Deepa D

Scopus Publications

Aural Eyes: A Transformer-Driven Multimodal Visual-to-Auditory Perception Framework Integrating YOLO26 and ViT-LSTM for Assistive Scene Understanding
Nivethini S, Nivetha P P, D Deepa
Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026, 2026
The physically challenged, that is, the blind people wrestle with the interpretation and communication with the environment considerably, thus real-time assistive technology is required. This paper proposes Aural Eyes which is a hybrid object detection and classification system that is used to transform visual information into auditory information. The model combines high-performance object localization through the use of the YOLO26 OpenCV-based pre-processing, object localization, and a Vision Transformer (ViT) with LSTM to classify the image at the fine phase. OpenCV allows increasing the quality of the image with noise removal, contrast enhancement and geometric deformation, whereas YOLO26 supports bounding boxes of high speed and accuracy in the absence of post-processing NMS. ViT-LSTM module is a module that captures global spatial features as well as the temporal dependency and finest object recognition especially in cluttered or dynamic environments. Experimental analysis shows that it has been determined that there are better-detected results, fewer false addicts and more adaptive to qualified datasets than standalone YOLO26. The modular arrangement provides real-time functionality and thus the system can be implemented in assistive devices that avail smart auditory feedback to a visually impaired user.
Intelligent Ridge Path Planning for Agriculture Robot Using Modified Q-Learning Algorithm
A. Sivasangari, V. J. K. Kishor Sonti, J. Cruz Antony, E. Murali, D. Deepa, A. Happonen
Computers Materials and Continua, 2026
In the past two decades, Precision Agriculture has received research attention since the development of robotics. Agricultural robotic equipment and drones, which can be operated by farmers, are appearing more frequently and being used to make the process of farming easier and more productive. This paper attempts to develop a modified Q-learning algorithm. A reinforcement learning algorithm called Q-learning has Q-values that are updated in order to find the best routes for the robotic devices to follow while avoiding any obstacles. Different types of terrain and other factors that influence the development of good routes for the robotic devices are included in the experiments performed. Through an extensive set of experiments done with different types of terrain the researchers found that the modified Q-learning algorithm converges to the optimal path significantly quicker than the current benchmark Deep Q-Network (DQN) algorithms and that the average distance that the modified Q-learning algorithm travels to get to its destination over different terrane types was 28.7% shorter than the average distance traveled using the standard DQNs. The researchers also found that the modified Q-learning algorithm has been able to successfully avoid obstacles on 99.5% of all occasions tested. The shortest route to the destination is expected to take less time, and it demonstrates the benefit of using a robotic device that has the ability to detect and avoid obstacles in order to be effective on more difficult types of terrain.
Road accident spot prediction with multiple deep learning
Petla Siddhartha, Vinay Babu Pasasla, D. Deepa
Aip Conference Proceedings, 2025
Blockchain hashing prototype of blockchain mining and hashing with the help of secured hashing algorithm of SHA256 bits
C. Geetha, S. Bhuvaneshwaran, S. Don Inigo, D. Deepa
Aip Conference Proceedings, 2025
Personal identity security system using blockchain
R. Lalitha, Thota Sai Nath, V. Hanuman Sai, D. Deepa
Aip Conference Proceedings, 2025
Cardio sentinel prognosticator using ML
A. Arul Prakash, S. Hemalatha, D. Deepa, Ravee, Rahul
Aip Conference Proceedings, 2025
Innovative certificate and signature verification system for authentication and fraud detection
A. Sivasangari, Suji Helen, D. Deepa, R. Vignesh, P. Indrareddy, Jetti Chandra Hasini
Aip Conference Proceedings, 2025
Python-powered cloud security hub: Collaborative threat intel sharing
D. Deepa, A. Sivasangari, B. Shivakumar, R. E. Sheerapthi Nath, R. Vignesh, E. Murali
Aip Conference Proceedings, 2025
Data Transformation and Predictive Analytics of Cardiovascular Disease Using Machine and Ensemble Learning Techniques
, J. Cruz Antony, E. Murali, D. Deepa, R. Vignesh, S. Hemalatha, Umme Fahad
International Journal of Intelligent Systems and Applications, 2025
About one person dies every minute from cardiovascular disease; consequently, it has almost surpassed war as the largest cause of death in the twenty-first century. In cardiology, early and accurate diagnosis of heart illness is a cornerstone of effective healthcare. Predictive analytics, which involves machine-learning algorithms, can be a great option for contributing towards the early detection of cardiovascular disease. This study evaluates the data preprocessing techniques involved in building machine learning models to predict cardiovascular disease and identify the features contributing to the cardio attack. A novel data transformation technique named the superlative boundary binning method was proposed to enhance machine learning and ensemble learning classification models for predicting cardiac illness based on independent physiological feature parameters. The results revealed that the ensemble learning classifier AdaBoost using the superlative boundary binning method has performed well with a classification accuracy of 93% when compared with the other data transformation and machine learning classifier models.
