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Institution

Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Steganography & Support vector machine. The organization has 581 authors who have published 1045 publications receiving 8345 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a low-cost adsorbent has been prepared by carbonizing citrus fruit peel using o-phosphoric acid as an activating agent and investigation has been made to explore the possibility of this adsorent for liquid phase adsorptive removal of methylene blue (MB), selected as a model dye.

145 citations

Journal ArticleDOI
TL;DR: In this article, the current state-of-the-art utilization of solid wastes and wastewaters of several food and beverage processing industries in photofermentative H2 production systems is reviewed.

111 citations

Journal ArticleDOI
TL;DR: A voltammetric electronic tongue instrument is described, which can declare tea-taster-like scores for black tea, and the efficacy of the classifier has been established using tenfold cross-validation methods.
Abstract: Tea quality assessment is a difficult task because of the presence of innumerable compounds and their diverse contribution to tea quality. As a result, instrumental evaluation of tea quality is not practiced in the industry, and tea samples are assessed by experienced tea tasters. There had been a very few reports where an electronic tongue has been used for the discrimination of taste of tea samples. In this paper, a voltammetric electronic tongue instrument is described, which can declare tea-taster-like scores for black tea. The electronic tongue is based on the principle of pulse voltammetry and consists of an array of five working electrodes along with a counter and a reference electrode. The five working electrodes are of gold, iridium, palladium, platinum, and rhodium. The voltage equivalent of the output current from between the working electrode and the counterelectrode generated out of the tea liquor when excited with pulse voltage between the working electrode and the reference electrode has been considered for data analysis. First, the sampled data have been compressed using discrete wavelet transform (DWT) and are then processed using principal component analysis (PCA) and linear discriminant analysis (LDA) for visualization of underlying clusters. Finally, different pattern recognition models based on neural networks are investigated to carry out a correlation study with the tea tasters' score of five different grades of black tea samples obtained from a tea garden in India. The efficacy of the classifier has been established using tenfold cross-validation methods.

111 citations

Journal ArticleDOI
TL;DR: In this paper, the authors focused on performance evaluation and ranking of seven Indian Institute of Technology (IITs) in respect to stakeholders' preference using an integrated model consisting of fuzzy AHP and COPRAS.
Abstract: There are many opportunities and challenges in area of Indian technical education due to liberalization and globalization of economy. One of these challenges is how to assess performance of technical institutions based on multiple criteria. This paper is focused on performance evaluation and ranking of seven Indian Institute of Technology (IITs) in respect to stakeholders’ preference using an integrated model consisting of fuzzy AHP and COPRAS. Findings based on 2007–2008 data show that performance of two IITs need considerable improvement. To the best of our knowledge it is one of few studies that evaluates performance of technical institutions in India.

107 citations

Journal ArticleDOI
TL;DR: This paper presents an analytical solution of a fractional diffusion equation by Adomian decomposition method that performs extremely well in terms of efficiency and simplicity.

103 citations


Authors

Showing all 581 results

NameH-indexPapersCitations
Debnath Bhattacharyya395786867
Samiran Mitra381985108
Dipankar Chakravorty353695288
S. Saha Ray342173888
Tai-hoon Kim335264974
Anindya Sen291093472
Ujjal Debnath293353828
Anirban Mukhopadhyay291693200
Avijit Ghosh281212639
Mrinal K. Ghosh26642243
Biswanath Bhunia23751466
Jayati Datta23551520
Nabarun Bhattacharyya231361960
Pinaki Bhattacharya191141193
Dwaipayan Sen18711086
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20227
2021110
202087
201992
201883
2017103