Dr.M. ARUN KUMAR

@skcet.ac.in

ASSISTANT PROFESSOR AND ECE DEPARTMENT
Sri Krishna College of Engineering and Technology

Dr.M. ARUN KUMAR


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https://researchid.co/arunnkumarrm

EDUCATION

M.E., VLSI DESIGN, Ph.D IN INFORMATION AND COMMUNICATION ENGINEERING

RESEARCH INTERESTS

SIGNAL PROCESSING
LOW POWER VLSI, BIOMEDICAL SIGNAL PROCESSING
36

Scopus Publications

348

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Wearable EMG-based Muscle Monitoring System for Mobile Health
    M Arun Kumar, M. Kalimuthu, T Praveen, P Ram Viknesh, R Saravana Pandian
    Proceedings of the 6th International Conference on Electronics and Sustainable Communication Systems Icesc 2025, 2025
    Traditional electromyography (EMG) systems are frequently large, costly, and only suitable for clinical or laboratory settings, which limits their usage in routine health monitoring, athletic training, and rehabilitation. In order to facilitate real-time monitoring, analysis, and feedback of muscle contractions, this research suggests a wearable surface EMG (sEMG) device that is lightweight, low-power, and easily connects with a mobile application. The gadget uses a sensor array based on Bluetooth Low Energy (BLE) to record sEMG signals and send them to an Android app that tracks performance, offers visual feedback, and creates customized training plans. Meaningful metrics including amplitude, contraction duration, and fatigue levels are extracted using signal processing techniques like mean absolute value (MAV) and root mean square (RMS). High signal accuracy, user comfort, and ease of use were proven in preliminary testing with healthy subjects. The findings show that the suggested system is a viable substitute for conventional EMG systems and a portable, affordable option appropriate for tele-rehabilitation, home therapy, and mobile health (mHealth) applications.
  • Next-Generation IoT Smart Cradle System for Infant Health and Monitoring
    M.Arun Kumar, Rohan J, Rithick R, Priyadharshini T, Mohamed Ajmal S
    2025 International Conference on Emerging Technologies in Engineering Applications Icetea 2025 Proceedings, 2025
    The IoT-Based Smart Cradle is a state-of-the-art technological innovation that is radically changing the perception of conventional baby cradles with its sophisticated Internet of Things (IoT) capabilities. The smart and comprehensive baby monitoring solution provided by this creative concept satisfies the needs of working parents as well as their treasured newborns. The Smart Cradle uses several cutting-edge technologies to enhance newborn safety and caregiver care. The cradle's built-in motion sensors detect the baby's movements when they stir or cry, gently rocking them back and forth to reassure and calm them. The cradle may operate on its own without continual parental supervision thanks to the straightforward integration of IoT technology. One of the primary artistic elements. These sensors keep an eye on the nursery's conditions all the time to make sure the conditions are right for the baby's health and restful sleep. When it notices a departure from ideal settings, the gadget immediately alerts caretakers, allowing them to ensure the baby's safety. The IoT-Based Smart Cradle's capability to stream live audio and video is among its most remarkable features. With the aid of an easy-to-use smartphone app, parents and other caregivers may view and communicate with their infant in real time from a distance. With the aid of this practical technology, parents can monitor their kids even when they're not there and maintain a connection with them. The Arduino microcontroller, which facilitates Internet of Things communication, is the brains behind the Smart Cradle. With the aid of an ESP8266 wifi shield, it effortlessly synchronizes the harmonious interaction of motion and ambient sensors to transmit data to the cloud. In this IoT ecosystem, security and privacy are crucial, and strong encryption techniques guarantee that private information is shielded from unwanted access.