Generative AI-Enhanced Deep Learning for Glaucoma: A Framework for Early Detection and Progression Forecasting
Deepa D, R Pugalenthi
Proceedings of 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks Icecmsn 2025, 2025
Glaucoma is still a leading cause of permanent blindness, and artificial intelligence (AI) has the potential to be used to detect the disease at an early stage. Nevertheless, the current constraints of ophthalmic datasets in the development of deep learning (DL) models are devastating because they are small, unheterogeneous, and cross-sectional in nature. To address these data-centric bottlenecks, this paper suggests a new framework to be implemented with the help of generative AI. We present a procedure by which large-scale, high-fidelity syn- thetic data of color fundus photographs and optical coherence tomography (OCT) scans might be produced using Generative Adversarial Networks (GANs). This is not only a way of overcoming data scarcity and bias in representation, but also allows the synthesis of longitudinal data to model the progression of a disease. Such enhanced datasets will be trained on the models of advanced DLs: a Vision Transformer (ViT) to detect the early signs and a spatiotemporal Convolutional Long Short-Term Memory (ConvLSTM) network to predict the progression. Such models should perform much better than models trained using real data alone especially with respect to their extrapolation to a wide range of real-world clinical environments. This framework will generate credible, precise, and fair AI tools by incorporating explainable AI (XAI) methods, which will lead to customized and predictive glaucoma care.
Classification of Brain Stroke and Normal Brain MRIs using MobileNet Deep Learning Model
B. Gokul, K. V. L. Yashwanth, D. Deepa
Proceedings of the 7th International Conference on Intelligent Sustainable Systems Iciss 2025, 2025
Event Causality Insights Through AI
Kantu Jahnavi, Venkat Saladi, D. Deepa
Proceedings of 3rd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2025, 2025
Fingerprint Revelation: Unveiling the Brilliance of Biometric Identity with SpatioTemporalNet
International Journal of Intelligent Engineering and Systems, 2025
Future Directions for Surgical Robots in Smart Hospitals
A. Sivasangari, V.J.K. Kishore Sonti, J. Cruz Antony, E. Murali, D. Deepa
Surgical Robots in Smart Hospitals, 2025
Image Super-Resolution Using Auto Encoders
K. Sandhya Rani, Pancheti Bhavya, R. Vignesh, E. Murali, D. Deepa, J. Cruz Antony
Proceedings of 8th International Conference on Trends in Electronics and Informatics Icoei 2025, 2025
Personal identification using human ear recognition system
R. Vignesh, S. Sivasangari, D. Deepa, E. Murali, S. Hemalatha, N. Priyanka
Aip Conference Proceedings, 2024
AI-Based Localization and Classification of Skin Disease
A. Sivasangari, R.M. Gomathi, Deepa D., P. Ajitha, Tamilvavanan, Suji Helen, Anandhi
E3s Web of Conferences, 2024
ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection
D Deepa, A Sivasangari
Multimedia Tools and Applications, 2024
Deep Learning Based Automatic Detection of Bike Riders with No Helmet
A Sivasangari, T Sasikala, D Deepa, S Gowri, Nirmal Rani
2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
Early detection of Alzheimer's using artificial intelligence for effective emotional support systems
A. Sivasangari, V. J. K. Kishor Sonti, L. Suji Helen, D. Deepa, T. Samraj Lawrence
Machine Learning Algorithms Using Scikit and Tensorflow Environments, 2023
