Manoj Kumar Rawat

Prof. Dr. Manoj Kumar Rawat

Computer Science and Engineering, Medi-Caps University, Indore, India
+3
orcid
Professor, Computer Science and Engineering Department of Me...

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2021 in Evolutionary Intelligence
Verified
Journal Article
Closed access
PDF file
VPVaishali P. Patel
Vaishali P. Patel
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
APAmit S. Patel
Amit S. Patel
1

27 March 2025 in International Journal of Interactive Mobile Technologies (iJIM)
Verified
Journal Article
Open access
PDF file
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
SJSuresh Kumar Jha
Suresh Kumar Jha
ALA. Sree Lakshmi
A. Sree Lakshmi
JRJ. Venkata Ramana
J. Venkata Ramana
SGSudhanshu Gonge
Sudhanshu Gonge
ADArunava De
Arunava De
Mobile technology use in education is changing, much like in the business and health sectors. Research is now conducted on designing user-centric platforms that allow people to engage in teaching and learning activities. Although the learning management systems (LMS) field supports students and academic endeavors, the application’s high requirements prevent it from having the desired effect. More significantly, although mobile applications are convenient, there is a chance that user data could be maliciously exploited and eavesdropped. Due to the communication overhead of sending raw data to the central learning processor, wireless application structures cannot adapt to the original structure of mobile learning, which calls for data and processing heads to have a centralized entity. The goal is to offer fresh viewpoints and approaches that bring educational assessment up to date. This project aims to give educators scientifically based assessment tools and tactics by thoroughly examining the use of mobile technology in academic assessment. This will allow for more accurate teaching management and individualized instruction.

8 May 2021
Verified
Book Chapter
Closed access
PDF file
VPVaishali P. Patel
Vaishali P. Patel
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
APAmit S. Patel
Amit S. Patel

1 September 2015
Verified
Conference Paper
Closed access
KSKhushboo Sawant
Khushboo Sawant
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
AJAakansha Jain
Aakansha Jain
One of the most up-and-coming fields for research is mobile ad hoc network. Therefore independent nods mobility is an essential property of network. In these networks the routing protocol played important role in route discovery between communicating nodes. Due to this the network suffers from the performance issues. Among them security is main area of concern in the presented work. In this paper, we are clarify the incident of flooding attack and their exposed to the possibility of being attacked or harmed effects which give chance to a legitimate node for doing dissimilar attacks also. So we get going towards is to recognize the presence or existence of DOS flooding attack using secure routing protocols.
1

13 March 2025 in Neuroscience Informatics
Verified
Journal Article
Open access
CBChitrakant Banchhor
Chitrakant Banchhor
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
RJRahul Joshi
Rahul Joshi
DDDharmesh Dhabliya
Dharmesh Dhabliya
OKOmkaresh Kulkarni
Omkaresh Kulkarni
UPUmesh Pawar
Umesh Pawar

29 November 2024
Verified
Conference Paper
Closed access
RKRuchita Kale
Ruchita Kale
MTMohan Tasare
Mohan Tasare
YDYogita Dhumale
Yogita Dhumale
Manoj Kumar RawatManoj Kumar Rawat
Manoj Kumar Rawat
GSGaurav Sawale
Gaurav Sawale
The ultimate goal of any educational institution is to offer the best educational experience and impart knowledge effectively to students. Identifying students who need extra support and taking appropriate actions to enhance their performance is crucial in achieving this goal. This study explores the application of machine learning techniques to predict students' final grades based on their historical data. The proposed strategy integrates the 4QS Model, which focuses on intelligence, adversity, spirituality, emotional, and stress factors to address essential aspects of the academic environment. By targeting these key factors, the aim is to improve the teaching and learning environment, leading to enhanced student performance and future success. This approach enables educators to identify areas where students may struggle and tailor their teaching methods accordingly, resulting in a more effective and supportive educational experience for both faculty and students. A classification machine learning algorithm was employed to predict student performance.