Dr. J. Deny holds an impressive academic background and has made significant contributions in the field of electronics and communication engineering, particularly focusing on image processing, network security, and innovation techniques in entrepreneurship. Here's a concise summary of his educational and professional journey:Dr. J. Deny earned his Bachelor of Engineering (B.E.) degree in electronics and communication engineering from Anna University in 2010. In 2012, he obtained a Master of Technology (M.Tech.) degree in digital communication and networks from the Kalasalingam Academy of Research and Education.
Dr. Deny pursued his passion for research and completed his Ph.D. in the field of image processing and network security at the Bharath Institute of Higher Education and Research in 2017.Currently, he is engaged in a Post-Doctoral Fellowship program with a focus on Innovation and Entrepreneurship at the Kazimierz Pulaski University of Technology and Humanities in Radom, Poland
EDUCATION
B.E.,M.., (PDF)
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Management of Technology and Innovation, Signal Processing, General Engineering
73
Scopus Publications
931
Scholar Citations
17
Scholar h-index
32
Scholar i10-index
Scopus Publications
AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms Jins Sebastian, J. Deny, S. N. Kumar Ksii Transactions on Internet and Information Systems, 2025 The advancements in imaging techniques have improved the diagnostics in health care and medicine.The magnitude of MRI volumetric data sets remains a challenge with storage space, real-time processing, and communication, especially in edge computing environments that have limited resources.To tackle these issues, we suggest a new artificial intelligence-based optimisation of an autoencoder network architecture that combines spectral data augmentation with feature extraction using discrete wavelet transform on the brain MRI images for data compression and encryption.The system is optimised for edge deployment on NVIDIA Jetson TX2 platforms, allowing real-time processing at low power consumption.The proposed convolutional autoencoder encodes and decodes the MRI images while minimizing the reconstruction loss.It uses spectral data augmentation to improve overfitting and generalisation, while DWT further improves compression efficiency through multi-resolution feature extraction.The proposed model's compression performance and image reconstruction accuracy are evaluated with various parameters, achieving a compression ratio of 33.25 and a compression factor of 0.0625 with a mean squared error of 0.000445, a peak signal-to-noise ratio of 33.51 dB.Additionally, a structural similarity index of 0.9956 confirms that the model reconstructs images with a high preservation of detail, which is necessary for capturing critical diagnostic data.The deployment of the developed model on the NVIDIA Jetson TX2 GPU platform emphasizes computational efficiency and real-time execution, making the system suitable for telemedicine, remote diagnostics, and embedded AI healthcare applications.
AUTOMATED SKIN LESION SEGMENTATION THROUGH HARMONIZING DERMOSCOPIC IMAGES WITH FUSION-BASED WHITE BALANCING Journal of Theoretical and Applied Information Technology, 2025
Comprehensive review of kalasalingam technology business incubator startup program and startup olis Deny John Samuvel, R. Sekar, Jerzy R. Szymański, Marta Żurek-Mortka, Mithileysh Sathiyanarayanan Multidisciplinary Reviews, 2025 This research paper offers a comprehensive comparative analysis of two prominent startup incubator programs: the Kalasalingam Technology Business Incubator (KTBI) at Kalasalingam Academy of Research and Education in India, and Startup Olis in Europe. The study explores each program's structure, objectives, and unique contributions to regional and global entrepreneurial ecosystems. KTBI focuses on fostering sustainable innovation by providing financial assistance, state-of-the-art facilities, and dedicated mentorship. Its core mission is to bolster regional economic growth, particularly through initiatives centered on renewable energy and waste management, thus aligning with sustainability goals. In contrast, Startup Olis provides a global platform for emerging businesses across diverse sectors, prioritizing international networking, access to global investment channels, and guidance from industry leaders worldwide. This incubator aims to support scalable ventures with high potential, positioning startups to make a significant mark on international markets. By contrasting these two programs, this paper examines how each contributes to economic development within their respective operational frameworks. The findings highlight the strengths and opportunities inherent in each approach, revealing insights into how localized and globalized incubators shape the growth of startups and influence industry standards. Ultimately, this study underscores the importance of tailored incubation strategies in fostering entrepreneurship and innovation on both a regional and global scale.
