Sunitha Patel

@atme.in

Assistant Professor Department of CSE
ATME College of Engineering

RESEARCH INTERESTS

Machine Learning
Artificial Intelligence
Data Mining
Image Processing
Deep Learning
5

Scopus Publications

7

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Medical image encryption using plaintext-associated key generation and Chaotic Skew Tent Map-based confusion-diffusion framework
    M.S. Sunitha Patel, Divya C.D., Chandru A.S., Karthik S.A., Suhaas K.P., et al.
    Journal of Integrated Science and Technology, 2026
    The rapid growth of Electronic Health Records (EHRs) has intensified the need to secure sensitive medical images, particularly in telehealth environments. This paper presents an efficient and robust medical image encryption scheme that combines chaotic skew tent maps with a self-adaptive Plaintext-Associated Key Generation (PAKG) mechanism. The approach generates dynamic, image-dependent security keys and employs a block-based multi-level chaotic structure for pixel confusion, followed by a threshold-driven diffusion process. Experiments on standard EHR images—assessed using entropy, key sensitivity, key space, correlation, and histogram metrics—demonstrate that the proposed scheme offers superior security and performance compared to existing methods. With its low computational complexity and strong resilience, the method provides a practical and secure solution for medical image encryption in modern tele-health systems.
  • Performance Evaluation of Support Vector Machine: Before and After Image Data Augmentation
    Sunitha Patel M S, Srinath S
    International Journal of Engineering Trends and Technology, 2022
  • Improved Spatial Invariance for Vehicle Platoon Application using New Pooling Method in Convolution Neural Network
    M S Sunitha Patel, Srinath S
    International Journal of Advanced Computer Science and Applications, 2022
    —The imbalanced dataset is a prominent concern for automotive deep learning researchers. The proposed work provides a new mixed pooling strategy with enhanced performance for imbalanced vehicle dataset based on Convolution Neural Network (CNN). Pooling is crucial for improving spatial invariance, processing time, and overfitting in CNN architecture. Max and average pooling are often utilized in contemporary research articles. Both techniques of pooling have their own advantages and disadvantages. In this study, the advantages of both pooling algorithms are evaluated for the classification of three vehicles: car, bus, and truck for imbalanced datasets. For each epoch, the performance of max pooling, average pooling, and the new mixed pooling method was assessed using ROC, F1-score, and error rate. Comparing the performance of the max-pooling method to that of the average pooling method, it has been found that the max-pooling method is superior. The performance of the proposed mixed pooling approach is superior to that of the maximum pooling and average pooling methods. In terms of Receiver Operating Characteristics (ROC), the proposed mixed pooling technique is approximately 2 per cent better than the maximum pooling method and 8 per cent better than the mixed pooling method. Using a new pooling technique, the classification performance with an imbalanced dataset is improved, and also a novel mixed pooling method is proposed for the classification of vehicles.
  • Performance Evaluation of Feature Extraction Algorithms for Vehicle Shape Classification
    Sunitha Patel, Srinath S
    U Porto Journal of Engineering, 2022
    Vehicle classification is a classic application of automotive image processing that is necessary for a variety of modern vehicle safety and comfort features. While machine learning-based solutions are effective in these fields and are currently employed extensively in various automotive applications. However, the most challenging aspect of automotive image processing with machine learning methods is gathering adequate quality and quantity datasets to develop such applications. Additionally, imbalanced datasets are common in multiclass automotive image processing, as is the case with the current topic of vehicle platoon management. The effectiveness of available handcrafted feature extractors and classifiers employed for vehicle class categorization varies greatly due to the effect of dataset imbalance. This study aims to examine how the performance of four prominent feature extractors alters when used with the imbalance dataset for vehicle shape classification. Also, the use of image augmentation techniques to increase the dataset size for three vehicle classes: car, bus, and truck, has been presented. Further, using the Support Vector Machine (SVM) classifier, experimental analysis was performed using feature extractors such as Histogram of Oriented Gradient (HOG), Scaled Invariant Feature Transform (SIFT), Speeded-Up Robust Feature (SURF), and Haar. Vehicle shape classification, which is an important characteristic in vehicle platoon management, has been evaluated using Receiver Operating Characteristic (ROC) for both the unbalanced dataset and the augmented dataset. The experimental results demonstrate that using the HOG feature extractor performs better when compared to SIFT, SURF, and HAAR feature extractors on the imbalance dataset. After using an image augmentation technique to add images, output performance improved significantly, with HOG output of 95%, SIFT output of 91%, SURF output of 91%, and HAAR output of 96%.
  • Soft Computing Approaches for Automotive Image Processing: Opportunities and Challenges
    M. S. Sunitha Patel, S. Srinath
    Lecture Notes in Electrical Engineering, 2021