  • Mobile and Wearable LoRa-based Smart Farm Produce Tracking System
    M Arun Kumar, M. Kalimuthu, S Dharanikumar, P Dinesh Kumar, S Gowtham
    Proceedings of the 6th International Conference on Electronics and Sustainable Communication Systems Icesc 2025, 2025
    Due to erratic or nonexistent internet and mobile network connectivity, micro, small, and medium-sized companies (MSMEs) in many rural and impoverished locations have significant difficulties tracking the movement of agricultural products throughout transit. In these conditions, traditional GPS-GSM systems malfunction, leading to blind spots, transit losses, and decreased supply chain accountability. We suggest and put into practice a low-power wide-area network (LPWAN) based LoRa agricultural produce tracking system in order to solve this problem. at order to provide continuous monitoring, even at faraway locations, the system combines an ESP32 microcontroller, a GPS module for precise location tracking, and an OLED display for real-time visual output. A LoRa SX1278 module handles data transmission. Bluetooth data export for mobile access and SD card logging for offline storage are extra features. With a communication range of more than 5 km in open spaces, a packet delivery ratio (PDR) of 8595% in various terrains, and a 48-hour continuous operating life on a 2200 mAh battery, field tests confirmed the system’s efficacy. By offering a dependable and scalable platform for traceability in agricultural supply chains, this reasonably priced, flexible, and energy-efficient solution lowers transit losses, improves transparency, and strengthens the position of rural MSMEs.
  • Enhancing Mobility for Crawling Individuals using HLPR Chair
    M Arun Kumar, Asvitha K, Harikrishnan B, Janani B, Kanishka A S
    Proceedings of the International Conference on Intelligent Computing and Control Systems Iciccs 2025, 2025
    The smart assistive chair is a groundbreaking solution designed to enhance the quality of life for individuals with mobility challenges. It integrates a range of advanced features, including heartbeat detection, pressure analysis, body temperature monitoring, and object detection, to provide comprehensive health management and safety. The heartbeat detection ensures real-time monitoring of the user’s cardiovascular health, while pressure sensors prevent pressure ulcers by alerting users when they need to change position. Body temperature monitoring detects any fluctuations that may indicate health issues, and the object detection system helps users navigate their environment safely by identifying obstacles in their path. Additionally, a tablet reminder system helps users stay on track with medication adherence and daily tasks. All data collected by the chair’s sensors is transmitted to a cloud platform for remote monitoring by caregivers or healthcare providers, allowing for proactive health interventions. The chair’s design promotes both comfort and mobility, with powered wheels for independent movement and ergonomic support for posture and stability. This innovative assistive technology not only empowers users with greater independence and safety but also supports their overall health and well-being, making it a significant advancement in assistive devices. The objective of the proposed work in the document is to design a smart assistive chair that enhances the mobility and quality of life for individuals with mobility impairments, specifically those who crawl. The chair integrates health monitoring, safety features, and task management into a single system.
  • Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory
    M. Arunkumar, A. Mohanarathinam, Kamalraj Subramaniam
    Biomedical Signal Processing and Control, 2024
  • Knee Fracture Surgery Monitoring for Advanced Post-Operative System Using IOT
    Denny. A Franklin Joshuah, Saravanan. V, Arun Kumar M
    Proceedings 2024 International Conference on Expert Clouds and Applications Icoeca 2024, 2024
    An accurate assessment of joint kinematic patients, who walk with neuromuscular and musculoskeletal disorders may provide essential data regarding modifications of disease status and the efficacy of pharmacological treatments and rehabilitation regimens. This research study introduces a cost effective wearable device for monitoring the long term conditions of joint kinematics patients. The respective data are taken from 17 people, who are made to walk at three different speeds while wearing a retractable string sensor integrated with two points on different regions of the knee joint. The proposed Random Forest (RF) algorithm is used to measure the calibrated sensor inputs. Hence, a wearable device can accurately measure the flexibility of knee angles at different walking speeds during locomotion. This type of wearable technology has a potential to monitor the patients conditions, rehabilitation programmes, and improve therapeutic outcomes.
