Dr sachin Gaur

@kecua.ac.in

Assistant Professor Computer Science & Engineering Department
Bipin Tripathi Kumaon Institute of Technology

Dr sachin Gaur


               Download Compact PDF  
https://researchid.co/drsgaur
15

Scopus Publications

125

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Enhanced Method for Terrorist Attack Prediction Using Machine Learning
    Dhruv Lingwal, Sachin Gaur
    Lecture Notes in Networks and Systems, 2026
  • Detection of diabetic retinopathy and classification of its stages by using convolutional neural network
    Sachin Gaur, Anirudh Kandwal, Bhaskar Pandey
    Indonesian Journal of Electrical Engineering and Computer Science, 2025
    Diabetes detection is pivotal in disease management and complication prevention. Traditional screening methods, like blood tests, are invasive and time-consuming. Deep learning has emerged as a non-invasive and automated alternative for diabetes detection. Convolutional neural networks (CNNs) excel in image analysis tasks, making them ideal for this purpose. This paper employs a CNN-based method for diabetes prediction using retinal images, utilizing the DenseNet169 architecture for feature extraction and diabetic retinopathy (DR) prediction. The APTOS 2019 blindness detection dataset from Kaggle, containing around 13,000 retinal images, is used for training. Pre-processing and normalization precede feature extraction, followed by the prediction of the DR stage. The model aims to classify retinal images into five stages of DR (0 to 4), ranging from no DR to proliferative DR. Our model achieved over 82% accuracy, outperforming advanced algorithms. Model evaluation includes accuracy, precision, recall, and F1 score measures.
  • Efficient virtual machine placement in cloud computing environment using BSO-ANN based hybrid technique
    Pradeep Singh Rawat, Sachin Gaur, Varun Barthwal, Punti Gupta, Debjani Ghosh, Deepak Gupta, Joel JP C. Rodrigues
    Alexandria Engineering Journal, 2025
    Cloud computing has revolutionized the way businesses and individuals access and utilize computing resources. Efficient virtual machine placement is a critical aspect of optimizing resource utilization, reducing operational costs, energy consumption, service level agreement and minimum virtual machine migrations, execution time, and ensuring the overall performance of cloud services. This manuscript introduces a novel approach that combines the creative problem-solving capabilities of brainstorming with the computational power of Artificial Neural Networks (ANN) to address the virtual machine placement problem in cloud environments. In this study, we propose a hybrid technique that leverages the collective intelligence of human brainstorming to generate a diverse set of placement strategies. These strategies are then evaluated, refined, and optimized using an ANN model trained on historical cloud resource allocation workload logs. By integrating the human creative process with the data-driven predictive capabilities of ANN, our approach aims to overcome the limitations of traditional virtual machine placement algorithms, which often struggle to adapt to dynamic workloads and changing resource requirements. The manuscript provides a detailed description of the hybrid technique, including the process of brainstorming for generating placement strategies, data collection and preprocessing, ANN model development, and the integration of these components into an efficient placement system. We present experimental results demonstrating the effectiveness of our approach in optimizing resource allocation, improving service performance, and optimizing resource utilization, reducing energy consumption, service level agreement and minimum virtual machine migrations, reducing execution time compared to existing static, and meta-heuristic methods. The proposed Brain Storming with ANN based Hybrid Technique offers a promising solution for enhancing the efficiency of virtual machine placement in cloud computing environments. BSO-ANN outperforms the existing techniques using performance metrics (energy consumption(Kwh), execution time(ms), SLA violations, and number of migrations). It combines human ingenuity with data-driven insights to adapt to the ever-changing dynamics of cloud workloads. This manuscript contributes to the ongoing research in cloud resource management, offering a practical approach for cloud service providers and organizations to better utilize their resources and enhance the overall quality of cloud-based services. © 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Global Science and Technology Forum Pte Ltd.
  • Realization of Facial Recognition Technology for Attendance Monitoring Through Biometric Modalities Employing MTCNN Integration
