Nitendra Kumar

Nitendra Kumar received a PhD (Mathematics) from Sharda University, Greater Noida, India and a Master of Science (Mathematics and Statistics) from Dr Ram Manohar Lohia Avadh University, Faizabad, India. Currently, he is working as an Assistant Professor at Amity Business School, Amity University, Noida with interests in Wavelets and its Variants, Data Mining, Inverse Problems, Epidemic Modeling, Fractional Derivatives Business Analytics, and Statistical Methods. He has more than 10 years of experience in his research areas. Dr Kumar has published many research papers in reputed journals and also published 6 books on engineering mathematics. He contributes to the research community by undertaking various volunteer activities in the capacity of editor for two edited books and guest Editor of reputed journals.

Publications

Intelligent Optimization Techniques for Business Analytics
Intelligent Optimization Techniques for Business Analytics
Sanjeev Bansal, Nitendra Kumar, Priyanka Agarwal. © 2024. 357 pages.
Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing...
Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions
Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions
Nitendra Kumar, Surya Kant Pal, Priyanka Agarwal, Joanna Rosak-Szyrocka, Vishal Jain. © 2024. 360 pages.
Industry 5.0 is poised to redefine the collaboration between humans and machines, marking a crucial moment in technological evolution. However, as we stand at the threshold of...
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...
Evaluation of Machine Learning Techniques for Crop Yield Prediction
Evaluation of Machine Learning Techniques for Crop Yield Prediction
Divya Goel, Payal Gulati, Suman Kumar Jha, Dr Nitendra Kumar, Ayoub Khan, Priti Kumari. © 2022. 17 pages.
The agricultural segment is a major supporter of the Indian economy as it represents 18% of India's GDP, and it gives work to half of the nation's work power. The farming...
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...