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Institution

National Institute of Technology, Patna

EducationPatna, India
About: National Institute of Technology, Patna is a education organization based out in Patna, India. It is known for research contribution in the topics: Wireless sensor network & Dielectric. The organization has 982 authors who have published 2226 publications receiving 13629 citations. The organization is also known as: NIT Patna & Bihar School of Engineering and Bihar College of Engineering.


Papers
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Journal ArticleDOI
TL;DR: The basic features of the cloud computing, security issues, threats and their solutions are discussed, and several key topics related to the cloud, namely cloud architecture framework, service and deployment model, cloud technologies, cloud security concepts, threats, and attacks are described.

318 citations

Journal ArticleDOI
TL;DR: This paper surveys the variants of LEACH routing protocols proposed so far and discusses the enhancement and working of them, and makes suggestions on future research domains in the area of WSN.
Abstract: Even after 16 years of existence, low energy adaptive clustering hierarchy (LEACH) protocol is still gaining the attention of the research community working in the area of wireless sensor network (WSN). This itself shows the importance of this protocol. Researchers have come up with various and diverse modifications of the LEACH protocol. Successors of LEACH protocol are now available from single hop to multi-hop scenarios. Extensive work has already been done related to LEACH and it is a good idea for a new research in the field of WSN to go through LEACH and its variants over the years. This paper surveys the variants of LEACH routing protocols proposed so far and discusses the enhancement and working of them. This survey classifies all the protocols in two sections, namely, single hop communication and multi-hop communication based on data transmission from the cluster head to the base station. A comparitive analysis using nine different parameters, such as energy efficiency, overhead, scalability complexity, and so on, has been provided in a chronological fashion. The article also discusses the strong and the weak points of each and every variants of LEACH. Finally the paper concludes with suggestions on future research domains in the area of WSN.

302 citations

Journal ArticleDOI
TL;DR: This research has developed models based on machine learning that can predict the helpfulness of the consumer reviews using several textual features such as polarity, subjectivity, entropy, and reading ease to help buyers to write better reviews and thereby assist other buyers in making their purchase decisions.

278 citations

Journal ArticleDOI
TL;DR: This paper surveys QE techniques in IR from 1960 to 2017 with respect to core techniques, data sources used, weighting and ranking methodologies, user participation and applications – bringing out similarities and differences.
Abstract: With the ever increasing size of the web, relevant information extraction on the Internet with a query formed by a few keywords has become a big challenge. Query Expansion (QE) plays a crucial role in improving searches on the Internet. Here, the user’s initial query is reformulated by adding additional meaningful terms with similar significance. QE – as part of information retrieval (IR) – has long attracted researchers’ attention. It has become very influential in the field of personalized social document, question answering, cross-language IR, information filtering and multimedia IR. Research in QE has gained further prominence because of IR dedicated conferences such as TREC (Text Information Retrieval Conference) and CLEF (Conference and Labs of the Evaluation Forum). This paper surveys QE techniques in IR from 1960 to 2017 with respect to core techniques, data sources used, weighting and ranking methodologies, user participation and applications – bringing out similarities and differences.

219 citations

Journal ArticleDOI
TL;DR: In this paper, the applicability of ANN approach by developing effective and reliable nonlinear predictive models for weather analysis also compare and evaluate the performance of the developed models using different transfer functions, hidden layers and neurons to forecast maximum, temperature for 365 days of the year.

193 citations


Authors

Showing all 1045 results

NameH-indexPapersCitations
Munindar P. Singh6258020279
Amit Singh5764013795
Ajay Kumar5380912181
Anil Kumar44141111378
Yasuhiro Takeuchi411785737
Pijush Samui312363230
Mrinal Kanti Mandal312223143
Sunil Kumar Singh301323733
Om Prakash284083568
Ashish Kumar Bhandari23692012
Ishwar Chandra Yadav22531334
Jyoti Prakash Singh201331732
Abhishek Singh191071354
Manju Khari191111007
Jawar Singh191091423
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202343
202286
2021658
2020493
2019312
2018245