  • Developing An AI-Powered System that Identifies Drivers Sleepiness using Enhanced Image Mining Algorithms
    Annamalai U, Aswin Kumar R, Priyadharshini T, Arun Kumar M, Ramesh Munirathinam
    10th International Conference on Advanced Computing and Communication Systems Icaccs 2024, 2024
    Driving is one of the most important everyday responsibilities of our modern life. Many individuals find it difficult to imagine their lives without cars. Accidents are a normal and inevitable part of driving. In 2019, there were 1.4 thousand deaths due to automobile crash in India. Tamilnadu was the state with the most recorded auto accidents. Thus, from a research perspective, automatic identification of tiredness has become a major challenge. This research develops a drowsiness detection method using enhanced image mining techniques. This methodology yields a preprocessing algorithm known as FBSG by combining three techniques: bilateral, Gaussian, and spatial. By employing this method, the contrast, brightness, sharpness, and contrast ratio. There is noise in every photo. The color image is converted to a grayscale version. This fusion technique improves the ocular image quality by increasing the PSNR. The preprocessed image was segmented using an enhanced, optimized e-gruns technique in order to establish the threshold value. To increase the accuracy of the sleepiness categorization, an improved Hough circle approach has been proposed, and feature extraction is carried out.
  • Efficient Cell Segmentation in Microscopy Images using Sub-Sampling Integrated SVM
    J. Ramprasath, M. Arun Kumar, N. Krishnaraj, C. Chandru Vignesh, N. Saranya, P. Ramprakash
    2nd International Conference on Emerging Research in Computational Science Icercs 2024, 2024
    Support Vector Machine (SVM) integrated with subsampling methods provides the latest approach to cell segmentation of microscopic images. This approach aims to increase computing efficiency and also maintain segmentation accuracy. To begin with, the processing load associated with large-scale microscopic images is reduced by employing subsampling techniques. On applying Support Vector Machine (SVM), classification of the picture patches into cell and non-cell portions based on the gathered attributes. The produced method is highly valuable for high-throughput analysis in medical and biological diagnostics as it provides competitive segmentation performance while drastically cutting down time for its process. Through a detailed analysis from rigorous testing and comparison with existing methods, efficiency and efficacy are demonstrated in accurately differentiating cells from microscopic images and extending solutions for vast biomedical applications.
  • Optimising Business Processes in Project Tracking using CRM
    J. Ramprasath, N. Saranya, M. Arun Kumar, C. Chandru Vignesh, P. Ramprakash, N. Krishnaraj
    2nd International Conference on Emerging Research in Computational Science Icercs 2024, 2024
    Customer relationship management, called CRM, is essential for businesses looking to sustain profitable growth in today's fiercely competitive business environment. This essay examines cutting-edge methods to improve clients in the digital era and thoroughly explains CRM practices. The research examines best-serving customers through various touchpoints by integrating data analytics, AI, and personalized marketing strategies. In addition, it explores the role of organizational alignment and a customer-centric culture in developing enduring customer relationships. The study uses theoretical frameworks and practical data to highlight the main obstacles and changes associated with implementing efficient CRM procedures. As a result, synthesizing pertained research and case studies provides insights into new trends and industry best practices for building long-lasting relationships with customers. The results highlight the significance of proactive involvement, ongoing innovation, and ethicizing deliberations in fostering trust and allegiance across various consumer categories. This paper adds to the current conversation on CRM by providing practice advice that companies can use to adjust to and prosper in a constantly changing market.