    Sachin Gaur, Milind Pandey, Himanshu
    SN Computer Science, 2024
  • Efficient Virtual Machine Placement Strategy Based on Enhanced Genetic Approach
    Varun Barthwal, M. M. S. Rauthan, Rohan Varma, Sachin Gaur
    SN Computer Science, 2024
  • An Extensive Analysis of Digital Image Watermarking Techniques
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Enhancing Facial Recognition Accuracy through KNN Classification with Principal Component Analysis and Local Binary Pattern
    Sachin Gaur, Nitesh Tiwari, Sneha Vyas, Milind Pandey
    International Journal of Electrical and Electronics Research, 2024
    Recent developments in deep learning techniques have led to remarkable progress in facial recognition. As a component of biometric verification, human face recognition has become widely used in a variety of applications, including surveillance systems, home entry access, mobile face unlocking, and network security. Conventional facial recognition techniques are especially useful when dealing with low-resolution photos or difficult lighting situations. The K-nearest neighbor (KNN) classifier has been used in this paper. KNN is a non-parametric, instance-based learning algorithm that is commonly used for classification tasks. Principal Component Analysis (PCA) and local binary pattern (LBP) are used in this study to develop face identification. Both contrast stretching and grayscale were used to ensure ease of computation. The study was conducted on two separate and through multiple tests with different values for k, the highest accuracy obtained was at k=1 for both datasets. The smaller user dataset achieved 91% accuracy and CASIA-WebFace obtained 87% model accuracy.
  • Study of Energy-Efficient Virtual Machine Migration with Assurance of Service-Level Agreements
    Suraj Singh Panwar, M. M. S. Rauthan, Varun Barthwal, Sachin Gaur, Nidhi Mehra
    Lecture Notes in Networks and Systems, 2024
  • A Hybrid DWT-SVD Based Adaptive Image Watermarking Scheme
    Sachin Gaur, Navneet Tripathi, Jyoti Pandey
    Journal of Image and Graphics United Kingdom, 2023
    In the digital age, protecting the ownership and data veracity of digital documents is a major challenge. To address the issues concerning copyright protection and data verification of digital media, digital watermarking has emerged as a solution. In this paper, we aspire to make a modest contribution to this emerging and exciting field by presenting our proposed adaptive hybrid image watermarking approach that combines Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). Our method involves applying DWT to both the host image and watermark, followed by singular decomposition using SVD on the Low-Low (LL) component of both images. Now modify the singular values of the host image by the singular values of the watermark, and then inverse SVD is applied, followed by inverse DWT, to obtain the watermarked image. After that, the reverse process is applied to obtain the watermark image. Finally, we evaluate our approach’s performance by measuring the Peak Signal-to-Noise Ratio (PSNR) between the original and watermarked image as well as the Normalized Cross-Correlation (NCC) between the original and extracted watermark. Simulation results indicate that the proposed method is rich in terms of robustness, imperceptibility and capacity than the previously presented schemes.
  • An Adaptive Block-Based Watermarking Scheme Using RDWT-SVD and Particle Swarm Optimization
    Sachin Gaur, Krista Chaudhary, Vikas Goel, Varun Barthwal
    SN Computer Science, 2023
  • Rainfall Induced Landslide Detection in Study Area using Machine Learning Model
    Pradeep Singh Rawat, Anuj Kumar Yadav, Varun Barthwal, Sachin Gaur
    7th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2023 Proceedings, 2023
  • Bad Data Processing in Electrical Power System using Binary Particle Swarm Optimization
    Amit Kumar, Sachin Gaur
    Proceedings 2019 Women Institute of Technology Conference on Electrical and Computer Engineering Witcon Ece 2019, 2019
  • Transform domain block based watermarking using spatial frequency and SVD
    Sachin Gaur, Asst Professor, Vinay Kumar Srivastava, I Cox, M Miller, et al.
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • A hybrid RDWT-DCT and SVD based digital image watermarking scheme using Arnold transform
    Sachin Gaur, Vinay Kumar Srivastava
    2017 4th International Conference on Signal Processing and Integrated Networks Spin 2017, 2017
  • Robust embedding of improved arnold transformed watermark in digital images using RDWT-SVD
    Sachin Gaur, Vinay Kumar Srivastava
    2016 4th International Conference on Parallel Distributed and Grid Computing Pdgc 2016, 2016