Aperture coupled elliptic patch nanoantenna for low-cost interchip/intrachip optical-wireless communication Tulasi Ramachandran Sangeeta, Deny John Samuvel International Journal of Communication Systems, 2025 SummaryThis research proposes a novel low‐cost aperture coupled elliptic patch nanoantenna which works best when it has a stable radiation pattern and good gain. On the upper portion of the substratum, a cross‐shaped hole was additionally engraved from a metallic strip with a silver composition. Elliptical‐shaped silicon material is employed as a patch in this antenna design which is made on a substrate made of inexpensive glass epoxy. The silver substance makes up the nanometallic strip line at the substrate's base. A cross‐shaped hole has also been etched from a metallic strip with a silver composition on the upper section of the substrate. As the foam substrate to be used in between the feed and antenna substrates, Rohacell was adopted. A proposed simple cross‐shaped aperture enhanced the bandwidth of the planned antenna without degrading its radiation performance and is loaded on a proximity‐linked elliptical microstrip antenna. To achieve the highest coupling, the lowest back radiation, the least amount of spurious radiation, and good efficiency, the patch and feed line are positioned in the middle, at a right angle over the slot. The proposed antenna was simulated in HFSS, and optimum results were observed from the output. The results were evaluated based on radiation pattern, return loss, smith chart, radiation efficiency, and 3D polar plot for 300, 500, and 800 THz frequencies. Also, the impedance bandwidth, gain, and a number of bands were compared with other conventional methods and our proposed method proved to outperform the existing method in all aspects.
Building Human Capabilities for an Increasingly Complex Entrepreneurial Ecosystem Deny John Samuvel, J. Szymański, Marta Żurek-Mortka, Mithileysh Sathiyanarayanan Foresight and Sti Governance, 2024 The topic of nurturing specific entrepreneurial human capital acquires new relevance as the prospects for economic development in a changing context are associated with it. Relying on a solid base of knowledge, competencies, and progressive tools would allow young professionals to produce decent results in complex entrepreneurial ecosystems. Consequently, close attention is paid to the content of entrepreneurial education. This article analyzes the dynamics of the emerging research landscape regarding entrepreneurial education. The new context calls for a revision and adjustment of training programs based on many factors. The most common topics of discussion are the following: the transition from formal to creative, hybrid learning that combines different formats and learning styles, the holistic study of the contradictory nature of innovation processes, and the development of entrepreneurial thinking and behavior through previously untouched deep cognitive dimensions. The case of the Kalasalingam Academy of Research and Education (KARE) in India on training entrepreneurs and their adaptation to entrepreneurial ecosystems of different levels and complexity is presented.
Secure deep learning-based energy efficient routing with intrusion detection system for wireless sensor networks M. Sakthimohan, J. Deny, G. Elizabeth Rani Journal of Intelligent and Fuzzy Systems, 2024 In general, wireless sensor networks are used in various industries, including environmental monitoring, military applications, and queue tracking. To support vital applications, it is crucial to ensure effectiveness and security. To prolong the network lifetime, most current works either introduce energy-preserving and dynamic clustering strategies to maintain the optimal energy level or attempt to address intrusion detection to fix attacks. In addition, some strategies use routing algorithms to secure the network from one or two attacks to meet this requirement, but many fewer solutions can withstand multiple types of attacks. So, this paper proposes a secure deep learning-based energy-efficient routing (SDLEER) mechanism for WSNs that comes with an intrusion detection system for detecting attacks in the network. The proposed system overcomes the existing solutions’ drawbacks by including energy-efficient intrusion detection and prevention mechanisms in a single network. The system transfers the network’s data in an energy-aware manner and detects various kinds of network attacks in WSNs. The proposed system mainly comprises two phases, such as optimal cluster-based energy-aware routing and deep learning-based intrusion detection system. Initially, the cluster of sensor nodes is formed using the density peak k-mean clustering algorithm. After that, the proposed system applies an improved pelican optimization approach to select the cluster heads optimally. The data are transmitted to the base station via the chosen optimal cluster heads. Next, in the attack detection phase, the preprocessing operations, such as missing value imputation and normalization, are done on the gathered dataset. Next, the proposed system applies principal component analysis to reduce the dimensionality of the dataset. Finally, intrusion classification is performed by Smish activation included recurrent neural networks. The proposed system uses the NSL-KDD dataset to train and test it. The proposed one consumes a minimum energy of 49.67 mJ, achieves a better delivery rate of 99.92%, takes less lifetime of 5902 rounds, 0.057 s delay, and achieves a higher throughput of 0.99 Mbps when considering a maximum of 500 nodes in the network. Also, the proposed one achieves 99.76% accuracy for the intrusion detection. Thus, the simulation outcomes prove the superiority of the proposed SDLEER system over the existing schemes for routing and attack detection.
