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468 results on '"Mishra, Nitin"'

3. Application of Deep Convolutional Neural Network in Diagnosis of Skin Diseases

Author

Laxmi, Shubh, Tomar, Pradeep, Mishra, Nitin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shrivastava, Vivek, editor, and Bansal, Jagdish Chand, editor

Published
2024
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29. Groundwater Storage Analysis in Changing Land Use/Land Cover for Haridwar Districts of Upper Ganga Canal Command (1972–2011)

Author

Mishra, Nitin, Sharma, Amit Kumar, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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30. Land Vegetation Change Detection Using Remote Sensing and GIS

Author

Aarfin, Samshul, Prakash, Rishi, Mishra, Nitin, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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31. Spatio-Temporal Trend Analysis of Rainfall for Kumaon Region of Uttarakhand

Author

Negi, Pooja, Mishra, Nitin, Sharma, Amit Kumar, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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32. Investigation of Hydraulic Jump Over Rough Sloping Floor in Prismatic Rectangular Channel—An Experimental Study

Author

Kumar, Murari, Mishra, Nitin, Kumar, Sanjeev, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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33. Water Body Mapping of Chennai Region Using GIS and Remote Sensing

Author

Bhandari, Ashish, Mishra, Nitin, Gupta, K. K., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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34. Effect of Urban Land Use on Agriculture, Forest, and River Beds: A Case Study of Dehradun City, Uttarakhand, India

Author

Sawant, Kunal, Prakash, Rishi, Mishra, Nitin, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gupta, Laxmikant Madanmanohar, editor, Ray, Maya Rajnarayan, editor, and Labhasetwar, Pawan Kumar, editor

Published
2021
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37. Optimizing Inventory Management with Seasonal Demand Forecasting in a Fuzzy Environment.

Author

Namwad, Renuka S., Mishra, Nitin Kumar, Ranu, and Jain, Prerna

Subjects
MACHINE learning, FORECASTING methodology, ARTIFICIAL intelligence, DEMAND forecasting, SENSITIVITY analysis, PERCENTILES, INVENTORY control
Abstract

This study explores an inventory management model in today's business landscape, where organizations increasingly rely on Machine Learning for demand-driven stock control. The proposed model accounts for imperfect and deteriorating products within a fuzzy environment, allowing for shortages and partial backlogging. Degradation rates and faulty percentages are classified as fuzzy variables since they are unpredictable and impacted by undefined conditions. The goal is to calculate the appropriate replenishment cycle and ordering quantity while reducing the optimal overall cost, including carbon pollution costs, within a constrained planning horizon. The defuzzification technique uses the sign distance approximation technique. Leveraging Machine Learning, the study utilizes a seasonal demand forecasting methodology. A numerical illustration supports the mathematical approach by demonstrating its capacity to estimate demand for deteriorating products. This facilitates optimized inventory management aligned with forecasted demand. A comparative examination emphasizes the positive aspects of AI learning-based forecasting systems over determined demand circumstances. Sensitivity analysis provides insights into the impact of various parameters on optimal solutions, contributing valuable managerial perspectives. [ABSTRACT FROM AUTHOR]

Published
2024
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43. A Supply Chain Replenishment Inflationary Inventory Model with Trade Credit

Author

Saxena, Seema, Singh, Vikramjeet, Gupta, Rajesh Kumar, Singh, Pushpinder, Mishra, Nitin Kumar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Khanna, Ashish, editor, Gupta, Deepak, editor, Bhattacharyya, Siddhartha, editor, Snasel, Vaclav, editor, Platos, Jan, editor, and Hassanien, Aboul Ella, editor

Published
2020
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47. Re-resection of Microscopically Positive Margins Found on Intraoperative Frozen Section Analysis Does Not Result in a Survival Benefit in Patients Undergoing Surgery and Intraoperative Radiation Therapy for Locally Recurrent Rectal Cancer

Author

Ansell, James, Perry, William R.G., Mathis, Kellie L., Grass, Fabian, Yonkus, Jennifer A., Hallemeier, Christopher L., Haddock, Michael G., Graham, Rondell P., Merchea, Amit, Colibaseanu, Dorin T., Mishra, Nitin, Kelley, Scott R., Larson, David W., and Dozois, Eric J.

