Meenakshi sundaram. A, received B.E. in Telecommunication Engineering Degree from Bangalore University, M.Tech degree in Computer Network Engineering from the VTU, Belgaum, and Ph.D from VTU, Belgaum,Karnataka, India. She has an experience of around 23 years in teaching. She is involved in the research in the field of Image Forensics. She has published about 30 plus papers in national and international conferences and journals. She is a Student member of IEEE, life member of ISTE and CSI
Deep Learning based Bone Fracture Detection Sailaja Thota, Pranav Kandukuru, Meenakshi Sundaram, Anooja Ali, Syed Muzamil Basha, et al. International Conference on Smart Systems for Applications in Electrical Sciences Icsses 2024, 2024 A current trend across several industries involves utilizing computer-based technologies to identify faults. To meet the demands of immediate detection and high precision, a highly responsive system should leverage modern approaches and make full use of available resources. While various methods exist for detecting bone fractures in the modern world, such as Magnetic Resonance Imaging (MRI), CT scans, and Bone scans, these approaches tend to be more expensive, uncomfortable for patients, and less effective at detecting subtle fractures that, if left untreated, could lead to significant challenges. In recent years, the application of Convolutional Neural Networks (CNNs) in medical image fracture identification has shown promise in automating the detection of bone fractures from X-ray images. However, deploying such algorithms on devices remains challenging due to limited computing resources. In this research work, MobileNet, employs X-ray images to detect bone fractures, and its results are compared with those of a CNN model. The MobileNet architecture is chosen for its capacity to reduce computational complexity while maintaining high accuracy of 98%.
Wi-Fi Based Smart Attendance Monitoring System Nithin Ramakrishnan, Ajil A., Anooja Ali, Meenakshi Sundaram A., Sanju V. 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions Csitss 2023 Proceedings, 2023
Recognition and Classification of Diabetic Retinopathy using Retinal Fundus Images 13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
ECRAR: Mean Differential Variation-Based Dung Beetle Optimization for Internet of Things Networks Sundhararajulu, A Kollu, S Tadigotla, KS Ranadheer Kumar, ... International Conference on Wireless Communication and Internet of … , 2024 2024
T5C: An Automated Paraphrase Generation to Address Minority Class Representation A Ali, DR Sarvamangala, C Rashmi, A Meenakshi Sundaram International Conference on Communication and Intelligent Systems, 353-364 , 2024 2024 Citations: 1
Deep learning based bone fracture detection S Thota, P Kandukuru, M Sundaram, A Ali, SM Basha, NH Bindu 2024 International Conference on Smart Systems for applications in … , 2024 2024 Citations: 18
Human activity recognition based on deep convolutional neural network V Anand, M Sundaram AIP Conference Proceedings 2742 (1), 020099 , 2024 2024
Acre-Scale Grape Bunch Detection and Predict Grape Harvest Using YOLO Deep Learning Network RR Sneha N, Meenakshi Sundaram A SN computer science 5 (250) , 2024 2024 Citations: 15
A Novel Method for Fruit Detection and Calorie Estimation using CNN. J Chalikar, M Sundaram Journal of Advanced Zoology 44 , 2023 2023
Alzheimer's Detection and Classification Using Fine‐Tuned Convolutional Neural Network A Ali, DR Sarvamangala, A Meenakshi Sundaram, C Rashmi Fuzzy logic applications in computer science and mathematics, 125-141 , 2023 2023 Citations: 10
Bi-Cluster Based Analysis on Gene Ontology AA Meenakshi Sundaram A, Anooja Ali, S S Patil Milestone Transactions on Medical Technometrics 1 (1), 10–17 , 2023 2023 Citations: 2
Pareto optimization technique for protein motif detection in genomic data set A Ali, HV Ramachandra, A Meenakshi Sundaram, A Ajil, N Ramakrishnan International Conference on Information, Communication and Computing … , 2023 2023 Citations: 5
Literature survey and an idea comprehension on prediction of hysterectomy in women using natural language processing and deep learning technique for electronic health record AN Kumar, A Meenakshi Sundaram SN Computer Science 4 (3), 255 , 2023 2023 Citations: 2
Artificial Intelligence-Based Chronic Kidney Disease Prediction—A Review AM Amaresh, A Meenakshi Sundaram Proceedings of Third International Conference on Sustainable Expert Systems … , 2023 2023
Detection of Gene Ontology Clusters Using Biclustering Algorithms NJ Anooja Ali, A Ajil, A Meenakshi Sundaram Springer Nature Singapore 4 (3), 217 , 2023 2023 Citations: 25
Weedspedia: Deep Learning-Based Approach for Weed Detection using R-CNN, YoloV3 and Centernet RR S. N, M. Sundaram International Conference on Quantum Technologies, Communications, Computing … , 2023 2023 Citations: 6
Integration of Cloud-Sensor Based Framework for Predictive Analysis for Accelerating Knowledge Gain in Agriculture MSRR S. N International Conference on Recent Advances in Information Technology for … , 2023 2023
Deep learning based application in identifying originality of the hand written document using convolution neural network N Sneha, M Sundaram, N Preetham 2022 International Conference on Connected Systems & Intelligence (CSI), 1-8 , 2022 2022 Citations: 2