RECENT SCHOLAR PUBLICATIONS

  • Efficient virtual machine placement in cloud computing environment using BSO-ANN based hybrid technique
    PS Rawat, S Gaur, V Barthwal, P Gupta, D Ghosh, D Gupta, ...
    Alexandria Engineering Journal 110, 145-152 , 2025
    2025
    Citations: 26
  • Realization of Facial Recognition Technology for Attendance Monitoring Through Biometric Modalities Employing MTCNN Integration
    S Gaur, M Pandey, Himanshu
    SN Computer Science 5 (7), 862 , 2024
    2024
    Citations: 3
  • Himanshu,“Realization of facial recognition technology for attendance monitoring through biometric modalities employing MTCNN integration,” SN Comput
    S Gaur, M Pandey
    Sci 5 (7), 862 , 2024
    2024
    Citations: 5
  • An Improved Digital Image Watermarking Approach with Machine Learning Techniques
    D Lingwal, S Gaur, MK Misra
    International Conference on Mathematics and Logics in Computer Science, 161-171 , 2024
    2024
  • Enhancing facial recognition accuracy through knn classification with principal component analysis and local binary pattern
    S Gaur, N Tiwari, S Vyas, M Pandey
    International Journal of Electrical and Electronics Research 12 (3), 791-798 , 2024
    2024
    Citations: 4
  • Enhanced Method for Terrorist Attack Prediction Using Machine Learning
    D Lingwal, S Gaur
    International Conference on MAchine inTelligence for Research & Innovations … , 2024
    2024
  • Efficient virtual machine placement strategy based on enhanced genetic approach
    V Barthwal, MMS Rauthan, R Varma, S Gaur
    SN Computer Science 5 (5), 466 , 2024
    2024
    Citations: 7
  • An extensive analysis of digital image watermarking techniques
    S Gaur, V Barthwal
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 13
  • A hybrid dwt-svd based adaptive image watermarking scheme
    S Gaur, N Tripathi, J Pandey
    Journal of Image and Graphics 11 (4), 414-427 , 2023
    2023
    Citations: 12
  • Study of energy-efficient virtual machine migration with assurance of service-level agreements
    SS Panwar, MMS Rauthan, V Barthwal, S Gaur, N Mehra
    International Conference on Cryptology & Network Security with Machine … , 2023
    2023
    Citations: 4
  • Rainfall Induced Landslide Detection in Study Area using Machine Learning Model
    PS Rawat, AK Yadav, V Barthwal, S Gaur
    2023 7th International Conference on I-SMAC (IoT in Social, Mobile … , 2023
    2023
  • An adaptive block-based watermarking scheme using RDWT-SVD and particle swarm optimization
    S Gaur, K Chaudhary, V Goel, V Barthwal
    SN Computer Science 4 (5), 654 , 2023
    2023
    Citations: 4
  • Sustainable Greenhouse For Crops & Drying of Herbal Medicinal Plants
    SG Ramesh Chand Panda, Saurabh Dhaiya, Manoj Gupta
    AU Patent 2,020,104,340 , 2021
    2021
  • Bad data processing in electrical power system using binary particle swarm optimization
    A Kumar, S Gaur
    2019 Women Institute of Technology Conference on Electrical and Computer … , 2019
    2019
    Citations: 3
  • Transform Domain Block based Watermarking Using Spatial Frequency and SVD (Scopus)
    SGVK Srivastava
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • A RDWT and Block-SVD based Dual Watermarking Scheme for Digital Images
    SGVK Srivastava
    International Journal of Advance Computer Science and Application. 8, 211-219, , 2017
    2017
    Citations: 18
  • A hybrid RDWT-DCT and SVD based digital image watermarking scheme using Arnold transform
    S Gaur, VK Srivastava
    2017 4th International Conference on Signal Processing and Integrated … , 2017
    2017
    Citations: 22
  • A Robust and Secure Block-SVD based Embedding of Encrypted Watermark in Digital Images using RDWT
    S Gaur, VK Srivastava
    International Journal of Security and its application 11 (1), 257-270 , 2017
    2017
  • Robust embedding of improved arnold transformed watermark in digital images using RDWT—SVD
    S Gaur, VK Srivastava
    2016 Fourth International Conference on Parallel, Distributed and Grid … , 2016
    2016
