2nd International Conference on Computer Science and Machine Learning (CSML 2024)

Scope & Topics Call for Participation Program Schedule

2^nd International Conference on Computer Science and Machine Learning (CSML 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing and Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to this conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Topics of interest include, but are not limited to, the following:

Artificial Intelligence
Bayesian Network
Big Data
Bioinformatics
Computer Architecture and Real time Systems
Computer Vision
Database and Data Mining
Deep Learning
Dependable, reliable and autonomic computing
Distributed and parallel systems & algorithms
Embedded system and software
Internet of Things (IoT)
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Machine Learning Algorithms
Modelling and Simulation
Natural Language Processing (NLP)
Networking and Communications
Neural Networks
Parallel and Distributed Systems
Predictive Learning
Reinforcement Learning
Security , Cryptography , Blockchain
Signal /Image Processing/Multimedia
Software Engineering
Supervised Machine Learning
Unsupervised Machine Learning
Web and internet computing

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed .

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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