Performance Analysis of Metamaterial Patch Antenna Characteristics for Advanced High-Speed Wireless System
A. Sivasangari, D. Deepa, P. Ajitha, R. M. Gomathi, R. Vignesh, Sathish kumar Danasegaran, S. Poonguzhali
Journal of Electronic Materials, 2023
An effective detection and classification of road damages using hybrid deep learning framework
D. Deepa, A. Sivasangari
Multimedia Tools and Applications, 2023
Pothole Detection using Roboflow Convolutional Neural Networks
D. Deepa, A. Sivasangari, Rahul Roonwal, Rajeev Nayan
Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
Enhancing Agricultural System and Agro Food Transportation Management Using IoT
T. Anandhi, P. Malathi, D. Deepa, M. S. Roobini, G. Nagarajan
Lecture Notes in Networks and Systems, 2023
Convolutional Neural Network Algorithm for Lung Cancer Identification from X-Ray Images
A. Sivasangari, Salman Khan, D. Deepa, J. Jabez, Anandhi T, Vignesh R
Proceedings 2023 3rd International Conference on Pervasive Computing and Social Networking Icpcsn 2023, 2023
Predicting health insurance claim frauds using supervised machine learning technique
Veena K, Supriya S, D Deepa, J Cruz Antony, G M Karpura Dheepan, Ayila Sri Dharma Siva Pavan, PagadalaHariprasad
Proceedings of 8th IEEE International Conference on Science Technology Engineering and Mathematics Iconstem 2023, 2023
Authentication of Digital Document using Blockchain
D Deepa, G.M. Karpura Dheepan, R Yogitha, K Veena, M Selvi, K Rahul Srithar, A S Abdul Rahman
2023 2nd International Conference on Advances in Computational Intelligence and Communication Icacic 2023, 2023
Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities
Suja Cherukullapurath Mana, B. Keerthi Samhitha, D. Deepa, R. Vignesh
Lecture Notes on Data Engineering and Communications Technologies, 2022
Design and Development of Enhanced Secured Video Communication System for Medical Video Sensor Network
A. Sivasangari, D. Deepa, R. Vignesh, Suja C. Mana, B. Keerthi Samhitha
Lecture Notes in Electrical Engineering, 2022
Integrated Security Framework for Healthcare Using Blockchain and Fog Computing
A. Sivasangari, V J K Kishor Sonti, P. Ajitha, D. Deepa, R. Vignesh
2022 2nd International Conference on Power Electronics and Iot Applications in Renewable Energy and Its Control Parc 2022, 2022
Hybrid Algorithm for Security of Data Over Wireless Transfer with Disease Prediction in Machine Learning
Deepa. D, Vignesh. R, GowriManohari. V, Mecnil Jenifer. Y, Nithya. S, Daphine Desona C.A Clemency
International Conference on Sustainable Computing and Data Communication Systems Icscds 2022 Proceedings, 2022
Deep Learning Modeling Using Normal Mammograms for Predicting Breast Cancer
A. Sivasangari, D. Deepa, T. Anandhi, Suja Cherukullapurath Mana, R. Vignesh, B. Keerthi Samhitha
Lecture Notes on Data Engineering and Communications Technologies, 2022
A Survey on Organic Agro Data Towards Agriculture Using Data Mining
Murali E, Vignesh R, Deepa D, Priyanka N, Hemalatha S, Rajashree S
Pdgc 2022 2022 7th International Conference on Parallel Distributed and Grid Computing, 2022
Gene Expression Analysis on Cancer Dataset
R. Vignesh, D. Deepa, Suja Cherukullapurath Mana, B.Keerthi Samhitha, Anandhi. T
Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
IoT and Machine Learning Based Smart Grid System
A. Sivasangari, D. Deepa, Lakshmanan L, Jesudoss A, Vignesh R
2021 5th International Conference on Computer Communication and Signal Processing Icccsp 2021, 2021
Big data analytics for 5G-enabled iot healthcare
