The Conference will be held in Johannesburg, South Africa during November 19-20, 2019. The main objective of ISCMI 2019 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields.

ISCMI 2019 is organized by India International Congress on Computational Intelligence(IICCI), with association of University of Johannesburg, technically co-sponsored by the IEEE SMC Society and supported by the IEEE SMC Society TC on Machine Learning.

Topics of interest for submission include, but are not limited to:

Advanced Intelligent Systems

Ant Colony Optimization and Swarm Intelligence

Artificial Immune Systems

Artificial Intelligence

Artificial Life

Associative Memory

Automatic Annotation

Bioinformatics and Biological Computing

Case-Based and Temporal Reasoning

Cognitive Science

Computational Intelligence

Computational Intelligence in Bioinformatics and Computational Biology

Computer Vision Systems

Connectionism

Data Fusion

Data Mining and Data Fusion

Data Mining and Knowledge Discovery

Decision Support Systems

Distributed Artificial Intelligence

DNA Computing

Emotional Intelligence

Evaluation and Refinement of Intelligent Systems

Evolutionary Computation

Evolutionary Optimization

Evolutionary Strategies

Feature Extraction

Firefly Algorithm

Fuzziness in Chaotic Systems

Fuzziness in Multi-Agent Systems

Fuzzy Aggregation Techniques

Fuzzy Control

Fuzzy Decision Making

Fuzzy Inference

Fuzzy Logic and Systems

Fuzzy Mathematics

Fuzzy Optimisation

Fuzzy Reconfigurable Systems

Fuzzy Systems and Hardware

Genetic AlgorithmsHuman-machine Interaction

Intelligent Classification

Intelligent Control

Intelligent Distributed Sensor Networks

Intelligent Hybrid Systems

Intelligent Image Processing

Intelligent Information Retrieval

Intelligent Information Systems

Intelligent Measurement

Intelligent Signal Processing

Intelligent Systems

Intelligent Tutoring Systems

Interval Computation

Knowledge Discovery

Knowledge Representation

Learning and Memory

Logical and Probabilistic Inference

Machine Learning

Mechatronics

Modeling the Real World through Contexts

Multi-Agent Systems

Multimedia Mining

Natural Language Processing

Neural Networks

Neuro-fuzzy Systems

Ontology-based Intelligent Systems

Particle Swarm Optimization

Pattern Recognition

Probabilistic Reasoning

Reinforcement Learning

Robotic Technologies

Rough Sets

Spatio-Temporal Reasoning

Statistical and Structural Pattern Recognition

Support Vector Machines

Swarm Intelligence

Syntactic and Semantic Processing

Uncertain Reasoning

Web Mining