Proactive Delay Aware Self-scheduling Protocol (PDAS2P) for Edge Enabled Network Slicing in 6G Networks International Journal of Intelligent Engineering and Systems, 2024 The development of communication network connects all over the world in device driven technology through 6G.With the development of 6G defense, the problems in the Network of resources in edge computing cause latency dependencies.The main problem is switch-to-switch way has connection disappointment, and numerous packets can get lost.Along these lines, some kinds of connection quality checking and way recuperation plans are expected to conquer the connection disappointment.To propose a Proactive Delay Aware Self-Scheduling Protocol (PDAS2P) for Edge Enabled network slicing in 6G Networks.The proposed method initially analysis the Congestion Aware Neighbor Discovery (CAND) based on optimized energy levels in the node for efficient data transfer.Then the Hyper Intensive Link Stability Rate (HILSR) estimates table-driven routing information to stabilize the transmission route.Based on that estimation, the Pipelined Time Variant Transmission Rate (PTVTR) is calculated by transmission in each duty cycle to improve the transmission delays by assigning priorities on operative routing in multi-point consideration.Then Proactive Delay Aware Self-Scheduling Protocol (PDAS2P) is attained to the frequency limits of transmission rate to allocate the route and improve Quality of Service (QoS).The proposed 6G-QoS framework has been implemented in the 6G network communication-based scheduling.The simulation result throughput performance is 99% and routing performance is 99% for 100 nodes.It provides high accuracy of QoS prediction and has been validated by comparing the predicted QoS values with other methods like Energy Efficient Resource Allocation Model (EERAM), Main Task Off-loading Scheduling Algorithm (MTOSA), and Improved Multi Objective Cuckoo Search (IMOCS).
Inter/Intra-Chip Optical Wireless Communication with Robust Plasmonic Nanoantenna Design T Sangeeta, J Deny, D Baranov, D Zuev, S Lepeshov, et al. Nanosistemi Nanomateriali Nanotehnologii, 2024 This research aims to improve antenna efficiency in inter/intra-chip optical wireless communication by utilizing plasmonic materials.The proposed model uses an AgSi ground plane with a silver-coated silicon cube, which mitigates interband transition, while enhancing plasmonic resonance.A planar plasmonic substrate with atomic MoS 2 on a silver surface acts as a barrier against unwanted molecule infiltration, preventing interband transition.A novel bi-rhombic hybrid nanostrip waveguide is introduced, featuring two parallel rhombic layers with a hybrid Ag-silicon ribbon material to mitigate ohmic losses and enhance propagation.The rhombic configuration reduces ohmic losses and optimally amplifies light intensity.The antenna performance is simulated and evaluated using ANSYS HFSS 2019 R3 software, revealing superior performance compared to conventional models, validating its efficacy in inter/intra-chip optical wireless communication applications.