  • Sleep Disorder Detection using Fully Convolutional Neural Networks for Sleep Arrhythmia Analysis
    M. Arun Kumar, Arvind Chakrapani
    2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
    One of the most vital parts of the human body is the heart, which circulates blood throughout the body and transports oxygen, nutrition, and waste products. However, the shift in lifestyle and environmental factors results in an aberrant heart's ability to beat. Cardiovascular diseases (CVDs) are the leading cause of death worldwide and the most prominent health concern today, impacting people of all ages. Heart and blood vascular illnesses are grouped as CVDs. The two primary subtypes of cardiac arrhythmias (CAs), a category of cardiovascular diseases (CVDs), are atrial and ventricular. According to WHO estimates, around 61% of individuals globally have CVD. In percentage terms, the disease affects 15%, 10%, 5%, and 5% of the population. The benefits of a wavelet-based VS method are merged with WF in the hybrid VS/WF technique. EMG interference and power-line interference are two examples of noise sources used to gauge the efficacy of the hybrid VS/WF technique. Numerous quality indicators are also looked at. VS/WF hybrid's performance is compared to well-known thresholding techniques including Visu Shrink, Global SURE Shrink, and hybrid threshold approach. The latter of the three threshold techniques Hybrid, Global SURE Shrink, and Visu Shrink is the best.In order to evaluate how well TNN works when supervised learning techniques are applied, three optimization approaches Gauss-Newton, Newton Raphson, and Leven berg Marquard are used. The de-noised ECG data undergo additional processing in order to extract characteristics. A number of domains, including Time, Frequency, and Time-Frequency (Wavelet) domains, are used to extract the characteristics. Auto-regressive (AR) coefficients are extracted in the time domain. While relative wavelet energy is extracted in the wavelet domain at various decomposition levels, Power Spectral Density (PSD) values are recovered in the frequency domain. These characteristics are used to construct an Artificial Neural Network (ANN) that is fully connected and has an accuracy performance rating of (96.85%) for classifying arrhythmias.A more effective de-noising, feature extraction, and classification model based on Conventional Neural Networks (CNN) are also developed. Compared to ANN, the performance is judged as having (99.2%) accuracy. Therefore, the suggested CNN model is helpful to physicians in reaching the ultimate diagnosis of atrial fibrillation (AFIB), atrial flutter (AFL), and ventricular fibrillation. It incorporates de-noising, feature extraction, and classification VT with Ventricular Fibrillation (VFL).
  • Speech Enhancement Algorithm Analysis for a Reliable Speech Recognition System using Artificial Intelligence Methods
    Janani S, Akhil Hassan G, Madhankumar S, M. Arun Kumar
    1st International Conference on Emerging Research in Computational Science Icercs 2023 Proceedings, 2023
  • Stress Measurement and Analysis of Galvanic Skin Resistance (GSR) using EMG Signal
    Boomika S, Keerthana M, Arun Kumar M, Munusamy S
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
  • Voice based Autonomous Pill Assistant for Alzheimer Patients
    B. Balakrishnan, V. Rajesh, R. Tharunraj, M.Arun Kumar
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
  • Real Time ECG Monitoring using Flexible Capacitive Electrodes through a Wearable Smart T-Shirt
    Mebin.K. B, T. Loganath, S. Ariharan, M. Arun Kumar
    6th International Conference on Inventive Computation Technologies Icict 2023 Proceedings, 2023
  • Classification of ECG signal using FFT based improved Alexnet classifier
    Arun Kumar M., Arvind Chakrapani
    Plos One, 2022
  • An Efficient Neck Pain Detection System Using Triggering Linear Method
    Denny A Franklin Joshuah, A Saravanan, S Munusamy, Arun Kumar M
    International Interdisciplinary Humanitarian Conference for Sustainability Iihc 2022 Proceedings, 2022
  • Review on smart farming and smart agriculture for society: Post-pandemic era
    Nagarjuna Telagam, Nehru Kandasamy, M. Arun Kumar
    Green Technological Innovation for Sustainable Smart Societies Post Pandemic Era, 2021
  • An Efficient Intravenous Drip System for Hospital Enviroment