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Efficient virtual machine placement in cloud computing environment using BSO-ANN based hybrid technique
    PS Rawat, S Gaur, V Barthwal, P Gupta, D Ghosh, D Gupta, ...
    Alexandria Engineering Journal 110, 145-152 , 2025
    2025
    Citations: 26
  • A hybrid RDWT-DCT and SVD based digital image watermarking scheme using Arnold transform
    S Gaur, VK Srivastava
    2017 4th International Conference on Signal Processing and Integrated … , 2017
    2017
    Citations: 22
  • A RDWT and Block-SVD based Dual Watermarking Scheme for Digital Images
    SGVK Srivastava
    International Journal of Advance Computer Science and Application. 8, 211-219, , 2017
    2017
    Citations: 18
  • An extensive analysis of digital image watermarking techniques
    S Gaur, V Barthwal
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 13
  • A hybrid dwt-svd based adaptive image watermarking scheme
    S Gaur, N Tripathi, J Pandey
    Journal of Image and Graphics 11 (4), 414-427 , 2023
    2023
    Citations: 12
  • Efficient virtual machine placement strategy based on enhanced genetic approach
    V Barthwal, MMS Rauthan, R Varma, S Gaur
    SN Computer Science 5 (5), 466 , 2024
    2024
    Citations: 7
  • Himanshu,“Realization of facial recognition technology for attendance monitoring through biometric modalities employing MTCNN integration,” SN Comput
    S Gaur, M Pandey
    Sci 5 (7), 862 , 2024
    2024
    Citations: 5
  • Enhancing facial recognition accuracy through knn classification with principal component analysis and local binary pattern
    S Gaur, N Tiwari, S Vyas, M Pandey
    International Journal of Electrical and Electronics Research 12 (3), 791-798 , 2024
    2024
    Citations: 4
  • Study of energy-efficient virtual machine migration with assurance of service-level agreements
    SS Panwar, MMS Rauthan, V Barthwal, S Gaur, N Mehra
    International Conference on Cryptology & Network Security with Machine … , 2023
    2023
    Citations: 4
  • An adaptive block-based watermarking scheme using RDWT-SVD and particle swarm optimization
    S Gaur, K Chaudhary, V Goel, V Barthwal
    SN Computer Science 4 (5), 654 , 2023
    2023
    Citations: 4
  • Robust embedding of improved arnold transformed watermark in digital images using RDWT—SVD
    S Gaur, VK Srivastava
    2016 Fourth International Conference on Parallel, Distributed and Grid … , 2016
    2016
    Citations: 4
  • Realization of Facial Recognition Technology for Attendance Monitoring Through Biometric Modalities Employing MTCNN Integration
    S Gaur, M Pandey, Himanshu
    SN Computer Science 5 (7), 862 , 2024
    2024
    Citations: 3
  • Bad data processing in electrical power system using binary particle swarm optimization
    A Kumar, S Gaur
    2019 Women Institute of Technology Conference on Electrical and Computer … , 2019
    2019
    Citations: 3
  • An Improved Digital Image Watermarking Approach with Machine Learning Techniques
    D Lingwal, S Gaur, MK Misra
    International Conference on Mathematics and Logics in Computer Science, 161-171 , 2024
    2024
  • Enhanced Method for Terrorist Attack Prediction Using Machine Learning
    D Lingwal, S Gaur
    International Conference on MAchine inTelligence for Research & Innovations … , 2024
    2024
  • Rainfall Induced Landslide Detection in Study Area using Machine Learning Model
    PS Rawat, AK Yadav, V Barthwal, S Gaur
    2023 7th International Conference on I-SMAC (IoT in Social, Mobile … , 2023
    2023
  • Sustainable Greenhouse For Crops & Drying of Herbal Medicinal Plants
    SG Ramesh Chand Panda, Saurabh Dhaiya, Manoj Gupta
    AU Patent 2,020,104,340 , 2021
    2021
  • Transform Domain Block based Watermarking Using Spatial Frequency and SVD (Scopus)
    SGVK Srivastava
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
  • A Robust and Secure Block-SVD based Embedding of Encrypted Watermark in Digital Images using RDWT
    S Gaur, VK Srivastava
    International Journal of Security and its application 11 (1), 257-270 , 2017
    2017