Dr. Yogesh Golhar

@stvincentngp.edu.in

Computer Enginerring Dept.
St. Vincent Pallotti College of Engineering and Technology



           

https://researchid.co/yogesh_g28

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Multidisciplinary, Multidisciplinary, Multidisciplinary

237

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Novel person detection and suspicious activity recognition using enhanced YOLOv5 and motion feature map
    U Gawande, K Hajari, Y Golhar
    Artificial Intelligence Review 57 (2), 16 2024

  • Women's Empowerment Through AI: Discovering Data Analytics for Predictive Safety Solutions and Future Trends
    AP Pimpalkar, NR Wankhade, V Chole, Y Golhar
    AI Tools and Applications for Women’s Safety, 304-326 2024

  • Real-time deep learning approach for pedestrian detection and suspicious activity recognition
    U Gawande, K Hajari, Y Golhar
    Procedia Computer Science 218, 2438-2447 2023

  • Novel approach for pedestrian unusual activity detection in academic environment
    KO Hajari, UH Gawande, Y Golhar
    IAES International Journal of Artificial Intelligence 11 (4), 1517 2022

  • Motion Pattern Based Anomalous Pedestrian Activity Detection
    KO Hajari, UH Gawande, Y Golhar
    International Journal of Image, Graphics and Signal Processing (IJIGSP) 14 2022

  • Deep learning approach for pedestrian detection, tracking, and suspicious activity recognition in academic environment
    K Hajari, U Gawande, Y Golhar
    Intelligent Computing and Applications: Proceedings of ICDIC 2020, 29-38 2022

  • Robust Pedestrian Detection and Path Prediction using Improved YOLOv5
    KO Hajari, U Gawande, Y Golhar
    ELCVIA Electronic Letters on Computer Vision and Image Analysis 21 (2), 40-61 2022

  • SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
    U Gawande, K Hajari, Y Golhar
    Applied Intelligence 52 (9), 10398-10416 2022

  • Robust pedestrian detection using scale and illumination invariant Mask R-CNN
    U Gawande, K Hajari, Y Golhar
    International Journal of Computational Science and Engineering 25 (6), 607-618 2022

  • Efficient Strategies to Manage Road Traffic Using Big Data Analytics
    Y Golhar, M Kshirsagar
    ICT Analysis and Applications, 47-55 2022

  • Emerging Technologies for Driving Road Safety and Traffic Management for Urban Area
    YGM Kshirsagar
    Journal of Computer Science 17 (11), 1104-1115 2021

  • Deep Learning Approaches to Pedestrian Detection: State of the Art
    K Hajari, U Gawande, Y Golhar
    Computing Technologies and Applications, 301-321 2021

  • Scale invariant mask r-cnn for pedestrian detection
    UH Gawande, KO Hajari, YG Golhar
    ELCVIA: electronic letters on computer vision and image analysis 19 (3), 98-118 2020

  • Deep learning approach to key frame detection in human action videos
    U Gawande, K Hajari, Y Golhar
    Recent trends in computational intelligence 1, 1-17 2020

  • Pedestrian detection and tracking in video surveillance system: issues, comprehensive review, and challenges
    U Gawande, K Hajari, Y Golhar
    Recent Trends in Computational Intelligence, 1-24 2020

  • A Novel Approach for Computing Congestion Degree of Road Traffic using MapReduce Framework
    DMMK Mr. Yogesh Golhar
    International Journal of Advanced Science and Technolog 29 (06), 5630-5644 2020

  • Map reduce to Compute Congestion Degree
    DMK Yogesh Golhar
    “International Conference on Innovation in Engineering Sciences, Management 2019

  • Rubik’s Cube Solver: A Review
    ES Toshniwal, Y Golhar
    2019 9th International Conference on Emerging Trends in Engineering and 2019

  • Review on Smart Road Traffic Management for Indian Urban Population
    DMMK Mr. Yogesh Golhar
    2018 5th International Conference on “ Co mputing for Sustainable Global 2018

  • Biometric security system: a rigorous review of unimodal and multimodal biometrics techniques
    U Gawande, Y Golhar
    International Journal of Biometrics 10 (2), 142-175 2018

