8th International Conference on Advances in Computing and Data Sciences (ICACDS)-2024 will be organized by LISV Laboratory, Université Paris-Saclay at Velizy, France on May 09-10, 2024. ICACDS will be a major conference organized with the objective of bringing together researchers, developers and practitioners from academia and industry working in the area of Advanced Computing. Original, previously unpublished and high quality research papers addressing research challenges and advances in Advanced Computing would be appreciated. All Selected and presented papers will be submitted for publication with Springer in Communications in Computer and Information Science.
ICACDS-2024 conference will host Keynote Lectures, Tutorials, Workshops and Oral Presentations on all aspects of Advanced Computing. The Conference is being organized specifically to help the Computer Industry derive benefits from the advances of next generation computer and computing technologies.
Researchers invited to speak, will present the latest developments and technical solutions in the areas of: Advanced Computing and Data Sciences.
ICACDS-2024 is soliciting original, previously unpublished and high quality research papers addressing research challenges and advances in the tracks mentioned below. The maximum allowable length of the paper is 14 pages (including figures and references) for regular research articles strictly in SPRINGER SINGLE COLUMN FORMAT. Articles will be Double-Blind Peer-Reviewed by three experts to decide its suitability for publication in the conference. Acceptance of papers will be communicated to authors by email.
Advanced Computing Architectures and New Programming Models;
Sequential, Parallel and Distributed Algorithms and Data Structures;
Advanced Numerical Algorithms;
Pervasive and Ubiquitous Computing Techniques;
Constraint-Based Algorithms; Web Algorithms;
Design and Analysis of Geometric Algorithms;
Computational Methods and Algorithms;
On-line and Streaming Algorithms;
Graph Algorithms and Graph Drawing;
High Performance Computing and Processing;
High Performance Data Mining Algorithms;
Machine Learning Theory;
Distributed and Parallel Algorithms for Data Science;
Big Data Representation and Visualization;
Business Intelligence, Data-Lakes, Big-Data Technologies;
High Performance Computing for Data Analytics;
Knowledge Discovery Theories, Models and Systems;
Human-Machine Interaction and Interfaces;
Crowdsourcing and Collective Intelligence;
Prospective authors are required to submit full-length papers of maximum 14 pages using Microsoft CMT conference management system formatted with Springer standard template, at the following link:
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