About

1st International Conference on Soft Computing in Data Analytics

                    International Conference on Soft Computing in Data Analytics (SCDA) will provide common platform for presentation of original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different aspects and fields of Soft and Advance Computing. The conference aims at bringing together the researchers, scientists, engineers, industrial professionals and scholar students in their domain of interest. Also, it concentrates on both theory and practices from around the world in all the areas of related disciplines of Soft Computing. This conference aims to provide rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms etc. It promotes novel and high quality research findings, innovative solutions to challenging Engineering problems; the conference seeks to continuously advance the state-of-the-art in recent developments as well as the other promising areas of advance computing. Original and unpublished research papers from all disciplines including theory, practice, experimentation, and review work highlighting specific research domains for presentation in the technical sessions of the conference will be invited from researchers, academicians and professionals throughout the globe.

Call For Paper


Original High quality papers in all the following topic of interest (but are not limited) are solicited. The papers exploring new directions will receive especially careful and supportive reviews.

Track-1: Innovations and Algorithms:

  Genetic Algorithms   Fuzzy Logic, Bayesian methods
  Evolutionary Strategies   Neural Networks
  Hybrid and Distributed Algorithms   Multi-Agent Systems
  Probabilistic Metaheuristic   Artificial Life, Self-organization
  Swarm Intelligence   Mathematical Optimization
  Artificial Immune Systems   Uncertainty analysis
  HPC and Computational Intelligence   Support vector machines
  Chemical Evolution   Machine learning
    Ambient intelligence

Track-2: Applications of Soft Computing:

 Cryptography  Biometry
 Information retrieval  Remote sensing & GIS
 Data Mining  Robotics and Automation
 Web Mining  Medical Informatics
 Image Processing  E-commerce
 Computer Vision  Signal Processing
 Bio-informatics  Power Control
 Information security  Control systems & Automation
 Network security  Motion Planning
 Steganography  Decision-making
 Computational Fluid Dynamics  Business Analytics
 Transportation Engineering  Process Industry
 Automation in manufacturing  Safety Management

 

Track-3: Advance Computing:

 Chaos, Complexity, Fractals  Immunological Computing
 Morphic Computing  Nature inspired computing techniques
 Rough Sets Analysis  Artificial Life, Self-organization
 Hybrid Computing  Deep Learning
 Higher Order Neural Computing  Stochastic Optimization