Published
2022
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48. Regional Disparities of Human Resource Development in the Naxal Affected District of Mirzapur, Uttar Pradesh, India.

Author

Pandey, Ankit and Mishra, Nitin Kumar

Abstract

Human resources play a very significant role in the socio-economic and regional development of any region or country. Human resource development is the process of improving people's knowledge, skills, and abilities. It represents the quality and quantity of humans who can use their skills to create more resources for mankind and remove regional imbalances. Regional imbalance is one of the major problems of the country which creates many socio-economic and political problems. The government of India has launched many socio-economic developmental programs to reduce the regional development disparities and speed up the development process but its impact could not be effective in the whole part of the country due to its physio-climatic, socio-economic, infrastructural, and political conditions. Mirzapur is one of the problematic backward districts of Uttar Pradesh that has been facing the Naxal movement for a long time due to poverty, unemployment, lack of education, awareness, and government policies. Therefore, to prevent Naxalism there is a need to increase infrastructural facilities like health, education, electricity, banking, finance, industries, etc. It is a very important factor that helps in the growth of regional development. This present paper is an attempt to analyze the spatial variation of regional development through human resource development at the block level of the Mirzapur [ABSTRACT FROM AUTHOR]

Published
2024
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49. A Replenishment Policy for an Inventory Model with Price-Sensitive Demand with Linear and Quadratic Back Order in a Finite Planning Horizon.

Author

Mishra, Nitin Kumar, Namwad, Renuka S., and Ranu

Subjects
BACK orders, INVENTORIES, HESSIAN matrices, DYNAMICAL systems, SENSITIVITY analysis, HORIZON
Abstract

In this research article, we proposed an inventory model for the replenishment policy. The focus of our research article is on the companies that frequently deal with backorders. An advanced inventory model considering back order has been proposed the results highlight the dynamic nature of the system, with optimal values achieved in different cycles. In this model, replenishment policy is given and to lower the economic ordering cost, we used new parameters such as price-sensitive demand, complete back ordering, and backorder is taken as a quadratic function as well as linear backorder with shortages in a finite planning horizon. The result is discussed for both backorders (linear and quadratic), to minimize the total cost obtained using the Hessian matrix to be positive definite. Software 'MATHEMATICA VERSION 12' has been used for the solution of the proposed model by using numerical iterative method. For different parameters, different tables are provided. The outcomes of the sensitivity analysis with the help of tables and graphs are depicted. Finally, we have discussed the conclusion and practical implications. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Emerging Strategies in Mesenchymal Stem Cell-Based Cardiovascular Therapeutics.

Author

Kumar, Rishabh, Mishra, Nitin, Tran, Talan, Kumar, Munish, Vijayaraghavalu, Sivakumar, and Gurusamy, Narasimman

Subjects
*CELL sheets (Biology), *MESENCHYMAL stem cells, *STEM cell research, *CURRENT good manufacturing practices, *EXTRACELLULAR vesicles, *THERAPEUTICS
Abstract

Cardiovascular diseases continue to challenge global health, demanding innovative therapeutic solutions. This review delves into the transformative role of mesenchymal stem cells (MSCs) in advancing cardiovascular therapeutics. Beginning with a historical perspective, we trace the development of stem cell research related to cardiovascular diseases, highlighting foundational therapeutic approaches and the evolution of cell-based treatments. Recognizing the inherent challenges of MSC-based cardiovascular therapeutics, which range from understanding the pro-reparative activity of MSCs to tailoring patient-specific treatments, we emphasize the need to refine the pro-regenerative capacity of these cells. Crucially, our focus then shifts to the strategies of the fourth generation of cell-based therapies: leveraging the secretomic prowess of MSCs, particularly the role of extracellular vesicles; integrating biocompatible scaffolds and artificial sheets to amplify MSCs' potential; adopting three-dimensional ex vivo propagation tailored to specific tissue niches; harnessing the promise of genetic modifications for targeted tissue repair; and institutionalizing good manufacturing practice protocols to ensure therapeutic safety and efficacy. We conclude with reflections on these advancements, envisaging a future landscape redefined by MSCs in cardiovascular regeneration. This review offers both a consolidation of our current understanding and a view toward imminent therapeutic horizons. [ABSTRACT FROM AUTHOR]

Published
2024
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