About Event:

6th International Conference on Data Science and Applications ICDSA 2025 Organized in In-person and Online Hybrid Mode by Malaviya National Institute of Technology Jaipur, India Technically Sponsored by Soft Computing Research Society July 16-18, 2025 Malaviya National Institute of Technology Jaipur, India is going to organize the 6th International Conference on Data Science and Applications ICDSA 2025 in technical support of the Soft Computing Research Society SCRS from July 16-18, 2025. The ICDSA 2025 aims to bring researchers, academicians, industry, and government personnel together to share and discuss the various aspects of Data Science and Applications. 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. Submissions: Full-length paper: Accepted papers will be published in the SCOPUS Indexed Springer Book Series, ‘Lecture Notes in Networks and Systems'. Short Paper < 6 Pages: Authors will be given the chance to present during the conference. The Short papers will be published in the SBS proceedings a publication of Soft Computing Research Society indexed in Google Scholar. Abstract Only: Authors will be given the chance to present during the conference. A book of abstracts will be published in the e-version of souvinor of the conference. Poster Presentation: Authors will be given the chance to present during the conference. Please bring one printed poster in A-3 size. The poster will be published in the e-version of souvinor of the conference. Call for Paper: The topics covered but are not limited to in the conference are as follows: Data Science: Pattern recognition, Non-linear Statistical Models, Data handling and Visualization, Time series forecasting, Optimization Techniques, Data Mining Techniques, Big Data applications, Computer Vision, Natural Language Processing, Human and Social Behaviour Analysis, Robotics and Embedded Systems, Applied mathematics and informatics, Predictive analytics and Segmentation, Data compression, Data clustering, Classification, Blockchain Technology. Models and Algorithms: Data Fusion Models, Cognitive computing, Probabilistic Reasoning, Supervised and Unsupervised Learning, Reinforcement Learning, Neural Networks, Self-Organizing Maps, Support Vector Machine, Machine Learning techniques, Deep Neural Networks, Fuzzy Logic based computing, Nature Inspired Optimization, Evolutionary Computation, Swarm Intelligence, Genetic Algorithms, Ant Colony Optimization, Multi and Many-objective Optimization. Signal & Image Processing: Digital Signal Processing, Adaptive Signal Processing, Multi-rate signal Processing, Audio and speech signal Processing, Wavelet transform, S Transform, Image Processing techniques, Image segmentation, Detection and Estimation algorithms, Remote Sensing Image Analysis, Biomedical Signal and Image analysis, Radar and Sonar Signal Processing, Seismic Signal processing, VLSI architectures for Signal Processing, Natural language processing. Data Analytics in 4G, 5G and 6G Communication: Data handling in Digital Communication, Data acquisition and processing in Wireless and Mobile Communication, Data in Optical Communication, Data in Satellite Communication, Data in Underwater Communication, Data in Software Defined Radio and Cognitive Radio, Data in 4G and 5G Architectures and applications, 6G and beyond data, Data analysis in Antenna and Wave Propagation, Data in Wireless Sensor Networks. Data Science Applications: Data Granularity, Large Scale Optimization, Digital marketing and analysis, Bioinformatics, Power system analysis, Intelligent System Design, Expert Systems, Internet of vehicles, Electric Vehicles, Robotics and automation, Internet of everything, Data curation, Data privacy, Data Security, Industrial applications, Industry 4.0, Computational Finance, Agriculture and environment, Seismicity Analysis, and other applications.