Dr.T.Muthumanickam

@vmkvec.ac.in

Professor/Electronics and Communication Engineering
Vinayaka Missions Kirupananda Variyar Engineering College

Dr.T.Muthumanickam


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https://researchid.co/muthu12

EDUCATION

B.E.,MTech,PhD

RESEARCH INTERESTS

VLSI Design
34

Scopus Publications

409

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Optimizing Human Sleep Patterns Using AI-Driven Insights from Wearable Data and Behavioral Analysis
    T. Muthumanickam, Kodumuri Srujana, M Krishna Kanth, Sobiyaa P, Kanegonda Ravi Chythanya, A. Athiraja
    Esic 2025 5th International Conference on Emerging Systems and Intelligent Computing Proceedings, 2025
    Conventional methods for optimizing sleep, such as sleep diaries and questionnaires, frequently depend on subjective data that is vulnerable to variation and personal preference. These techniques fall short of offering precise and useful insights for individualized sleep enhancements. In contrast, this study collected wearable data from 50 participants over a 30-day period, and the analysis was driven by AI to uncover insights and provide personalized recommendations. The method examined physical activity, heart rate variability, and sleep stages using sophisticated machine learning models, particularly Long Short-Term Memory (LSTM) networks. The association between environmental conditions and individual sleep behavior over time revealed a 12% reduction in nighttime disturbances and a 20% increase in deep sleep duration. The suggested approach outperforms conventional methods by providing unbiased, data-driven therapies customized to the unique sleep habits of each person. The AI-driven system showed a considerable improvement in sleep quality through focused interventions, making it a superior alternative for optimizing sleep compared to conventional approaches that lack accuracy and customization.
  • Intelligent Robotic Medical Assistive Device for Elderly Individuals Support
    Chandrashekhar Kumar, Muthumanickam T., Sheela T.
    Ssrg International Journal of Electronics and Communication Engineering, 2024
    This paper discusses trends in technology like Artificial Intelligence and machine learning algorithms in developing intelligent robotic systems. It focuses on attribute-picking points, classification, and fuzzy rule-based decision-making in settings for robot actuation planning. The system uses a Natural Language Processing-based User Interface, cameras, and image processing modules. It proposes two new feature selection and classification algorithms, Intelligent Voice to Text Conversion and Fuzzy Temporal Rule-based Semantic Analysis Algorithm. The system also introduces three new algorithms for object detection and grasping. Robots with assistive technology may help with senior or geriatric care, but their ability to track objects, estimate motion, and estimate poses a barrier. Although researchers have suggested real-time posture estimates as a dependable option, traditional tracking techniques still highly value stance. The volume of data, extensive processing duties, and start-up all contribute to the complexity of real-time tracking. An innovative mobile robot system designed to assist has been put forth to enable elderly individuals to live longer, safer lives in their homes. The study aims to address these concerns and develop technology that meets the needs of senior citizens and geriatrics.
  • Big Medical Data Security in Hospitals using Unpolarized R-CNN
    Chandrashekhar Kumar, T. Muthumanickam, T. Sheela
    Proceedings 2024 4th International Conference on Soft Computing for Security Applications Icscsa 2024, 2024
    In recent instances, the exponential expansion of big data upswing (DU) has proven to be a powerful method of protecting against cyber security risks. Traditional data security techniques frequently fail owing to the complexity and volume of medical data, revealing possible vulnerabilities. This research provides a new technique for improving hospital data security utilizing unpolarized region-based Convolutional Neural Networks (R-CNN). The suggested Unpolarized R-CNN framework is capable of processing high-dimensional medical data, including Electronic Health Records (EHRs), medical imaging, genetic data, and sensor data, thanks to enhanced feature extraction and anomaly detection approaches. The integration of Region Proposal Networks (RPN) with unpolarized neural network layers is critical to this technique, as it allows for the impartial detection and classification of data breaches and harmful activity. The unpolarized design ensures that all data points are analyzed equally, which improves the identification of tiny