proceedings Indexed in leading databases — Web of Science, Scopus, Inspec, Chemical Abstracts Service (CAS), and Astrophysics Data System (ADS)
