Ministry of Education
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Mr Vijay Bendalam

vidwan id: 323673
Male

Assistant Professor, DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
Aditya Institute of Technology & Management, Srikakulam

Orchid Icon 0000-0003-3499-0922 Researcher Icon P-7547-2015 Google Scholar Icon MHSifcAAAAAJ

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 11
Books 0
Proceedings 0

Publications

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Scopus

Citations 6
h-index 1

CrossRef

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Citations 0
h-index 0
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Professional Recognition

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Community & Membership

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IAENG

2023
LIFE MEMEBER

indian society for technical education

2023
life Member

Acm

2022
Year

CSI

2018
MEMBER

Bio

computer science and engineering

Personal Details

  • Male
  • Assistant Professor , Aditya Institute of Technology & Management, Srikakulam
  • Srikakulam, Andhra Pradesh, India
M.Tech
Other Institute 2010
Assistant Professor Jun 2011 – Present
Aditya Institute of Technology & Management, Srikakulam | DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

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Co-Authors (7)

Dharmana

Dr Dharmana Jayaram

Chaitanya Bharathi Institute of Technology, Hyderabad

Ramesh

Mr Ramesh Bandaru

Aditya Institute of Technology & Management, Srikakulam

Rambabu

Dr Rambabu Pemula

N/A

Stalin Babu

Dr Stalin Babu Gedela

GMR Institute of Technology (GMRIT), GMR Nagar, Rajam, Srikakulam Dt.,-532127 (CC-34))

Vijay Kumar

Mr Vijay Kumar Gangu

Aditya Institute of Technology & Management, Srikakulam

Panduranga Vital

Dr Panduranga Vital Terlapu

Aditya Institute of Technology & Management, Srikakulam

Yugandhar

Mr Yugandhar Manchala

Vardaman College of Engineering, Rangareddy

Scholarly Work

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AN INVESTIGATION ON THE USE OF MACHINE LEARNING METHODS FOR PREDICTING EMPLOYEE PERFORMANCE

B VIJAY
- Application No. : 202341030816 A Filed : 29-04-2023
Published : 05-05-2023 Published

Scholarly Publications

Unveiling Vocal Biomarkers: Investigating Parkinson’s Disease Detection through PCA and Optimized MLP Models on Voice Datasets

Open Access
conference paper
Year: 2024.
Authors: vijaya bendalam

Optimizing Breast Cancer Detection: Deep Transfer Learning Empowered by SVM Classifiers

Open Access
article
Year: 2024.
Authors: vijay bendalam

Rice Category Identification through Deep Transfer Learning Features and Machine Learning Classifiers: An Intelligent Approach

Open Access
Article
Year: 2024. Volume: 51 , Issue: 7 , Pages: 765-784 .
Authors: Terlapu P.V.;Prasan U.D.;Kumar T.R.;Bendalam V.;Pappu S.R.;Rao M.J.;Mohitha M.R.;Jayaram D.

Driver Drowsiness Detection System Using Visual Behaviour and Machine Learning Algorithms to Prevent Accidents

Open Access
conference paper
Year: 2023.
Authors: B vijay

Student Cognitive Learning Capability (SCLC) Prediction System using PCA-ANN based Model

Open Access
Conference Paper
Year: 2022. Pages: 11-18 .
Authors: Terlapu, P.V.;Yugandhar, M.;Ramesh, B.;Kumar, B.V.;Pemula, R.
DOI 10.1109/IC3P52835.2022.00013
6

Detection of Cyclones and Extreme Weather Events Using Advanced Deep Learning Methods

Open Access
journal-article
Year: 2022.
Authors: G. Vijay Kumar;B. Vijay;G. Stalin Babu;B. Ramesh
DOI 10.1109/icatiece56365.2022.10046958

CPU Scheduling Algorithms to Solve Problems in Diagnostic Related Health Care Centers

Open Access
article
Year: 2019.
Authors: B VIJAY

AWARE MITIGATION FOR MANET ROUTING ATTACKS

Open Access
article
Year: 2017.
Authors: B VIJAY