irregularities that indicate cyber security problems. The framework also incorporates a real-time intrusion detection system that monitors data flow, detects unwanted access, and ensures data integrity. The Unpolarized R-CNN performs better in detecting complex cyber threats and reducing false positives, which is critical for preserving trust in digital health systems. This technique also allows for secure data processing and storage, by health data privacy standards such as HIPAA. Experimental results demonstrate the framework's usefulness in a hospital setting, highlighting its potential to improve data security in healthcare with an accuracy of less error of 3% and an F1 Score of 92 FPR with 93% in unpolarized method.
  • Medical Accident Image Analysis Using Capsule Neural Network
    Chandrashekhar Kumar, T. Muthumanickam, T. Sheela
    2nd International Conference on Sustainable Computing and Smart Systems Icscss 2024 Proceedings, 2024
    The rapid advancement of real-time medical technologies necessitates a focus on patient health, safety, and privacy. Reducing human intervention is essential due to age-related factors and the need for secure handling of sensitive information. This study explores the application of a Capsule Neural Network (Caps-Net) for real-time medical image recognition and analysis, a task traditionally enhanced by Convolutional Neural Networks (CNNs). Caps-Net is employed to identify and analyse injuries such as hand cuts, head and nose bleeding, and leg injuries from accidents. Utilizing a dataset of 12,000 images processed in Google Colab, the proposed model achieved a remarkable accuracy of 97%. These results highlight CapsNet's efficacy in medical imaging, offering significant benefits to healthcare professionals by improving diagnostic accuracy and expediting patient care. This research highlights the potential of advanced AI technologies in transforming medical image processing and enhancing clinical outcomes.
  • Energy-Efficient ECG Signal Processing based on Approximate Pruned Haar Discrete Wavelet Transform Implemented on FPGA
    R. Ragavi, T. Sheela, T. Muthumanickam, G. Suresh Kumar, G. Ramachandran
    Proceedings 2024 2nd International Conference on Inventive Computing and Informatics Icici 2024, 2024
    One of the most commonly used instruments for the diagnosis and evaluation of epilepsy is the electroencephalogram (EEG). Currently, epilepsy be diagnosed mostly by a neurological specialist via visual or manual EEG examination readings. This study proposes an epilepsy computer-aided diagnostics (CAD) based on the Feed-Forward Neural Network (FFNN), Discrete Wavelet Transform (DWT), and Shannon entropy. DWT divides EEG impulses into numerous sub-bands of frequency that consist of gamma, beta, alpha, theta, and delta. Shannon entropy extracts ECG information from every frequency sub-band. Lastly, FFNN uses the collected features to classify the related EEG signals as "normal" or "epileptic". The outcomes of experiment with the accessible to the public Bonn University EEG dataset indicate the total precision.
  • Adaptive Digital Beam Forming for Massive Array Employed in the XOR MUX full Adder FPGA Implementation
    Thamilazhagan T, T. Muthumanickam, T. Sheela, G. Suresh Kumar, G. Ramachandran
    Proceedings 2024 2nd International Conference on Inventive Computing and Informatics Icici 2024, 2024
    Improving the quality of communication is very necessary with recent technology. Include the building of 5G wireless networks and growth of various communication tools. A method known as adaptive digital beam forming is one that adjusts an antenna’s radiation pattern array inside response to a particular signal reception that is desired. An adaptation this is based on (LMS) and its variant continues to be one of creative strategies that are employed the most. The improvement of antennas has led to the creation of high-performance hardware, even though those LMS techniques provide impressive computing performance. Systems like (FPGAs)-Field Programmable Gate Arrays, which were developed used for large array system, provide designs that are both high-performance and efficient with regard to energy consumption. The proposed work in this study presents a parallel implementation of a vast array beam forming system utilizing LMS on FPGAs with conventional and XOR-MUX full adder designs. The beam-forming system consists of a spatial filter and an adaptation unit. This proposed work was developed at Verilog HDL, synthesized on a Xilinx A vertex- 5 FPGA, and evaluated every parameter concerning area, latency, and power consumption.
  • Analysis of IoT based Digital Waste Management Collections Garbage Disposal and its Applications
