International Conference on Intelligent Computing
Chaitanya Bharathi Institute of Technology (A), Hyderabad, September 8th & 9th, 2023
Tracks and Themes
Prospective authors are requested to submit high quality original and unpublished full research papers in the following areas for real world applications for presentation during the conference. Any theoretical, empirical, or experimental work on optimization models and related mathematics, solution methods, and systems is encouraged.
Topics of interest for submission include, but are not limited to:
Intelligent Computing Theories, Concepts & Algorithms
- Artificial Neural Networks Association Rule Mining
- Bio-inspired algorithms
- Clustering
- Computer Vision
- Data Fusion
- Data Mining and Machine Learning
- Data Pre-Processing and Noise Intelligence
- Data Visualization
- Decision Trees
- Deep Learning Algorithms
- Genetic Algorithms
- Information Retrieval
- Intelligent Algorithms of Large Spatial Data
- Machine Learning
- Nature Inspired Algorithms
- Novel Feature Selection Algorithms
- Reinforcement Learning
- Statistical Learning Algorithms
- Support Vector Machine
- Text Mining
Intelligent Data Analytics
- Autonomic and Trusted Computing
- Big Data Analytics
- Bioinformatics
- Biomedical Computing
- Cognition Computing
- Computational Intelligence
- Data Optimization
- Edge Computing
- Evolutionary Computing
- Expert Systems
- Fog Computing
- Fuzzy Logic and Soft Computing
- Genetic Algorithms
- Graph and Social Mining
- Green Computing
- High Performance Computing
- Quantum Computing
- Reconfigurable Computing
- Signal and Image Processing
- Ubiquitous Computing
- Web Intelligence and Computing
Computational Systems Biology and Medical Informatics
- Gene Expression Array Analysis
- Gene Regulation Modeling and Analysis
- Protein-Protein Interaction Prediction
- Protein Structure and Function Prediction
- Next-Gen Sequencing and Meta-genomics
- Structure Prediction and Folding
- Molecular Sequence Alignment and Analysis
- Analysis and Visualization of Large Biological Data Sets
- Biomarker Discovery and Detection
- Molecular Evolution and Phylogenetics
- Modeling, Simulation, and Optimization of Biological Systems
- Biomedical Data Modeling and Mining
- Neuroinformatics
- Cheminformatics
- Intelligent Computing in Computational Biology
- Intelligent Computing in Drug Design
- Computational Genomics
- Computational Proteomics