    Kalimuthu Shanmugam, Nishithashree Ranganathan, Vigneshkumar Rajaendran, M. Arunkumar, R. Sangeetha
    Journal of Physics Conference Series, 2021
  • IamAlpha: Instant and Adaptive Mobile Network for Alpha Matting
    32nd British Machine Vision Conference Bmvc 2021, 2021
  • Solar Energy System for Indoor Plant Applications using SunFlower Technology
    M. Arun Kumar, Nagarjuna Telagam, Sricharan M Chavala, M Sabarimuthu, Krishna Prasad
    2021 IEEE 2nd International Conference on Technology Engineering Management for Societal Impact Using Marketing Entrepreneurship and Talent Temsmet 2021, 2021
  • An efficient car parking management system using raspberry-pi
    G. Aravindh, M. Arun Kumar
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • An efficient aquaculture monitoring automatic system for real time applications
    M. Arun Kumar, G. Aravindh
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • An efficient use of SVM and QDA Algorithms on EPG signals
    G. Aravindh, M. Arun Kumar
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • Seismic image pattern analysis using fuzzy logic controller
    S. Jayachitra, M. Arun Kumar, G. Aravindh, R. Sangeetha, P. Sasikala
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • An automatic system for detection & suppression of epileptic seizure
    Bhuvaneswari M, Shafiq Mansoor J, Aravinth. T. S, Arun Kumar. M, Sangeetha. R M. E
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • An Efficient Finger Gesture Recognition System Using Image
    M. Arun Kumar, S. Jayachithra, G. Aravindh, M. Bhuvaneswari
    Proceedings of the 4th International Conference on Electronics Communication and Aerospace Technology Iceca 2020, 2020
  • An Automatic System for Detection Suppression of Epileptic Seizure
    M Bhuvaneswari, J Shafiq Mansoor, T.S Aravinth, M Arun Kumar, R Sangeetha
    Proceedings of the 4th International Conference on Electronics Communication and Aerospace Technology Iceca 2020, 2020
  • DeepAttent: Saliency Prediction with Deep Multi-scale Residual Network
    Kshitij Dwivedi, Nitin Singh, Sabari R. Shanmugham, Manoj Kumar
    Advances in Intelligent Systems and Computing, 2020
  • Depth Aware Portrait Segmentation Using Dual Focus Images
    Nitin Singh, Manoj Kumar, P.J. Mahesh, Rituparna Sarkar
    Proceedings IEEE International Conference on Multimedia and Expo, 2018
  • Colour image segmentation with histogram and homogeneity histogram difference using evolutionary algorithms
    Sushil Kumar, Millie Pant, Manoj Kumar, Aditya Dutt
    International Journal of Machine Learning and Cybernetics, 2018
  • Survey on various advanced technique for cache optimization methods for risc based system architecture
    M. Arun Kumar, G. Arun Francis
    Proceedings of 2017 4th International Conference on Electronics and Communication Systems Icecs 2017, 2017
  • An survey of low power fft processor for signal processing applications
    Journal of Advanced Research in Dynamical and Control Systems, 2017
  • Visualizing local linear embedding and fast ICA with linear neural networks for epilepsy classification
    Harikumar Rajaguru, Sunil Kumar Prabhakar, Kowshik Saravanan, Mithun Kumar
    Proceedings of the 2nd International Conference on Communication and Electronics Systems Icces 2017, 2017
  • Evaluation of face recognition using vector features in local pattern descriptors
    S. Valarmathy, M. Arun Kumar, R. Sangeetha
    Proceedings of the 3rd International Conference on Devices Circuits and Systems Icdcs 2016, 2016
  • Intelligent multilevel car parking system using RFID
    Pradeep Kumar, Ashutosh Gupta, Kashish Nalwa, Monish Kumar, Aditya Bharadwaj, M. Adithya
    International Journal of Simulation Systems Science and Technology, 2015
  • Efficient time sharing of traffic signal using wireless sensor networks
    International Journal of Applied Engineering Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • Optimising Business Processes in Project Tracking using CRM
    J Ramprasath, N Saranya, MA Kumar, CC Vignesh, P Ramprakash, ...
    2024 International Conference on Emerging Research in Computational Science … , 2024
    2024
  • Efficient Cell Segmentation in Microscopy Images using Sub-Sampling Integrated SVM
    J Ramprasath, MA Kumar, N Krishnaraj, CC Vignesh, N Saranya, ...