    K. Periyasamy, Peram Praveen Kumar Reddy, Sonukumar, G. Ramachandran, T. Muthumanickam
    Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing Icaaic 2024, 2024
    Given the hazardous nature of heavy metals and chemicals in used electrical and electronic equipment (e-waste), effective management has become integral to solid waste management practices. The presence of valuable metals like gold and copper underscores the importance of efficient waste treatment methods. This study proposes a smart collecting system for managing and recycling household e-waste in India. The system includes a smart collecting box equipped with sensors to monitor e-waste levels and log disposal details. An IoT automated back-end server is employed to detect and schedule the dispatch and collection of e-waste collectors when the collection box reaches eighty percent capacity. Additionally, a mobile application allows public end users to dispose of their household e-waste conveniently. The proof-of-concept for the smart system has been successfully established, promising improvements in how India collects household waste and consumer electronics.
  • Analysis of Internet of Things Based Agriculture Fertilizer Nutrient Management Soil Health Irrigation System and its Applications
    S. Venkatachalam, P. Kavitha, Pradnya Kirankumar Ingle, G. Ramachandran, R. Sasikala, T. Muthumanickam
    2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024
    Crops require irrigation in order to grow, and irrigation promotes economic growth gradually. The time required for an effective water flow to the crop fields will be determined by the combinations of these parameters. An essential component of the production of agricultural products is irrigation. Moreover, the current sky circumstances are specified by earlier study, which yields results that are 95 percent accurate. The agronomic design, which determines the quantity of water required for each crop, is an additional task. An irrigation system based on fuzzy rules has been devised for the other research. However, the proposed model has an additional feature: a rain sensor. It makes use of to get around the problem of irregular irrigation activation. The other feature that activates the spray on the region when the farmer flips on the fertilizer button is fertilizer control.
  • Analysis of Artificial Intelligence Industry 4.0 Automation Based Developments and its Applications
    Niranjan Sudhakar Deshmukh, P. Shalini, J.Madhuri Sailaja, Buddhaghosh Arjun Shingade, T. Muthumanickam, Pranav Kodali, G. Ramachandran
    2024 IEEE 4th International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2024, 2024
    The days, manufacturers across a range of industries must handle increasingly difficult responsibilities including risk management, increasing efficiency and security, etc. Integration founded on Industry 4.0 concepts is one way to address these issues. The article explains Industry 4.0's constituent parts and fundamental ideas. Towards a structure to evaluate industry 4.0 services and technology's effect on production resources industrial 4.0 is becoming more and more significant in the manufacturing sector. Scholarly writings have mostly focused on the technological aspects of Industry 4.0. Studies that address Industry 4.0 technologies, services, and production resources within an industrial setting are, nevertheless, extremely rare. Specifically, there is a lack of research to support an academic conversation about how Industry 4.0 technologies affect its production resources and services. The purpose of this article is to provide an initial framework that illustrates how Industry 4.0 services and technologies affect production resources. Two distinct industries are the focus of the application of the framework. For industrial decision-making, this study can be utilized to better support and choose appropriate Industry 4.0 technology.
  • Early detection of analog circuit performance using RBF
    M. P. Varghese, T. Muthumanickam
    Aip Conference Proceedings, 2023
  • An Analog Circuit Designing Model via Machine Learning for Stage Classification and Evolutionary Solution Optimization Algorithm
    Varghese M P, Muthumanickam T
    Ssrg International Journal of Electronics and Communication Engineering, 2023
  • Analysis of Unmanned Four-Wheeled Bot with AI Evaluation Feedback Linearization Method
    Chandrashekhar Kumar, T. Muthumanickam
    International Journal on Recent and Innovation Trends in Computing and Communication, 2023
  • Semi Autonomous Robot for Domestic purpose
    Muhammed Shafi, S.Sheik Mohammed, T. Sheela, T. Muthumanickam, G.Suresh Kumar
