Institution
Chandigarh University
Education•Mohali, India•
About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.
Papers
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TL;DR: It was noticed from the analysis of the data obtained from the survey that the eight parameters that effect implementation of green manufacturing practices are acceptable and the study can be taken forward for further analysis.
6 citations
01 Apr 2021
TL;DR: In this paper, galvanized high strength interstitial free (HIF) steel sheets and dual phase (DP780) steel sheet were used for the investigations, and resistance spot weld joints were fabricated.
Abstract: In the present study, galvanized High Strength Interstitial Free (HIF) steel sheets, and Dual Phase (DP780) steel sheets were used for the investigations. Resistance spot weld joints were fabricate...
6 citations
TL;DR: The authors have introduced the concept of sensor node localization in a 2D dynamic environment using a single anchor node along with virtual anchors to locate target nodes (dynamic) using hexagonal projection technique, and the estimated target node coordinates are optimized using novel naked mole‐rat algorithm (NMRA).
6 citations
DOI•
01 Oct 2021TL;DR: In this article, the authors present a survey of the recent approaches being applied by the numerous researchers in their proposed models and introduce a classification chart of several machine learning algorithms that can be applied to the web-attack detection model.
Abstract: XSS attacks have become more prevalent in last few decades and thus more challenging to detect their existence. XSS attacks are broadly classified into two categories: server-based XSS attack and client-based XSS attack. Although a lot of research has already been done in this area, still the methods lack in precision and accuracy as per the literature survey. There are ample of methodologies being applied in the detection of XSS attacks using supervised learning, unsupervised learning, reinforcement learning, deep learning and metaheuristic algorithms. We present a survey of the recent approaches being applied by the numerous researchers in their proposed models. Following indexed journals were used for research papers’ collection in order to carry out a survey: Elsevier, Springer, IEEE explore, Hindawi, google scholar, and Web of Science. Moreover, in this paper, we introduce a classification chart of several machine learning algorithms that can be applied to the web-attack detection model.
6 citations
TL;DR: In this article , three different profiles have been developed to investigate cooling effect on the turning tool insert with different shapes and the results have been compared with the standard tool having no cooling channel.
6 citations
Authors
Showing all 1533 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Neeraj Kumar | 76 | 587 | 18575 |
| Rupinder Singh | 42 | 458 | 7452 |
| Vijay Kumar | 33 | 147 | 3811 |
| Radha V. Jayaram | 32 | 114 | 3100 |
| Suneel Kumar | 32 | 180 | 5358 |
| Amanpreet Kaur | 32 | 367 | 5713 |
| Vikas Sharma | 31 | 145 | 3720 |
| Munish Kumar Gupta | 31 | 192 | 3462 |
| Vijay Kumar | 30 | 113 | 2870 |
| Shashi Kant | 29 | 160 | 2990 |
| Sunpreet Singh | 29 | 153 | 2894 |
| Gagangeet Singh Aujla | 28 | 109 | 2437 |
| Deepak Kumar | 28 | 273 | 2957 |
| Dilbag Singh | 27 | 77 | 1723 |
| Tejinder Singh | 27 | 162 | 2931 |