Prospective authors are encouraged to submit their original, unpublished research paper (which is not under review in any other conference/ Journal) of the given tracks in the format specified in the Springer Paper Template through the easy chair for publication in the ICMLA 2025. Submissions must be plagiarisms free and submission must be following the Policy on Double Submission. Papers for presentations should conform to the Springer format and specifications. All submissions must be in English only. The Springer paper template can be downloaded from the link given below Springer Format.
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0International Conference on Machine Learning Algorithms (ICMLA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and Algorithms of on Machine Learning & 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 the 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.
| Artificial Intelligence | Machine Learning in Financial Analysis |
| Computer Vision and Pattern Recognition | Machine Learning in Predictive Analytics |
| Data Mining and Machine Learning Tools | Deep Learning Applications to solve real world problem |
| Electronics and Signal processing for IoT | Experimental Results and Deployment Scenarios |
| Intelligent System Architecture | Machine Learning in Human Resource Management |
| Machine Learning in Healthcare | Machine Learning in Cyber Security |
| IoT Big Data | Machine Learning in Image Analysis |
| Machine Learning in Data Analysis | Machine Learning in NLP |
| Machine Learning and Smart City | Machine Learning and Analytics |
| Machine Learning and Smart Farming | Machine Learning Algorithms |
| Neural Networks | Predictive Learning |
| Recent Trends and Developments of AI & IoT | Reinforcement Learning |
| Robotics,loT and Embedded System | Security and Privacy for IoT |
| Supervised Machine Learning | Unsupervised Machine Learning |
Chitkara University
Solan, Himachal Pradesh
icmla@chitkarauniversity.edu.in
Dr. Abhishek (9878388084)
Dr. Praveen Kantha (9991530642)
Dr. Pradeepta Sarangi (8178974391)