A. Sivasangari, L. Lakshmanan, P. Ajitha, D. Deepa, J. Jabez
Blockchain for 5g Enabled Iot the New Wave for Industrial Automation, 2021
Secure K-NN query on encrypted cloud data with multiple keys
R. Vignesh, D. Deepa, Suja Cherukullath Mana, B. Keerthi Samhitha
Journal of Physics Conference Series, 2021
Prediction Probability of Getting an Admission into a University using Machine Learning
A. Sivasangari, V. Shivani, Y. Bindhu, D. Deepa, R. Vignesh
Proceedings 5th International Conference on Computing Methodologies and Communication Iccmc 2021, 2021
Threat Level Detection in Android Platform Using Machine Learning Algorithms
D. Deepa, Sachitananda Jena, Yadavalli Ganesh, M. S. Roobini, Anitha Ponraj
Lecture Notes in Electrical Engineering, 2021
Data Deduplication on Multi-domain Big Data to Overcome Communication Overheads
D. Deepa, Yunus Parvez, Y. Dheeraj, Anitha Ponraj, M. S. Roobini
Lecture Notes in Electrical Engineering, 2021
EEG-based computer-aided diagnosis of autism spectrum disorder
A. Sivasangari, Kishore Sonti, Grace Prince Kanmani, Sindhu, D. Deepa
Cognitive Systems and Signal Processing in Image Processing, 2021
An artificial intelligence mediated integrated wearable device for diagnosis of cardio through remote monitoring
A. Sivasangari, R. Subhashini, S. Poonguzhali, Immanuel Rajkumar, J.S. Vimali, D. Deepa
Cognitive Systems and Signal Processing in Image Processing, 2021
Eyeball based Cursor Movement Control
A Sivasangari., D Deepa., T Anandhi., Anitha Ponraj, M.S Roobini.
Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
Dynamic enforcement of causal consistency for a geo-replicated cloud storage system
International Journal of Electrical Engineering and Technology, 2020
Visualizing road damage by monitoring system in cloud
Deepa D., R. Vignesh, Sivasangari A, Suja Cherukullapurath Mana, B. Keerthi Samhitha, Jithina Jose
International Journal of Electrical Engineering and Technology, 2020
Security and privacy in wireless body sensor networks using lightweight cryptography scheme
A. Sivasangari, A. Ananthi, D. Deepa, G. Rajesh, X. Mercilin Raajini
Security and Privacy Issues in Iot Devices and Sensor Networks, 2020
Gridlock surveillance and management system
M. V. Ishwarya, D. Deepa, S. Hemalatha, A. Venkata Sai Nynesh, A. Prudhvi Tej
Journal of Computational and Theoretical Nanoscience, 2019

RECENT SCHOLAR PUBLICATIONS

Advanced Microplastic Identification in Marine Environments via Hybrid Deep Learning
D Deepa, SS Nivedha, AR Nivetha
2026 International Conference on Electronics and Renewable Systems (ICEARS … , 2026
2026
Predictive Analytics for Enhancing Student Learning Outcomes in Blended Learning Environments: A Systematic Review
M Mehfooza, IH Basha, SB Elghali, T Padmavathy, D Deepa
SN Computer Science 7 (1), 98 , 2026
2026
Intelligent Ridge Path Planning for Agriculture Robot Using Modified Q-Learning Algorithm
A Sivasangari, VJKK Sonti, JC Antony, E Murali, D Deepa, A Happonen
CMC-COMPUTERS MATERIALS & CONTINUA 87 (3) , 2026
2026
Future Directions for Surgical Robots in Smart Hospitals
A Sivasangari, VJKK Sonti, JC Antony, E Murali, D Deepa
Surgical Robots in Smart Hospitals, 599-625 , 2025
2025
Road accident spot prediction with multiple deep learning
P Siddhartha, VB Pasasla, D Deepa
AIP Conference Proceedings 3257 (1), 020132 , 2025
2025
Innovative certificate and signature verification system for authentication and fraud detection
A Sivasangari, S Helen, D Deepa, R Vignesh, P Indrareddy, JC Hasini
AIP Conference Proceedings 3257 (1), 020044 , 2025