    2024 International Conference on Emerging Research in Computational Science … , 2024
    2024
  • Knee Fracture Surgery Monitoring for Advanced Post-Operative System Using IOT
    DAF Joshuah, A Kumar
    2024 International Conference on Expert Clouds and Applications (ICOECA … , 2024
    2024
  • Developing An AI-Powered System that Identifies Drivers Sleepiness using Enhanced Image Mining Algorithms
    U Annamalai, A Kumar, T Priyadharshini, A Kumar, R Munirathinam
    2024 10th International Conference on Advanced Computing and Communication … , 2024
    2024
  • Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory
    KS M. Arunkumar, A. Mohanarathinam
    Biomedical Signal Processing and Control 87, 1746-8094 , 2024
    2024
    Citations: 8
  • Speech Enhancement Algorithm Analysis for a Reliable Speech Recognition System using Artificial Intelligence Methods
    S Janani, AKM Madhankumar, S
    2023 International Conference on Emerging Research in Computational Science … , 2023
    2023
    Citations: 1
  • Sleep Disorder Detection using Fully Convolutional Neural Networks for Sleep Arrhythmia Analysis
    MA Kumar, A Chakrapani
    2023 First International Conference on Advances in Electrical, Electronics … , 2023
    2023
  • Stress Measurement and Analysis of Galvanic Skin Resistance (GSR) using EMG Signal
    S Boomika, M Keerthana, M Arun Kumar, S Munusamy
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 2
  • Voice based autonomous pill assistant for Alzheimer patients
    B Balakrishnan, V Rajesh, R Tharunraj, MA Kumar
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 3
  • Real Time ECG Monitoring using Flexible Capacitive Electrodes through a Wearable Smart T-Shirt
    T Loganath, S Ariharan, MA Kumar
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
  • IoT based Food Spoilage Detection Monitoring using Blynk
    S Sasikanth, A Kumar, NS Kumar, G Pradeepkumar
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 4
  • Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks
    AKMRS Venkatesan Cherappa , Thamaraimanalan Thangarajan , Sivagama Sundari ...
    Sensors 23 (2788), 1-15 , 2023
    2023
    Citations: 121
  • Wearable Sensor-Based Edge Computing Framework for Cardiac Arrhythmia Detection and Acute Stroke Prediction
    MT R. Lavanya , Vidyabharathi , S. Selva Kumar , Manisha Mali , M. Arun ...
    Journal of Sensors 2023, 1-9 , 2023
    2023
    Citations: 11
  • An Efficient Neck Pain Detection System Using Triggering Linear Method
    DAF Joshuah, A Saravanan, S Munusamy, A Kumar M
    IEEE CONFERENCE , 2023
    2023
  • Classification of ECG signal using FFT based improved Alexnet classifier
    A Kumar M, A Chakrapani
    PLOS one 17 (9), e0274225 , 2022
    2022
    Citations: 45
  • An Efficient Intravenous Drip System For Hospital Enviroment
    K Shanmugam, N Ranganathan, V Rajaendran, M Arunkumar, ...
    Journal of Physics: Conference Series 1937 (1), 012005 , 2021
    2021
    Citations: 2
  • An Efficient Cancer Detection Using Machine Learning Algorithm
    RSME M. Arun Kumar M.E. (Ph.D) , P.Gopika Ram M.E., P.Suseendhar M.E.
    NATURAL VOLATILES AND ESSENTIAL OILS 8 (4), 6416-6425 , 2021
    2021
    Citations: 6
  • An Efficient Intravenous Drip System For Hospital Environment
    M ARUN KUMAR
    Journal of Physics: Conference Series, 1-7 , 2021
    2021
  • Seismic image pattern analysis using fuzzy logic controller
    S Jayachitra, MA Kumar, G Aravindh, R Sangeetha, P Sasikala
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 7
  • An Efficient Use of SVM and QDA Algorithms on EPG Signals
    G Aravindh, MA Kumar
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Energy-Efficient Clustering and Routing Using ASFO and a Cross-Layer-Based Expedient Routing Protocol for Wireless Sensor Networks
    AKMRS Venkatesan Cherappa , Thamaraimanalan Thangarajan , Sivagama Sundari ...
