Padmesh Tripathi

Padmesh TripathiPadmesh Tripathi is working as an Associate Professor of Mathematics at IIMT College of Engineering, Greater Noida, UP. He received his Ph.D. degree from Sharda University, Greater Noida (India). He completed his Master’s and Bachelor’s degrees from University of Allahabad, Prayagraj. He has been teaching since last 20 years. He has published many research papers in reputed journals. He has been granted funds from prestigious organizations like: Cambridge University, UK; University of California, USA; University of Eastern Finland, Finland; INRIA, Sophia Antipolis, France, etc. and he visited these organizations. He has been member of Society of Industrial and Applied Mathematics (SIAM), Philadelphia, USA (2011-19). He is life member of Science and Engineering Institute (SCIEI), Los Angeles, USA; Indian Society of Industrial and Applied Mathematics (ISIAM), India; Ramanujan Mathematical Society, India; International Association of Engineers, UK. He is member of EURO working group on continuous optimization (EUROPT), Italy; Society for Foundations of Computational Mathematics, USA. His research interests are inverse problems, signal processing, optimization, data science, etc.

Publications

Applications of Deep Learning in Healthcare in the Framework of Industry 5.0
Applications of Deep Learning in Healthcare in the Framework of Industry 5.0
Padmesh Tripathi, Nitendra Kumar, Krishna Kumar Paroha, Mritunjay Rai, Manoj Kumar Panda. © 2024. 17 pages.
Emergence of deep learning (DL) and its applicability motivated researchers and scientists to explore its applications in their fields of expertise. In medical technology, a huge...
Machine Learning for Smart Health Services in the Framework of Industry 5.0
Machine Learning for Smart Health Services in the Framework of Industry 5.0
Nitendra Kumar, Padmesh Tripathi, R. Pavitra Nanda, Sadhana Tiwari, Samarth Sharma. © 2024. 16 pages.
This chapter examines the transformative potential of machine learning in shaping smart health services within the framework of Industry 5.0. Through a comprehensive exploration...
Future Directions in the Application of Machine Learning and Intelligent Optimization in Business Analytics
Future Directions in the Application of Machine Learning and Intelligent Optimization in Business Analytics
Reeta Mishra, Padmesh Tripathi, Nitendra Kumar. © 2024. 28 pages.
This study envisions the future trajectory of intelligent optimization and machine learning (ML) in the realm of business analytics, introducing novel perspectives. It...
AI-Driven Financial Forecasting: The Power of Soft Computing
AI-Driven Financial Forecasting: The Power of Soft Computing
Nitendra Kumar, Priyanka Agarwal, Gauri Gupta, Sadhana Tiwari, Padmesh Tripathi. © 2024. 25 pages.
In today's dynamic and complex financial landscape, accurate and reliable financial forecasting is crucial for businesses to make informed decisions, manage risks, and...
Advancement in Agricultural Techniques With the Introduction of Artificial Intelligence and Image Processing
Advancement in Agricultural Techniques With the Introduction of Artificial Intelligence and Image Processing
Mritunjay Rai, Nalini Tyagi, Padmesh Tripathi, Nitendra Kumar, Priti Kumari. © 2023. 22 pages.
Food is the most fundamental requirement of human beings, and the only way this requirement can be satisfied is through agricultural production. The agricultural sector not only...
Applications of Machine Learning in Agriculture
Applications of Machine Learning in Agriculture
Padmesh Tripathi, Nitendra Kumar, Mritunjay Rai, Pushpendra Kumar Shukla, Kailash Nath Verma. © 2023. 20 pages.
Today's epoch christened as the modern epoch, is the epoch of information and technologies. No field is untouched with the emergence of technologies. In different segments of...
Applications of Deep Learning in Agriculture
Applications of Deep Learning in Agriculture
Padmesh Tripathi, Nitendra Kumar, Mritunjay Rai, Ayoub Khan. © 2022. 12 pages.
Today's era is the era of technologies. Technologies have widely been employed in each and every field. The field of agriculture is not untouched with the technologies, and...
Methods for the Recognition of Human Emotions Based on Physiological Response: Facial Expressions
Methods for the Recognition of Human Emotions Based on Physiological Response: Facial Expressions
Nalini Tyagi, Mritunjay Rai, Probeer Sahw, Padmesh Tripathi, Nitendra Kumar. © 2022. 20 pages.
Human emotions like neutral, sad, happy, and others reveal the state of the mind of a person. This information is useful and thus finds its technical, interpersonal, and societal...