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ICDSA 2023 : 4th International Conference on Data Science and Applications

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Link: https://scrs.in/conference/icdsa23
 
When Jul 14, 2023 - Jul 15, 2023
Where Malaviya National Institute of Technolog
Submission Deadline May 30, 2023
Notification Due Jun 13, 2023
Final Version Due Jun 28, 2023
Categories    data science   intelligent systems   artificial intelligence   machine learning
 

Call For Papers

Malaviya National Institute of Technology Jaipur, India is going to organize the 4th International Conference on Data Science and Applications (ICDSA 2023) in technical support of the Soft Computing Research Society (SCRS) from July 14-15, 2023. The ICDSA 2023 aims to bring the 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. The after-conference proceeding of the ICDSA 2023 will be published in SCOPUS Indexed Springer Book Series, ‘Lecture Notes in Networks and Systems’. Selected papers from the program ICDSA 2023 will be invited for submission to special issues of peer-reviewed SCOPUS-indexed Journals (e.g., Springer Nature Computer Science SNCS journal). For more details, please visit the conference website: https://scrs.in/conference/icdsa23.

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, Smartphone Sensing based Application, 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 Set Theory, Fuzzy Logic based computing, Nature Inspired Optimization, Evolutionary Computation, Swarm Intelligence, Genetic Algorithms, Ant Colony Optimization, Natural language processing, 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.

Data Analytics in 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, 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 in the emerging areas of science and engineering.

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