RECENT SCHOLAR PUBLICATIONS

  • Medical image encryption using plaintext-associated key generation and Chaotic Skew Tent Map-based confusion-diffusion framework
    MSS Patel, CD Divya, AS Chandru, SA Karthik, KP Suhaas, ...
    Journal of Integrated Science and Technology 14 (1), 1506-1506 , 2026
    2026.0
    Citations: 1
  • Novel Intelligent Trust Computation for Securing Internet-of- Things using Probability based Artificial Intelligence”,
    KB Nasreen Fathima, M S Sunitha Patel
    Indonesian Journal of Electrical Engineering and Computer Science 38 (2 … , 2025
    2025.0
  • IMAGE SUPER RESOLUTION
    AMK Dr. M S Sunitha Patel, Bhoomika K R, Neethushree BJ, Monika M
    International Journal of Creative Research Thoughts (IJCRT) 13 (3), a723-a728 , 2025
    2025.0
  • Internet of Things (Iot) based Automated Public Lighting
    AMSNSA M S Sunitha Patel, Kavana K R, Amulya Shetty
    Industrial Engineering Journal 53 (5) , 2024
    2024.0
  • Automated Face Detection based Attendance Management System using Machine Learning
    SDA M S Sunitha Patel, Ashish Prasad R, Kushal M, Muzammil Hussain Aboobakar ...
    Industrial Engineering Journal 53 (5) , 2024
    2024.0
  • Performance Evaluation of Feature Extraction Algorithms for Vehicle Shape Classification
    S Patel, S Srinath
    U. Porto Journal of Engineering 8 (6), 62-75 , 2022
    2022.0
    Citations: 3
  • Improved Spatial Invariance for Vehicle Platoon Application using New Pooling Method in Convolution Neural Network
    SS M S Sunitha Pate
    International Journal of Advanced Computer Science and Applications 13 (7 … , 2022
    2022.0
    Citations: 3
  • Automotive Imbalance Dataset Analysis and Solution using Deep Learning Algorithm
    SS M S Sunitha Patel
    International Conference on Intelligence System (ICIS-2022), Uttaranchal … , 2022
    2022.0
  • MULTI-VEHICLE DETECTION IN A PLATOONING SYSTEM USING AN IMAGE PROCESSING MODEL WITH A MACHINE LEARNING APPROACH
    DSS M S Sunitha Patel
    Dogo Rangsang Research Journal 12 (2), 44-51 , 2022
    2022.0
  • Performance Evaluation of Support Vector Machine: Before and After Image Data Augmentation
    SS M S Sunitha Pate
    International Journal of Engineering Trends and Technology 70 (2), 253-259 , 2022
    2022.0
  • Vehicle area impact on fuel efficiency in platoon management
    MSSPD Srinath S
    International Journal of Advanced Research, Ideas and Innovations in … , 2021
    2021.0
  • An Insight into Feature Extraction Algorithms for Vehicle Platoon Management
    MSSPD Srinath S
    INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) 7 … , 2020
    2020.0
  • Soft Computing Approaches for Automotive Image Processing: Opportunities and Challenges
    MS Sunitha Patel, S Srinath
    International Conference on Automation, Signal Processing, Instrumentation … , 2020
    2020.0
  • Iot Based Car Parking System
    MSSP Aishwaryaa P Ananya H S Keerthana S Niranjan M G
    INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERIN 7 … , 2019
    2019.0
  • Voice Assisted Web Design By Means Of Deep Learning
    SSZATVM Sunitha Patel
    INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING 7 … , 2019
    2019.0
  • Advanced Mutual Bait Detection Approach To Defend Against Combined Attackes In Manets
    SNP M S Sunitha Patel
    International Journal for Research in Applied Science & Engineering … , 2018
    2018.0
  • Methodology of Reducing Image Using Principal Component Analysis With Singular Value Decomposition
    SCR Sneha N P, M S Sunitha Patel
    International Journal for Science and Advance Research in Technology 3 (10 … , 2017
    2017.0
  • Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach
    MSS Patel
    ATMECE , 2017
    2017.0
  • Duty Cycle Aware Minimum Energy Multicasting With Mobile Sinks in Sensor Networks
    SP Jyothi, Ambika V
    International Journal of Emerging Technology & Research 1 (4) , 2014
    2014.0
  • SECURE TRANSMISSION OF DATA BETWEEN NODES AND GATEWAY IN INTERNET OF THINGS
    N Fathima, MSS Patel