2025
Python-powered cloud security hub: Collaborative threat intel sharing
D Deepa, A Sivasangari, B Shivakumar, RES Nath, R Vignesh, E Murali
AIP Conference Proceedings 3257 (1), 020104 , 2025
2025
Citations: 2
Blockchain hashing prototype of blockchain mining and hashing with the help of secured hashing algorithm of SHA256 bits
C Geetha, S Bhuvaneshwaran, S Don Inigo, D Deepa
AIP Conference Proceedings 3257 (1), 020092 , 2025
2025
Personal identity security system using blockchain
R Lalitha, T Sai Nath, VH Sai, D Deepa
AIP Conference Proceedings 3257 (1), 020093 , 2025
2025
Cardio sentinel prognosticator using ML
AA Prakash, S Hemalatha, D Deepa, Ravee, Rahul
AIP Conference Proceedings 3257 (1), 020024 , 2025
2025
Event Causality Insights Through AI
K Jahnavi, V Saladi, D Deepa
2025 Third International Conference on Augmented Intelligence and … , 2025
2025
Image Super-Resolution Using Auto Encoders
KS Rani, P Bhavya, R Vignesh, E Murali, D Deepa, JC Antony
2025 8th International Conference on Trends in Electronics and Informatics … , 2025
2025
Data Transformation and Predictive Analytics of Cardiovascular Disease Using Machine and Ensemble Learning Techniques
JC Antony, E Murali, D Deepa, R Vignesh, S Hemalatha, U Fahad
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS AND APPLICATIONS 17 (1), 88-97 , 2025
2025
A novel trust assessment system for online social networking environment using learning assisted classification model
S Nithya, D Deepa, VD Babu, H Fawareh, RD Kayalvizhy
2024 International Conference on Innovative Computing, Intelligent … , 2024
2024
Citations: 22
Deep Learning Based Automatic Detection of Bike Riders with No Helmet
A Sivasangari, T Sasikala, D Deepa, S Gowri, N Rani
2024 15th International Conference on Computing Communication and Networking … , 2024
2024
Citations: 1
PRS-UBR: Product Recommender System Using Utility-Based Recommendation
J Cruz Antony, I Thanzia Raksheen, PS Raj, D Deepa, R Vignesh
International Conference on Innovations and Advances in Cognitive Systems, 52-62 , 2024
2024
Personal identification using human ear recognition system
R Vignesh, S Sivasangari, D Deepa, E Murali, S Hemalatha, N Priyanka
AIP Conference Proceedings 2850 (1), 030012 , 2024
2024
Mobile veggie detector: real-time detection of vegetables through mobile application and deep learning
TV Shreenithi, V Shreemathi
2024 10th International Conference on Advanced Computing and Communication … , 2024
2024
Citations: 5
Ballot Casting System using Blockchain Technology
KM Reddy, KK Sai, D Deepa
2024 3rd International Conference on Sentiment Analysis and Deep Learning … , 2024
2024
ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection
D Deepa, A Sivasangari
multimedia Tools and Applications 83 (2), 5099-5129 , 2024
2024
Citations: 24

MOST CITED SCHOLAR PUBLICATIONS

An effective detection and classification of road damages using hybrid deep learning framework
D Deepa, A Sivasangari
Multimedia Tools and Applications 82 (12), 18151-18184 , 2023
2023
Citations: 83
Integrated security framework for healthcare using blockchain and fog computing
A Sivasangari, VJKK Sonti, P Ajitha, D Deepa, R Vignesh
2022 2nd international conference on power electronics & IoT applications in … , 2022
2022
Citations: 52
Big data analytics for 5G-enabled IoT healthcare
A Sivasangari, L Lakshmanan, P Ajitha, D Deepa, J Jabez
Blockchain for 5G-Enabled IoT: The New Wave for Industrial Automation, 261-275 , 2021
2021
Citations: 49
EEG-based computer-aided diagnosis of autism spectrum disorder