    2nd International Conference on Sustainable Computing and Data Communication Systems Icscds 2023 Proceedings, 2023
  • Artificial Intelligence for Development of Variable Power Biomedical Electronics Gadgets Applications
    A. Celina, Vijilius Helena Raj, V.K. Ajay, G. Ramachandran, Chandrashekhar Kumar, T. Muthumanickam
    Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023
  • Analysis of Wireless Internet of Things to Medical Health Care Patient Applications
    K Aravinda, L. Manjunath, S. Elango, S. Krishnaveni, G. Ramachandran, PM Murali, T. Muthumanickam
    2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
  • Artificial Intelligence based Electronics Engineering Software Application System
    Thiagarajan Kittappa, C. Sandhya, V. Krishnan, Shilpa Sharma, Deepti Khubalkar, G. Ramachandran, T. Muthumanickam
    Proceedings 5th International Conference on Smart Systems and Inventive Technology Icssit 2023, 2023
  • Investigation through the Analysis of Double Strip Micro Cantilever for the Identification of Cancer at Early Stage
    Kaustubh Kumar Shukla, T. Muthumanickam
    Proceedings 2022 6th International Conference on Intelligent Computing and Control Systems Iciccs 2022, 2022
  • Performance Analysis of a Bottleneck Layer Network in the Estimation of Cyber-Attacks
    T. Muthumanickam, D. Vinod Kumar
    Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
  • MEMS Technology for Early Stage Diesis Detection Using Micro-Cantilever Structure in Support of Biomedical Applications
    Kaustubh Kumar Shukla, T. Muthumanickam
    Ecs Transactions, 2022
  • Micro Cantilever Arrays Optimization and Analysis for Healthcare Applications
    Kaustubh Kumar Shukla, T. Muthumanickam
    Proceedings International Conference on Applied Artificial Intelligence and Computing Icaaic 2022, 2022
  • Analysis the performance Medical Pharma Information System Applications
    Chandrashekhar Kumar, T. Muthumanickam
    3rd International Conference on Power Energy Control and Transmission Systems Icpects 2022 Proceedings, 2022
  • A smart sensor using MEMS technology for artificial environmental monitoring
    Kaustubh Kumar Shukla, T. Muthumanickam
    Materials Today Proceedings, 2022
  • Artificial Intelligence System based Embedded Real-Time System Power Optimization and Adaptability
    Nilamani Ganesan, T. Muthumanickam
    Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022
  • Machine Learning Approaches for Electronic Design Automation in IC Design Flow
    M P Varghese, T. Muthumanickam
    6th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2022 Proceedings, 2022
  • Investigation to Improve Reliableness for Health Monitoring in Different Environments using MEMS based Higher Sensitive Microcantilever Array
    Kaustubh Kumar Shukla, T. Muthumanickam, T. Sheela
    2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies Icefeet 2022, 2022
  • Development of Animal-Detection System using Modified CNN Algorithm
    Sheik Mohammed. S, T. Sheela, T. Muthumanickam
    Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022
  • VLSI Low Power Design Analysis Modeling Strategies
    13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
  • Effects of Thermally Induced Deformations and Surface Radiosity for 3D Heat Transfer and Its Applications
    Kaustubh Kumar Shukla, T. Muthumanickam, T. Sheela
    Lecture Notes in Mechanical Engineering, 2022
  • IoT Enabled Health Monitoring System using Machine Learning Algorithm
    Sheik Mohammed. S, T. Sheela, T. Muthumanickam
    6th International Conference on Electronics Communication and Aerospace Technology Iceca 2022 Proceedings, 2022
  • Various SRAM Condition to Design the FINFET with Operating of Different Condition in Voltage
    Garry Thomson. P, T. Muthumanickam, T. Sheela, G. SureshKumar
    Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
  • Automation using Artificial intelligence based Natural Language processing
    P. Mohana, M. Muthuvinayagam, P. Umasankar, T. Muthumanickam
    Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
  • Analysis of Artificial Intelligence in Medical Sectors
    J Thilagavathi, K Lavanya, S. Elango, M. Santhoshi, T. Muthumanickam, G. Ramachandran
    Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022
  • Application of coagulation and flocculation of water and reuse wastewater treatment in agriculture
    R. Sethupathi, Chandra Kumar Dixit, V. V. Hari Babu, G. Ramachandran, A. Arunraja, T. Muthumanickam
    Aip Conference Proceedings, 2021
  • RETRACTED:An effective motion object detection using adaptive background modeling mechanism in video surveillance system
    SivaNagiReddy Kalli, T. Suresh, A. Prasanth, T. Muthumanickam, K. Mohanram
    Journal of Intelligent and Fuzzy Systems, 2021