IoT-based Sweat Glucose Monitoring System J. Deny, P Rajalakshmi, P Nagaraj Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
Inshort Text Summarization of News Article J. Deny, Siva Kamisetty, Harsha Vardhan Reddy Thalakola, Jagadeesh Vallamreddy, Vijay Kumar Uppari Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
10 GB MAC Core Verification Monitor Module J. Deny, M Dinesh Ram., C Satheesh., B Suryakumar, Omkar Rushikesh Mekala Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
Smart Agriculture using Bio-Sensors and AI B. Perumal, V. Bargavram, M. Bala Atharsh, Manoranjan Kumar, Deny. J, Rajesh V 2nd International Conference on Automation Computing and Renewable Systems Icacrs 2023 Proceedings, 2023
Automation of Glucose Control for Type-2 Diabetes Mellitus J. Deny, P. Rajalakshmi, V. Muneeswaran, R. Raja Sudharsan, P Nagaraj 3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
Detection of Osteoarthritis by using Multiple Edge Detections J. Deny, B. Perumal, P. Nagaraj, K. Alekhya, V. Maneesha, S. Amarnath Reddy Proceedings 2022 6th International Conference on Intelligent Computing and Control Systems Iciccs 2022, 2022
Air Pollution Monitoring System by using Arduino IDE B. Perumal, J. Deny, K. Alekhya, V. Maneesha, M. Vaishnavi Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems Icesc 2021, 2021
Detection of Food Adulteration using Arduino IDE B. Perumal, Subash Balaji A, Vijaya Dharshini M, Aravind C, J. Deny, R Rajasudharsan Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems Icesc 2021, 2021
Facial recognition for Visually Challenged People J. Deny, Thirumuru Nikhil, R. Raja Sudharsan, B. Perumal, Prudhivi Puneeth, A. Venkatasai Mahesh Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, 2021
Trigonous Sheilding System For Women M Sakthimohan., Paccha Ruchitha, Kaipu Jefhanya Harshitha, Baldar Tharuni, G Elizabeth Rani., J Deny. Proceedings of IEEE International Conference on Signal Processing Computing and Control, 2021
Review on Brain MRI Segmentation Methods Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Anitha Narayanan, Pallikonda Rajasekaran Murugan, Arunprasath Thiyagarajan, Deny John Samuvel, Kannapiran Balasubramanian Lecture Notes in Electrical Engineering, 2021
An analysis of different biopotential electrodes used for electromyography Kalasalingam Academy of Research, Education, Krishnankoil 626126, India, R. Raja Sudharsan, J. Deny, Kalasalingam Academy of Research, Education, Krishnankoil 626126, India, E. Muthu Kumaran, Dr BR Ambedkar Institute of Technology, Pahargaon, Port Blair-744103, Andaman, Nicobar Islands, India, A. Sharon Geege, National Engineering College, Kovilpatti 628503, India Journal of Nano and Electronic Physics, 2020
Mathematical modeling and simulation of junction less dual material double gate MOSFET with various work functions Assistant Professor, Department of ECE, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, Tamilnadu, India, S. Darwin*, Dr.T.S.Arun Samuel, Associate Professor, Department of ECE, National Engineering College, Kovilpatti, Tamilnadu, India, Dr.E.Muthu Kumaran, Assistant Professor, Department of ECE, Dr.B.R.Ambedkar Institute of Technology, Port Blair, Andaman & Nicobar Islands, India, Dr. J. Deny, Associate Professor, Department of ECE, Kalasalingam Academy of Research, Education, Tamilnadu, India, International Journal of Innovative Technology and Exploring Engineering, 2019
Efficient methods of multimodal biometric security system- fingerprint authentication, speech and face recognition International Journal of Pharmacy and Technology, 2016
Automatic detection of exudates and microaneurysms from non-dilated diabetic retinopathy retinal mages International Journal of Pharmacy and Technology, 2016
Throughput-anonymity tradeoff for parallel relay networks International Journal of Pharmacy and Technology, 2016
Implementation of bidirectional DC-DC converter for aerospace applications International Journal of Pharmacy and Technology, 2016