MOST CITED SCHOLAR PUBLICATIONS

  • Performance Evaluation of Feature Extraction Algorithms for Vehicle Shape Classification
    S Patel, S Srinath
    U. Porto Journal of Engineering 8 (6), 62-75 , 2022
    2022.0
    Citations: 3
  • Improved Spatial Invariance for Vehicle Platoon Application using New Pooling Method in Convolution Neural Network
    SS M S Sunitha Pate
    International Journal of Advanced Computer Science and Applications 13 (7 … , 2022
    2022.0
    Citations: 3
  • Medical image encryption using plaintext-associated key generation and Chaotic Skew Tent Map-based confusion-diffusion framework
    MSS Patel, CD Divya, AS Chandru, SA Karthik, KP Suhaas, ...
    Journal of Integrated Science and Technology 14 (1), 1506-1506 , 2026
    2026.0
    Citations: 1
  • Novel Intelligent Trust Computation for Securing Internet-of- Things using Probability based Artificial Intelligence”,
    KB Nasreen Fathima, M S Sunitha Patel
    Indonesian Journal of Electrical Engineering and Computer Science 38 (2 … , 2025
    2025.0
  • IMAGE SUPER RESOLUTION
    AMK Dr. M S Sunitha Patel, Bhoomika K R, Neethushree BJ, Monika M
    International Journal of Creative Research Thoughts (IJCRT) 13 (3), a723-a728 , 2025
    2025.0
  • Internet of Things (Iot) based Automated Public Lighting
    AMSNSA M S Sunitha Patel, Kavana K R, Amulya Shetty
    Industrial Engineering Journal 53 (5) , 2024
    2024.0
  • Automated Face Detection based Attendance Management System using Machine Learning
    SDA M S Sunitha Patel, Ashish Prasad R, Kushal M, Muzammil Hussain Aboobakar ...
    Industrial Engineering Journal 53 (5) , 2024
    2024.0
  • Automotive Imbalance Dataset Analysis and Solution using Deep Learning Algorithm
    SS M S Sunitha Patel
    International Conference on Intelligence System (ICIS-2022), Uttaranchal … , 2022
    2022.0
  • MULTI-VEHICLE DETECTION IN A PLATOONING SYSTEM USING AN IMAGE PROCESSING MODEL WITH A MACHINE LEARNING APPROACH
    DSS M S Sunitha Patel
    Dogo Rangsang Research Journal 12 (2), 44-51 , 2022
    2022.0
  • Performance Evaluation of Support Vector Machine: Before and After Image Data Augmentation
    SS M S Sunitha Pate
    International Journal of Engineering Trends and Technology 70 (2), 253-259 , 2022
    2022.0
  • Vehicle area impact on fuel efficiency in platoon management
    MSSPD Srinath S
    International Journal of Advanced Research, Ideas and Innovations in … , 2021
    2021.0
  • An Insight into Feature Extraction Algorithms for Vehicle Platoon Management
    MSSPD Srinath S
    INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) 7 … , 2020
    2020.0
  • Soft Computing Approaches for Automotive Image Processing: Opportunities and Challenges
    MS Sunitha Patel, S Srinath
    International Conference on Automation, Signal Processing, Instrumentation … , 2020
    2020.0
  • Iot Based Car Parking System
    MSSP Aishwaryaa P Ananya H S Keerthana S Niranjan M G
    INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERIN 7 … , 2019
    2019.0
  • Voice Assisted Web Design By Means Of Deep Learning
    SSZATVM Sunitha Patel
    INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING 7 … , 2019
    2019.0
  • Advanced Mutual Bait Detection Approach To Defend Against Combined Attackes In Manets
    SNP M S Sunitha Patel
    International Journal for Research in Applied Science & Engineering … , 2018
    2018.0
  • Methodology of Reducing Image Using Principal Component Analysis With Singular Value Decomposition
    SCR Sneha N P, M S Sunitha Patel
    International Journal for Science and Advance Research in Technology 3 (10 … , 2017
    2017.0
  • Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach
    MSS Patel
    ATMECE , 2017
    2017.0
  • Duty Cycle Aware Minimum Energy Multicasting With Mobile Sinks in Sensor Networks
    SP Jyothi, Ambika V
    International Journal of Emerging Technology & Research 1 (4) , 2014
    2014.0
  • SECURE TRANSMISSION OF DATA BETWEEN NODES AND GATEWAY IN INTERNET OF THINGS
    N Fathima, MSS Patel