Recognition and Classification of Diabetic Retinopathy using Retinal Fundus Images MSA Anand M GRENZE International Journal of Engineering &Technology, GIJET 8 (2), 912-916 , 2022 2022
Deep Learning Based Application in Identifying Originality of the Hand Written Document using Convolution Neural Network MSPN P. M. O, S. N International Conference on Connected Systems & Intelligence (CSI), 2022, pp … , 2022 2022
Crop Quality Assessment Through Crop Disease in Agriculture Using Deep Learning Models AS Sneha N., Anirudh R., Meenakshi Sundaram Design Engineering. 2021 (8), 15489-15502 , 2021 2021
Artificial Intelligent Robot for Enforcement Surveillance (AIRES) MSA Prajwal kulkarni International Conference on Smart Technologies in computing, Electrical and … , 2020 2020
ASRD: algorithm for spliced region detection in digital image forensics A Meenakshi Sundaram, C Nandini Computer Science On-line Conference, 87-95 , 2017 2017 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Detection of Gene Ontology Clusters Using Biclustering Algorithms NJ Anooja Ali, A Ajil, A Meenakshi Sundaram Springer Nature Singapore 4 (3), 217 , 2023 2023 Citations: 25
Deep learning based bone fracture detection S Thota, P Kandukuru, M Sundaram, A Ali, SM Basha, NH Bindu 2024 International Conference on Smart Systems for applications in … , 2024 2024 Citations: 18
Acre-Scale Grape Bunch Detection and Predict Grape Harvest Using YOLO Deep Learning Network RR Sneha N, Meenakshi Sundaram A SN computer science 5 (250) , 2024 2024 Citations: 15
Alzheimer's Detection and Classification Using Fine‐Tuned Convolutional Neural Network A Ali, DR Sarvamangala, A Meenakshi Sundaram, C Rashmi Fuzzy logic applications in computer science and mathematics, 125-141 , 2023 2023 Citations: 10
Weedspedia: Deep Learning-Based Approach for Weed Detection using R-CNN, YoloV3 and Centernet RR S. N, M. Sundaram International Conference on Quantum Technologies, Communications, Computing … , 2023 2023 Citations: 6
Pareto optimization technique for protein motif detection in genomic data set A Ali, HV Ramachandra, A Meenakshi Sundaram, A Ajil, N Ramakrishnan International Conference on Information, Communication and Computing … , 2023 2023 Citations: 5
ASRD: algorithm for spliced region detection in digital image forensics A Meenakshi Sundaram, C Nandini Computer Science On-line Conference, 87-95 , 2017 2017 Citations: 5
Feature based image authentication using symmetric surround saliency mapping in image forensics SA Meenakshi, C Nandini International Journal of Computer Applications 104 (13), 43-51 , 2014 2014 Citations: 5
Investigational Study of Image Forensic Applications, Techniques and Research Directions. C Meenakshi Sundaram A,Nandini International Journal of Emerging Technology and Advanced Engineering 4 (8) , 2014 2014 Citations: 3
Bi-Cluster Based Analysis on Gene Ontology AA Meenakshi Sundaram A, Anooja Ali, S S Patil Milestone Transactions on Medical Technometrics 1 (1), 10–17 , 2023 2023 Citations: 2
Literature survey and an idea comprehension on prediction of hysterectomy in women using natural language processing and deep learning technique for electronic health record AN Kumar, A Meenakshi Sundaram SN Computer Science 4 (3), 255 , 2023 2023 Citations: 2
Deep learning based application in identifying originality of the hand written document using convolution neural network N Sneha, M Sundaram, N Preetham 2022 International Conference on Connected Systems & Intelligence (CSI), 1-8 , 2022 2022 Citations: 2
T5C: An Automated Paraphrase Generation to Address Minority Class Representation A Ali, DR Sarvamangala, C Rashmi, A Meenakshi Sundaram International Conference on Communication and Intelligent Systems, 353-364 , 2024 2024 Citations: 1
ECRAR: Mean Differential Variation-Based Dung Beetle Optimization for Internet of Things Networks Sundhararajulu, A Kollu, S Tadigotla, KS Ranadheer Kumar, ... International Conference on Wireless Communication and Internet of … , 2024 2024
Human activity recognition based on deep convolutional neural network V Anand, M Sundaram AIP Conference Proceedings 2742 (1), 020099 , 2024 2024
A Novel Method for Fruit Detection and Calorie Estimation using CNN. J Chalikar, M Sundaram Journal of Advanced Zoology 44 , 2023 2023
Artificial Intelligence-Based Chronic Kidney Disease Prediction—A Review AM Amaresh, A Meenakshi Sundaram Proceedings of Third International Conference on Sustainable Expert Systems … , 2023 2023
Integration of Cloud-Sensor Based Framework for Predictive Analysis for Accelerating Knowledge Gain in Agriculture MSRR S. N International Conference on Recent Advances in Information Technology for … , 2023 2023
Recognition and Classification of Diabetic Retinopathy using Retinal Fundus Images MSA Anand M GRENZE International Journal of Engineering &Technology, GIJET 8 (2), 912-916 , 2022 2022
Deep Learning Based Application in Identifying Originality of the Hand Written Document using Convolution Neural Network MSPN P. M. O, S. N International Conference on Connected Systems & Intelligence (CSI), 2022, pp … , 2022 2022
