Institution
Thapar University
Education•Patiāla, Punjab, India•
About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a quantitative assessment of surface damage in terms of parameters like surface crack density and recast layer thickness in wire electrical discharge machining (WEDM) process has been performed.
Abstract: In this work, quantitative assessment of surface damage in terms of parameters like surface crack density and recast layer thickness in wire electrical discharge machining (WEDM) process has been u...
63 citations
TL;DR: This paper proposes to classify the benign traffic from DDoS attack traffic by using machine learning technique and shows that the hybrid model of Support Vector classifier with Random Forest (SVC-RF) classifies the traffic with the highest testing accuracy of 98.8% with a very low false alarm rate.
63 citations
TL;DR: The following are discussed: (1) big data evolution including a bibliometric study of academic and industry publications pertaining to big data during the period 2000–2017, (2) popular open-source big data stream processing frameworks and (3) prevalent research challenges which must be addressed to realise the true potential of big data.
Abstract: The world is already into the information age. The huge growth of digital data has overwhelmed the traditional systems and approaches. Big data is touching almost all aspects of our life and the da...
63 citations
01 Jan 2019
TL;DR: The current state of the art in the area of approaches that use search-based techniques to identify code smell from the source code of object-oriented systems is presented.
Abstract: Researchers have provided various techniques and tools in the past few years for identification of code smells. Due to their changing outcomes and features, the classification, comparison, and evaluation of this existing code smell detection techniques and tool are imperative. This paper presents the current state of the art in the area of approaches that use search-based techniques to identify code smell from the source code of object-oriented systems. The classification of code bad smells approaches is done on the basis of their detection and analysis method. The results of selected techniques were analyzed. The observations and recommendations were presented after critical analysis of existing code smell detection approaches. These observations and recommendations can help the researchers and practitioners working in the area of designing a tool/technique for code smell detection.
63 citations
TL;DR: In this article, two different metal-oxide species are employed to make a transparent heterojunction to fabricate the TPC, which is very sensitive to UV signals and thus, TPC can be a highperforming photodetector by self-powered operation due to the photovoltaic effect.
63 citations
Authors
Showing all 3035 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gaurav Sharma | 82 | 1244 | 31482 |
| Vinod Kumar | 77 | 815 | 26882 |
| Neeraj Kumar | 76 | 587 | 18575 |
| Ashish Sharma | 75 | 909 | 20460 |
| Dinesh Kumar | 69 | 1333 | 24342 |
| Pawan Kumar | 64 | 547 | 15708 |
| Harish Garg | 61 | 311 | 11491 |
| Rafat Siddique | 58 | 183 | 11133 |
| Surya Prakash Singh | 55 | 736 | 12989 |
| Abhijit Mukherjee | 55 | 378 | 10196 |
| Ajay Kumar | 53 | 809 | 12181 |
| Soumen Basu | 45 | 247 | 7888 |
| Sudeep Tanwar | 43 | 263 | 5402 |
| Yosi Shacham-Diamand | 42 | 287 | 6463 |
| Rupinder Singh | 42 | 458 | 7452 |