Design detection of multiple spoofing attackers using ARP International Journal of Pharmacy and Technology, 2016
Frontiers in Medical Imaging: Brain Tumour Segmentation and Classification B Perumal, S Khan Sustainable Global Societies Initiative 1 (1) , 2026 2026
IoT-Enabled Smart Horticulture: Integrating Image Processing for Real-Time Environmental Monitoring and Disease Detection SK Oruganti, SK Gupta, B Perumal, DJ Samuvel Sustainable Global Societies Initiative 1 (1) , 2025 2025
Building Growth Hubs: The Influence of Entrepreneurial Ecosystem Architecture and Incubator Models on Innovation Performance SC Jenifa, SBI Ahamed, J Deny International Journal of Economic Practices and Theories, 726-734 , 2025 2025
Exploring the Challenges Faced by Young Entrepreneurs in Business Incubators K Srinivas, SBI Ahamed, J Deny International Journal of Economic Practices and Theories, 705-712 , 2025 2025
Intelligent AgriSense: A Synthesised Framework of IoT Systems and AI-Driven Image Processing for Real-Time Agricultural Intelligence DJ Samuvel, SK Oruganti, SK Gupta, B Perumal SGS-Engineering & Sciences 1 (4) , 2025 2025
Neural Network-Based Medical Image Compression: A Comparative Analysis of NNRBF and NNBP Techniques P BALASUBRAMANI SGS-Engineering & Sciences 1 (4) , 2025 2025
AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms J Sebastian, J Deny, SN Kumar KSII Transactions on Internet and Information Systems (TIIS) 19 (10), 3325-3344 , 2025 2025
Next-Generation Integration of AI-Driven Image Processing and IoT for Advanced Real-Time Environmental Monitoring and Sustainable Decision-Making DJ Samuvel, SK Oruganti, SK Gupta, B Perumal SGS-Engineering & Sciences 1 (2) , 2025 2025
Efficient Compression of Medical Images Using a Deep Learning Approach B Perumal SGS-Engineering & Sciences 1 (2) , 2025 2025
AUTOMATED SKIN LESION SEGMENTATION THROUGH HARMONIZING DERMOSCOPIC IMAGES WITH FUSION-BASED WHITE BALANCING P SHOBANA, J DENY, P SWAPNA Journal of Theoretical and Applied Information Technology 103 (9) , 2025 2025
A Comprehensive Survey on the Integration of Image Processing and IoT for Real-Time Environmental Monitoring and Decision-Making DJ Samuvel, SK Oruganti, SK Gupta, B Perumal SGS-Engineering & Sciences 1 (1) , 2025 2025
Traditional and Neural Network Approaches for Medical Image Compression: A Performance Evaluation P Balasubramani, S Khan SGS-Engineering & Sciences 1 (1) , 2025 2025 Citations: 1
Investigation on the electrochemical advantages of manganese vanadate nanoparticles decorated with reduced graphene oxide in supercapacitors M Babu, G Hariharan, S Bharathi, J Deny, A Arivarasan Diamond and Related Materials 155, 112302 , 2025 2025 Citations: 7
Intelligent Beamforming by Deep Reinforcement Learning for mmWave Massive MIMO by Implementing NOMA for Futuristic Communication R Nandhini, J Deny Sustainable Materials and Technologies in VLSI and Information Processing, 85-91 , 2025 2025 Citations: 3
Comprehensive review of kalasalingam technology business incubator startup program and startup olis DJ Samuvel, R Sekar, JR Szymański, M Żurek-Mortka, ... MULTIDISCIPLINARY REVIEWS Учредители: JABB-Journal of Animal Behaviour and … , 2025 2025 Citations: 2
Proactive Delay Aware Self-scheduling Protocol (PDAS2P) for Edge Enabled Network Slicing in 6G Networks. E Sangeetha, J Deny International Journal of Intelligent Engineering & Systems 17 (6) , 2024 2024 Citations: 3
Enhanced FPGA linear phase FIR filter with amalgam multiplier M Sakthimohan, J Deny, K Umapathi, HH Fayek International Journal of Electronics 111 (10), 1653-1678 , 2024 2024 Citations: 21
Building human capabilities for an increasingly complex entrepreneurial ecosystem DJ Samuvel, JR Szymański, M Żurek-Mortka, M Sathiyanarayanan Foresight and STI Governance 18 (3), 55-68 , 2024 2024 Citations: 3
2D Medical Image Compression Using Inception Deep Learning Neural Network J Sebastian, J Deny, SN Kumar International Conference on Mobile Radio Communications & 5G Networks, 97-109 , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