RECENT SCHOLAR PUBLICATIONS

  • Optimizing Human Sleep Patterns Using AI-Driven Insights from Wearable Data and Behavioral Analysis
    T Muthumanickam, K Srujana, MK Kanth, KR Chythanya, A Athiraja
    2025 International Conference on Emerging Systems and Intelligent Computing … , 2025
    2025
    Citations: 6
  • Analysis of Artificial Intelligence Industry 4.0 Automation Based Developments and its Applications
    NS Deshmukh, P Shalini, JM Sailaja, BA Shingade, T Muthumanickam, ...
    2024 IEEE 4th International Conference on Applied Electromagnetics, Signal … , 2024
    2024
  • Big Medical Data Security in Hospitals using Unpolarized R-CNN
    C Kumar, T Muthumanickam, T Sheela
    2024 4th International Conference on Soft Computing for Security … , 2024
    2024
  • Medical Accident Image Analysis Using Capsule Neural Network
    C Kumar, T Muthumanickam, T Sheela
    2024 2nd International Conference on Sustainable Computing and Smart Systems … , 2024
    2024
  • Energy-Efficient ECG Signal Processing based on Approximate Pruned Haar Discrete Wavelet Transform Implemented on FPGA
    R Ragavi, T Sheela, T Muthumanickam, GS Kumar, G Ramachandran
    2024 Second International Conference on Inventive Computing and Informatics … , 2024
    2024
  • Adaptive Digital Beam Forming for Massive Array Employed in the XOR MUX full Adder FPGA Implementation
    T Thamilazhagan, T Muthumanickam, T Sheela, GS Kumar, ...
    2024 Second International Conference on Inventive Computing and Informatics … , 2024
    2024
  • Analysis of IoT based Digital Waste Management Collections Garbage Disposal and its Applications
    K Periyasamy, PPK Reddy, G Ramachandran, T Muthumanickam
    2024 3rd International Conference on Applied Artificial Intelligence and … , 2024
    2024
    Citations: 9
  • Analysis of Internet of Things Based Agriculture Fertilizer Nutrient Management Soil Health Irrigation System and its Applications
    S Venkatachalam, P Kavitha, PK Ingle, G Ramachandran, R Sasikala, ...
    2024 2nd International Conference on Intelligent Data Communication … , 2024
    2024
    Citations: 5
  • Early detection of analog circuit performance using RBF
    MP Varghese, T Muthumanickam
    AIP Conference Proceedings 2917 (1), 050021 , 2023
    2023
  • Analysis of Wireless Internet of Things to Medical Health Care Patient Applications
    K Aravinda, L Manjunath, S Elango, S Krishnaveni, G Ramachandran, ...
    2023 First International Conference on Advances in Electrical, Electronics … , 2023
    2023
    Citations: 1
  • Artificial Intelligence for Development of Variable Power Biomedical Electronics Gadgets Applications
    A Celina, VH Raj, VK Ajay, G Ramachandran, C Kumar, ...
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023
    Citations: 2
  • AI-based drone system for medical support in congested areas
    C Kumar, T Muthumanickam
    2023
  • Semi autonomous robot for domestic purpose
    M Shafi, SS Mohammed, T Sheela, T Muthumanickam, GS Kumar
    2023 International Conference on Sustainable Computing and Data … , 2023
    2023
    Citations: 1
  • Artificial Intelligence based Electronics Engineering Software Application System
    T Kittappa, C Sandhya, V Krishnan, S Sharma, D Khubalkar, ...
    2023 5th International Conference on Smart Systems and Inventive Technology … , 2023
    2023
    Citations: 2
  • Analysis of unmanned four-wheeled bot with AI evaluation feedback linearization method
    C Kumar, T Muthumanickam
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 1
  • Analysis the performance Medical Pharma Information System Applications
    C Kumar, T Muthumanickam
    2022 International Conference on Power, Energy, Control and Transmission … , 2022
    2022
  • IoT Enabled Health Monitoring System using Machine Learning Algorithm
    T Sheela, T Muthumanickam
    2022 6th International Conference on Electronics, Communication and … , 2022
    2022
    Citations: 3
  • Analysis of Artificial Intelligence in Medical Sectors
    J Thilagavathi, K Lavanya, S Elango, M Santhoshi, T Muthumanickam, ...
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 5
  • Development of animal-detection system using modified CNN algorithm
    T Sheela, T Muthumanickam
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 10
  • Artificial intelligence system based embedded real-time system power optimization and adaptability
    N Ganesan, T Muthumanickam
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Automation using Artificial intelligence based Natural Language processing