MOST CITED SCHOLAR PUBLICATIONS

  • Pedestrian detection and tracking in video surveillance system: issues, comprehensive review, and challenges
    U Gawande, K Hajari, Y Golhar
    Recent Trends in Computational Intelligence, 1-24 2020
    Citations: 47

  • Neural network approach to iris recognition in noisy environment
    K Hajari, U Gawande, Y Golhar
    Procedia Computer Science 78, 675-682 2016
    Citations: 40

  • Biometric security system: a rigorous review of unimodal and multimodal biometrics techniques
    U Gawande, Y Golhar
    International Journal of Biometrics 10 (2), 142-175 2018
    Citations: 34

  • SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection
    U Gawande, K Hajari, Y Golhar
    Applied Intelligence 52 (9), 10398-10416 2022
    Citations: 21

  • Deep learning approach to key frame detection in human action videos
    U Gawande, K Hajari, Y Golhar
    Recent trends in computational intelligence 1, 1-17 2020
    Citations: 20

  • Biometric-based security system: Issues and challenges
    U Gawande, Y Golhar, K Hajari
    Intelligent Techniques in Signal Processing for Multimedia Security, 151-176 2017
    Citations: 16

  • Novel cryptographic algorithm based fusion of multimodal biometrics authentication system
    U Gawande, KO Hajari, YG Golhar
    International Conference on Computing and Communication Technologies, 1-6 2014
    Citations: 16

  • Novel technique for removing corneal reflection in noisy environment—Enhancing iris recognition performance
    U Gawande, K Hajari, Y Golhar
    2016 International Conference on Signal and Information Processing (IConSIP 2016
    Citations: 9

  • Implementation of unimodal to multimodal biometrie feature level fusion of combining face iris and ear in multi-modal biometric system
    SD Jamdar, Y Golhar
    2017 International Conference on Trends in Electronics and Informatics (ICEI 2017
    Citations: 8

  • Real-time deep learning approach for pedestrian detection and suspicious activity recognition
    U Gawande, K Hajari, Y Golhar
    Procedia Computer Science 218, 2438-2447 2023
    Citations: 6

  • Scale invariant mask r-cnn for pedestrian detection
    UH Gawande, KO Hajari, YG Golhar
    ELCVIA: electronic letters on computer vision and image analysis 19 (3), 98-118 2020
    Citations: 6

  • Human Gesture Detection & Recognition: A Need of an Era
    Y Golhar, U Shrawankar
    International Conference on Research in Intelligent Computing in Engineering 2016
    Citations: 3

  • Novel approach for pedestrian unusual activity detection in academic environment
    KO Hajari, UH Gawande, Y Golhar
    IAES International Journal of Artificial Intelligence 11 (4), 1517 2022
    Citations: 2

  • Motion Pattern Based Anomalous Pedestrian Activity Detection
    KO Hajari, UH Gawande, Y Golhar
    International Journal of Image, Graphics and Signal Processing (IJIGSP) 14 2022
    Citations: 2

  • Robust pedestrian detection using scale and illumination invariant Mask R-CNN
    U Gawande, K Hajari, Y Golhar
    International Journal of Computational Science and Engineering 25 (6), 607-618 2022
    Citations: 2

  • Rubik’s Cube Solver: A Review
    ES Toshniwal, Y Golhar
    2019 9th International Conference on Emerging Trends in Engineering and 2019
    Citations: 2

  • Deep learning approach for pedestrian detection, tracking, and suspicious activity recognition in academic environment
    K Hajari, U Gawande, Y Golhar
    Intelligent Computing and Applications: Proceedings of ICDIC 2020, 29-38 2022
    Citations: 1

  • Robust Pedestrian Detection and Path Prediction using Improved YOLOv5
    KO Hajari, U Gawande, Y Golhar
    ELCVIA Electronic Letters on Computer Vision and Image Analysis 21 (2), 40-61 2022
    Citations: 1

  • Efficient multimodal biometric feature fusion using block sum and minutiae techniques
    U Gawande, K Hajari, Y Golhar
    Proceedings of International Conference on Computer Vision and Image 2017
    Citations: 1