A review on electroencephalogram based brain computer interface for elderly disabled X Wan, K Zhang, S Ramkumar, J Deny, G Emayavaramban, ... IEEE Access 7, 36380-36387 , 2019 2019 Citations: 127
An Optimistic Design of 16-Tap FIR Filter with Radix-4 Booth Multiplier Using Improved Booth Recoding Algorithm M Sakthimohan, J Deny Microprocessors and Microsystems, 103453 , 2020 2020 Citations: 46
An Enhanced 8x8 Vedic Multıplier Design By ApplyingUrdhva-Tiryakbhyam Sutra JD M. Sakthimohan International Journal of Advanced Science and Technology 29 (5), 3348 - 3358 , 2020 2020 Citations: 36
An Efficient Design of 8* 8 Wallace Tree Multiplier Using 2 and 3-Bit Adders M Sakthimohan, J Deny Proceedings of International Conference on Sustainable Expert Systems: ICSES … , 2021 2021 Citations: 35
Field programmable gate array (FPGA)-based fast and low-pass finite impulse response (FIR) filter R Raja Sudharsan, J Deny Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS … , 2021 2021 Citations: 34
IOT based shrewd agronomy method M Sakthimohan, J Deny, GE Rani, J Mahendran, JAJ Ahmed, ... Materials Today: Proceedings , 2020 2020 Citations: 33
Secure deep learning-based energy efficient routing with intrusion detection system for wireless sensor networks M Sakthimohan, J Deny, GE Rani Journal of Intelligent & Fuzzy Systems 46 (4), 8587-8603 , 2024 2024 Citations: 28
Music recommendation system based on facial emotion recognition DJ Samuvel, B Perumal, M Elangovan 3C Tecnologia, 261-271 , 2020 2020 Citations: 28
Region based skull eviction techniques: an experimental review B Perumal, J Deny, S Devi, V Muneeswaran 2021 5th International Conference on Intelligent Computing and Control … , 2021 2021 Citations: 25
Air pollution monitoring system by using arduino IDE B Perumal, J Deny, K Alekhya, V Maneesha, M Vaishnavi 2021 Second International Conference on Electronics and Sustainable … , 2021 2021 Citations: 23
Trigonous sheilding system for women M Sakthimohan, P Ruchitha, KJ Harshitha, B Tharuni, GE Rani, J Deny 2021 6th International Conference on Signal Processing, Computing and … , 2021 2021 Citations: 22
Enhanced FPGA linear phase FIR filter with amalgam multiplier M Sakthimohan, J Deny, K Umapathi, HH Fayek International Journal of Electronics 111 (10), 1653-1678 , 2024 2024 Citations: 21
Forestry land cover segmentation of SAR image using unsupervised ILKFCM B Perumal, M Kalaiyarasi, J Deny, V Muneeswaran Materials today: proceedings , 2021 2021 Citations: 20
Comparison of CNN algorithms for feature extraction on fundus images to detect glaucoma V Sunanthini, J Deny, E Govinda Kumar, S Vairaprakash, P Govindan, ... Journal of Healthcare Engineering 2022 (1), 7873300 , 2022 2022 Citations: 19
An analysis of different biopotential electrodes used for electromyography RR Sudharsan, J Deny, EM Kumaran, AS Geege Sumy State University , 2020 2020 Citations: 19
Designing of low-cost spectrometer for sensor application G Likith, ND Jayram, B Yaswanth, D Sreekanth, J Deny, M Karuthapandi, ... Journal of Optics 50 (3), 489-494 , 2021 2021 Citations: 18
Traffic congestion control synchronizing and rerouting using LoRa DM Kumar, R Arthi, C Aravindhan, AA Roch, K Priyadarsini, J Deny Microprocessors and Microsystems, 104048 , 2021 2021 Citations: 17
An orbicularis oris, buccinator, zygomaticus, and risorius muscle contraction classification for lip-reading during speech using sEMG signals on multi-channels J Deny, R Raja Sudharsan, E Muthu Kumaran International Journal of Speech Technology 24 (3), 593-600 , 2021 2021 Citations: 16
Detection of osteoarthritis by using multiple edge detections J Deny, B Perumal, P Nagaraj, K Alekhya, V Maneesha, SA Reddy 2022 6th International Conference on Intelligent Computing and Control … , 2022 2022 Citations: 14
Exploration on reusability of universal verification methodology N Bhuvaneswary, J Deny, A Lakshmi 2022 2nd International Conference on Advance Computing and Innovative … , 2022 2022 Citations: 14