A Sivasangari, K Sonti, GP Kanmani, D Deepa
Cognitive Systems and Signal Processing in Image Processing, 277-292 , 2022
2022
Citations: 47
Blockchain for 5G-Enabled IoT
A Sivasangari, L Lakshmanan, P Ajitha, D Deepa, J Jabez, S Tanwar
Springer, Cham. , 2021
2021
Citations: 36
Pothole detection using roboflow convolutional neural networks
D Deepa, A Sivasangari, R Roonwal, R Nayan
2023 7th International Conference on Intelligent Computing and Control … , 2023
2023
Citations: 35
Security and privacy in wireless body sensor networks using lightweight cryptography scheme
A Sivasangari, A Ananthi, D Deepa, G Rajesh, XM Raajini
Security and privacy issues in IoT devices and sensor networks, 43-59 , 2021
2021
Citations: 35
Eyeball based cursor movement control
A Sivasangari, D Deepa, T Anandhi, A Ponraj, MS Roobini
2020 International Conference on Communication and Signal Processing (ICCSP … , 2020
2020
Citations: 30
Cloud-computed solar tracking system
G Govinda Rajulu, M Jamuna Rani, D Deepa, U Mamodiya, ...
Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021 … , 2022
2022
Citations: 28
Operating parameters prediction of liquefied petroleum gas refrigerator using simulated annealing algorithm
B Sampath, M Pandian, D Deepa, R Subbiah
AIP Conference Proceedings 2460 (1), 070003 , 2022
2022
Citations: 28
Prediction probability of getting an admission into a university using machine learning
A Sivasangari, V Shivani, Y Bindhu, D Deepa, R Vignesh
2021 5th international conference on computing methodologies and … , 2021
2021
Citations: 27
ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection
D Deepa, A Sivasangari
multimedia Tools and Applications 83 (2), 5099-5129 , 2024
2024
Citations: 24
A novel trust assessment system for online social networking environment using learning assisted classification model
S Nithya, D Deepa, VD Babu, H Fawareh, RD Kayalvizhy
2024 International Conference on Innovative Computing, Intelligent … , 2024
2024
Citations: 22
Dynamic enforcement of causal consistency for a geo-replicated cloud storage system
R Vignesh, D Deepa, P Anitha, S Divya, S Roobini
International Journal of Electrical Engineering and Technology 11 (3) , 2020
2020
Citations: 22
Visualizing road damage by monitoring system in cloud
D Deepa, R Vignesh, A Sivasangari, SC Mana, BK Samhitha, J Jose
International Journal of Electrical Engineering and Technology 11 (4), 191-203 , 2020
2020
Citations: 22
Prediction of lung cancer using convolutional neural network (CNN)
BK Samhitha, SC Mana, J Jose, R Vignesh, D Deepa
International Journal 9 (3) , 2020
2020
Citations: 21
Gridlock surveillance and management system
MV Ishwarya, D Deepa, S Hemalatha, A Venkata Sai Nynesh, ...
Journal of Computational and Theoretical Nanoscience 16 (8), 3281-3284 , 2019
2019
Citations: 15
Segmentation of shopping mall customers using clustering
D Deepa, A Sivasangari, R Vignesh, N Priyanka, J Cruz Antony, ...
Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2022, 619-629 , 2022
2022
Citations: 13
Car accident detection and notification system using smartphone
MS Roobini, S Mulakalapally, N Mungamuri, M Lakshmi, A Ponraj, ...
Journal of Computational and Theoretical Nanoscience 17 (8), 3389-3393 , 2020
2020
Citations: 12
A Design Framework for Smart Ration Shop Using Blockchain and IoT Technologies.
D Malathi, V Ponnusamy, S Saravanan, D Deepa, TA Ahanger
Intelligent Automation & Soft Computing 32 (1) , 2022
2022
Citations: 9

Deepa D

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS