Recent Advancement in Mathematics of Soft Computing Strategies and Applications

Dear Colleagues,

Recently, there have been tremendous technological innovations, especially in the availability of varied types of large data sets, data handing and analytics of various application domains, such as social, medical imaging, disease, life style, industrial, etc.,  where complex pattern finding, classification, optimization and  mathematical model development are the most significant and challenging tasks.

The advancement in the mathematical disciplines, i.e., statistics, probability, calculus, discrete mathematics and systems theories, etc., facilitate to address the problem of effective data analytics of complex datasets with significant inferences, which consequently leading to novel possibilities for futurist real-time problem analytics.

In order to disseminate the updated knowledge in this field, we invite articles in the form of original research articles, reviews, or case studies primarily focused on advancement in mathematical model. Computational framework, classification methods such as deep learning machine learning, etc., play an important role for data handing with current challenges.

Well defined research work with scientific innovation, novelty and suitably referenced articles are encouraged and welcomed.

Relevant topics include, but are not limited to, the following:

• Discrete mathematical structures and application;
• Advances in algebra;
• Deep learning machine learning and application;
• Statistics and probability;
• Big data analytics;
• Multivariate optimization;
• Matrix computation;
• Health informatics;
• Medical imaging;
• Emerging topics in applied mathematics.

Prof. Dr. Kalpdrum Passi
Dr. A Arun Kumar
Guest Editors

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