    P Mohana, M Muthuvinayagam, P Umasankar, T Muthumanickam
    2022 6th International Conference on Computing Methodologies and … , 2022
    2022
    Citations: 175
  • An effective motion object detection using adaptive background modeling mechanism in video surveillance system
    MT Kalli Siva Nagi Reddy , Suresh T, Prasanth A
    Journal of Intelligent & Fuzzy Systems 41 (1), 1777-1789 , 2021
    2021
    Citations: 57
  • A smart sensor using MEMS technology for artificial environmental monitoring
    KK Shukla, T Muthumanickam
    Materials Today: Proceedings 66, 3626-3633 , 2022
    2022
    Citations: 17
  • Investigation to improve reliableness for health monitoring in different environments using MEMS based higher sensitive microcantilever array
    KK Shukla, T Muthumanickam, T Sheela
    2022 2nd International Conference on Emerging Frontiers in Electrical and … , 2022
    2022
    Citations: 12
  • Animal health monitoring system using Raspberry Pi and wireless sensor
    L Narayan, DT Muthumanickam, DA Nagappan
    International Journal of Scientific Research and Education (IJSRE) 3 (5) , 2015
    2015
    Citations: 11
  • Development of animal-detection system using modified CNN algorithm
    T Sheela, T Muthumanickam
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 10
  • Performance Analysis of a Bottleneck Layer Network in the Estimation of Cyber-Attacks
    T Muthumanickam, DV Kumar
    2022 6th International Conference on Computing Methodologies and … , 2022
    2022
    Citations: 10
  • Analysis of IoT based Digital Waste Management Collections Garbage Disposal and its Applications
    K Periyasamy, PPK Reddy, G Ramachandran, T Muthumanickam
    2024 3rd International Conference on Applied Artificial Intelligence and … , 2024
    2024
    Citations: 9
  • 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
    KK Shukla, T Muthumanickam
    IEEE, , 2022
    2022
    Citations: 9
  • Micro Cantilever Arrays Optimization and Analysis for Healthcare Applications
    KK Shukla, T Muthumanickam
    2022 International Conference on Applied Artificial Intelligence and … , 2022
    2022
    Citations: 7
  • PERFORMANCE ANALYSIS OF CRYPTOGRAPHIC VLSI DATA
    T Muthumanickam., TS A. Nagappan.
    IRACST – International Journal of Computer Networ ks and Wireless … , 2012
    2012
    Citations: 7
  • Optimizing Human Sleep Patterns Using AI-Driven Insights from Wearable Data and Behavioral Analysis
    T Muthumanickam, K Srujana, MK Kanth, KR Chythanya, A Athiraja
    2025 International Conference on Emerging Systems and Intelligent Computing … , 2025
    2025
    Citations: 6
  • MEMS Technology for Early Stage Diesis Detection Using Micro-Cantilever Structure in Support of Biomedical Applications
    KK Shukla, T Muthumanickam
    Electrochemical Society Transactions 107 (1), 1125-1137 , 2022
    2022
    Citations: 6
  • Analysis of Internet of Things Based Agriculture Fertilizer Nutrient Management Soil Health Irrigation System and its Applications
    S Venkatachalam, P Kavitha, PK Ingle, G Ramachandran, R Sasikala, ...
    2024 2nd International Conference on Intelligent Data Communication … , 2024
    2024
    Citations: 5
  • Analysis of Artificial Intelligence in Medical Sectors
    J Thilagavathi, K Lavanya, S Elango, M Santhoshi, T Muthumanickam, ...
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 5
  • Effects of Thermally Induced Deformations and Surface Radiosity for 3D Heat Transfer and Its Applications
    KK Shukla, T Muthumanickam, T Sheela
    Technology Innovation in Mechanical Engineering: Select Proceedings of TIME … , 2022
    2022
    Citations: 5
  • Simulation Transfer of Files from PC To PC Using LAN Trainer Kit
    G Ramachandran, T Muthumanickam, T Sheela, R Thirunavukkarasu
    International Journal of Trend in Research and Development, Volume 2(2 … , 2015
    2015
    Citations: 5
  • Artificial intelligence system based embedded real-time system power optimization and adaptability
    N Ganesan, T Muthumanickam
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 4
  • Application of coagulation and flocculation of water and reuse wastewater treatment in agriculture
    R Sethupathi, CK Dixit, VVH Babu, G Ramachandran, A Arunraja, ...
    AIP Conference Proceedings 2396 (1), 030019 , 2021
    2021
    Citations: 4
  • Study and Analysis of MEMS based Micro-Cantilever Sensor and its Medical Applications
    MKK Shukla, T Muthumanickam, T Sheela
    2019
    Citations: 4