    Sensors 23 (2788), 1-15 , 2023
    2023
    Citations: 121
  • Classification of ECG signal using FFT based improved Alexnet classifier
    A Kumar M, A Chakrapani
    PLOS one 17 (9), e0274225 , 2022
    2022
    Citations: 45
  • FACE RECOGNITION SYSTEM FOR VISUALLY IMPAIRED PEOPLE
    Mr.G.Arun Francis, Dr.P.Karthigaikumar, Mr.G.Arun Kumar
    JOURNAL OF CRITICAL REVIEWS 7 (ISSUE 17, 2020), 1-5 , 2020
    2020
    Citations: 30
  • Survey on various advanced technique for cache optimization methods for risc based system architecture
    M Arunkumar, G Arunfrancis
    2017 4th International Conference on Electronics and Communication Systems … , 2017
    2017
    Citations: 29
  • An Efficient Aquaculture Monitoring Automatic System for Real Time Applications
    M ArunKumar, A G
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) , 2020
    2020
    Citations: 18
  • An efficient car parking management system using raspberry-pi
    G Aravindh, MA Kumar
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 17
  • AN EFFICIENT PATIENT HEALTH MONITORING SYSTEM USING IOT FOR HEALTH CARE APPLICATIONS
    M.Arun Kumar, N.Bhuvaneswari, J.R.Nishanth, E.Rameshmarivendan
    WAFFEN-UND KOSTUMKUNDE JOURNAL 11 (Issue 8, August 2020), 219 - 222 , 2020
    2020
    Citations: 14
  • Wearable Sensor-Based Edge Computing Framework for Cardiac Arrhythmia Detection and Acute Stroke Prediction
    MT R. Lavanya , Vidyabharathi , S. Selva Kumar , Manisha Mali , M. Arun ...
    Journal of Sensors 2023, 1-9 , 2023
    2023
    Citations: 11
  • An Efficient RF Energy Harvesting System for low power applications
    M.Arun Kumar, J.R.Nishanth
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 10
  • Efficient Time Sharing Of Traffic Signal using Wireless Sensor Networks
    M.Arun kumar, C.P.Jeba Samuel,L.Saranya, T.Karthik
    International Journal of Applied Engineering Research, 10, 5 , 2015
    2015
    Citations: 10
  • Detection of varicose vein disease using optimized kernel Boosted ResNet-Dropped long Short term Memory
    KS M. Arunkumar, A. Mohanarathinam
    Biomedical Signal Processing and Control 87, 1746-8094 , 2024
    2024
    Citations: 8
  • Seismic image pattern analysis using fuzzy logic controller
    S Jayachitra, MA Kumar, G Aravindh, R Sangeetha, P Sasikala
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 7
  • AN EFFICIENT FINGER GESTURE RECOGNITION SYSTEM USING IMAGE
    M Arunkumar, S Jayachithra, G Aravindh, M Bhuvaneswari
    2020 4th International Conference on Electronics, Communication and … , 2020
    2020
    Citations: 7
  • An Efficient Cancer Detection Using Machine Learning Algorithm
    RSME M. Arun Kumar M.E. (Ph.D) , P.Gopika Ram M.E., P.Suseendhar M.E.
    NATURAL VOLATILES AND ESSENTIAL OILS 8 (4), 6416-6425 , 2021
    2021
    Citations: 6
  • IoT based Food Spoilage Detection Monitoring using Blynk
    S Sasikanth, A Kumar, NS Kumar, G Pradeepkumar
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 4
  • Voice based autonomous pill assistant for Alzheimer patients
    B Balakrishnan, V Rajesh, R Tharunraj, MA Kumar
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 3
  • Stress Measurement and Analysis of Galvanic Skin Resistance (GSR) using EMG Signal
    S Boomika, M Keerthana, M Arun Kumar, S Munusamy
    2023 International Conference on Inventive Computation Technologies (ICICT … , 2023
    2023
    Citations: 2
  • An Efficient Intravenous Drip System For Hospital Enviroment
    K Shanmugam, N Ranganathan, V Rajaendran, M Arunkumar, ...
    Journal of Physics: Conference Series 1937 (1), 012005 , 2021
    2021
    Citations: 2
  • An Efficient Use of SVM and QDA Algorithms on EPG Signals
    G Aravindh, MA Kumar
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
    Citations: 2
  • Speech Enhancement Algorithm Analysis for a Reliable Speech Recognition System using Artificial Intelligence Methods
    S Janani, AKM Madhankumar, S
    2023 International Conference on Emerging Research in Computational Science … , 2023
    2023
    Citations: 1