Call for Papers

The International Conference on Computational Intelligence (ICCI) 2020, with an aim of exploring the power of computational intelligence, is an International Conference in the field of computationally intelligent systems. The ICCI 2020 aims to bring the researchers, academicians, industry and government personnel together to share and discuss on the various aspects of Computational Intelligence. The conference will witness multiple eminent keynote speakers from academia and industry from all over the world along with the presentation of accepted peer-reviewed articles. Authors are invited to submit full-length paper and have to present the final unpublished research and review articles during the conference. The accepted and presented papers will be considered for the publication. The papers will be blind reviewed and only the accepted papers will be considered for the publication in the proceedings. The topics covered (but are not limited to) in the conference are as follows:

1. Algorithms: Artificial intelligence, Game theory, Neural Network, Supervised and unsupervised learning, Deep learning techniques, Convolutional Neural network, Fuzzy theory and systems, Rough Sets, Self-Organizing Maps, Machine Learning, Chaotic Systems, Multi-Agent Systems, Computational Optimization Ensemble classifiers, Reinforcement learning, Decision trees, Support vector machines, Hybrid Learning, Statistical learning. Metaheuristics algorithms: Evolutionary and swarm-based algorithms like Genetic algorithms, Genetic programming, Differential evolution, Particle swarm optimisation, whale optimization, Spider monkey optimisation, Firefly Algorithm, Memetic Algorithms.

2. Applications: Machine vision, Internet of things, Image processing, Image segmentation, Data Clustering, Sentiment analysis, Big data, Computer networks, Signal processing, Supply chain management, Web and text mining, Distributed Systems, Bioinformatics, Embedded Systems, Expert System, Forecasting, Pattern Recognition, Planning and Scheduling, Time Series Analysis, Human computer interaction, Web mining,  Natural language processing, multimedia systems, quantum computing