Institution
Motilal Nehru National Institute of Technology Allahabad
Education•Allahabad, Uttar Pradesh, India•
About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors suggest that a major reason for the failure of many knowledge management projects is the absence of a well-defined strategic plan to guide implementation and propose a framework that can be used specifically by engineering firms to guide the KM implementation process.
Abstract: Knowledge management (KM) is the process of leveraging organizational knowledge to deliver long‐term advantage to a business and is based on a business strategy that involves engineering various knowledge‐centric business processes and developing organization structures to support these. These, in turn, require technology to capture, codify, store, disseminate and reuse the knowledge. Successful deployment of KM is not a simple process. This paper suggests that a major reason for the failure of many KM projects is the absence of a well‐defined strategic plan to guide implementation. This paper discusses the strategic planning needs of the KM deployment process, and develops a framework that could be used specifically by engineering firms to guide the KM implementation process.
60 citations
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TL;DR: Together, discovery and validation of new CRC patient stratification methods, screening for novel therapeutic targets, and enhanced diagnosis of CRC may improve the treatment outcome.
Abstract: Molecular subtypes-based therapies offer new potential framework for desired and precise outcome in clinical settings. Current treatment strategies in colorectal cancer are largely 'one drug fit all' model for patients that display same pathological conditions. However, CRC is a very heterogenous set of malignancy that does not support for above criteria. Each subtype displays different pathological and genetic signatures. Based on these features, therapeutic stratification for individual patients may be designed, which may ultimately lead to improved therapeutic outcomes. In this comprehensive review, we have attempted to briefly outline major CRC pathways. A detailed overview of molecular subtypes and their clinical significance has been discussed. Present and future methods, governing CRC subtyping in the era of personalized therapy with a special emphasis on CMS subtypes of CRC has been reviewed. Together, discovery and validation of new CRC patient stratification methods, screening for novel therapeutic targets, and enhanced diagnosis of CRC may improve the treatment outcome.
60 citations
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TL;DR: In this paper, the reduced-order models of higher-order power systems using model-order reduction techniques were derived using fractional-order proportional-integral-derivative (FOPI-D) models.
Abstract: An effort has been given to derive the reduced-order models (ROMs) of higher-order power systems using model-order reduction techniques. Fractional-order proportional-integral-derivative (FOPI-D) c...
60 citations
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TL;DR: In this paper, a coupled methodology comprising of Finite Element Method (FEM) and Artificial Neural Network (ANN) has been used to develop a prediction model for the Laser Beam Percussion Drilling (LBPD) process.
60 citations
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TL;DR: Results indicated that SAAP would be more economic for bioethanol production.
60 citations
Authors
Showing all 2547 results
Name | H-index | Papers | Citations |
---|---|---|---|
Santosh Kumar | 80 | 1196 | 29391 |
Anoop Misra | 70 | 385 | 17301 |
Naresh Kumar | 66 | 1106 | 20786 |
Munindar P. Singh | 62 | 580 | 20279 |
Arvind Agarwal | 58 | 325 | 12365 |
Mahendra Kumar | 54 | 216 | 9170 |
Jay Singh | 51 | 301 | 8655 |
Lalit Kumar | 47 | 381 | 11014 |
O.N. Srivastava | 47 | 548 | 10308 |
Avinash C. Pandey | 45 | 301 | 7576 |
Sunil Gupta | 43 | 518 | 8827 |
Rakesh Mishra | 41 | 545 | 7385 |
Durgesh Kumar Tripathi | 37 | 133 | 5937 |
Vandana Singh | 35 | 190 | 4347 |
Prashant K. Sharma | 34 | 174 | 3662 |