STM Journals Peer-reviewed research from Consortium e-Learning Network

6 publications

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    Human Recognition Biometrics Personal Authentication

    By G. Ramachandran, S. Kannan

    Abstract: AbstractThe importance of utilizing biometrics to determine personal authenticity and to detect imposters is growing within the present scenario of world security concern. Also the event of a biometric system for private identification, which fulfils the need for access control of secured areas and other applications like identity validation for welfare, crime detection, ATM access, computer security, etc. is felt to be the necessity of the day. The human tongue …

    Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 1, 2020 · pp. 1–3 Read article

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    An Electronic System for Real-time Tracking Management System Using GPS, GPRS, Location, Google Earth and Maps

    By G. Ramachandran, S. Kannan, A. Malarvizhi, T. Sheela, G. Suresh Kumar, P.M. Murali

    Abstract: AbstractThis paper is specialised in developing associate degree sweetening of the vehicle alarm security system via SMS. The system can manipulate an itinerant to send SMS (Short Message Service). The SMS is sent for victimisation to the options offered within the mobile. The study of telecommunication is a motivating field which involves digital signal process, signal and systems, programming etc. It helps to improvise the technology into daily use. During …

    Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 1–5 Read article

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    Applications of Artificial Intelligence in Agriculture

    By G. Ramachandran, T. Sheela, S. Kannan, A. Malarvizhi, G. Sureshkumar, P.M. Murali, G. Murali

    Abstract: Every day, farms produce thousands of information points on temperature, soil, usage of water, atmospheric phenomenon, etc. With the assistance of computer science and machine learning models, this data is leveraged in real-time for obtaining useful insights like choosing the correct time to plant seeds, determining the crop choices, hybrid seed choices etc.Keywords: Artificial intelligence, agriculture robots, agriculture, intelligent spraying, temperature, soil, water, machine learningCite this Article G. Ramachandran, T. …

    Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 1–3 Read article

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    Medical Healthcare Applications

    By G. Ramachandran, T. Muthumanickam, T. Sheela, A. Malarvizhi, G. Sureshkumar, S. Kannan, G. Murali, R. Sankarganesh

    Abstract: Medical imaging may be a heatedly contested field wherever winning merchandise maximize healthcare price by providing the simplest pictures within the shortest quantity of your time to assure correct designation and treatment for patients whereas maximizing the potency of workers and facilities. The advancement of medical imaging has resulted in terribly giant knowledge sets and progressively advanced algorithms golf stroke ever-growing demands on process power and gap plenty of opportunities …

    Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 35–38 Read article

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    Internet of Things in Healthcare

    By G. Ramachandran, S. Kannan, T. Sheela, A. Malarvizhi, P.M. Murali, G. Sureshkumar

    Abstract: Internet of Things (IoT)-enabled devices have made remote monitoring in the healthcare sector possible, unleashing the potential to keep patients safe and healthy, and empowering physicians to deliver superlative care. It has also increased patient engagement and satisfaction as interactions with doctors have become easier and more efficient. Furthermore, remote monitoring of patient’s health helps in reducing the length of hospital stay and prevents re-admissions. IoT also has a major …

    Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 1, 2019 · pp. 10–12 Read article

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    Artificial Intelligence in Medical Fields

    By G. Ramachandran, T. Sheela, G. Sureshkumar, S. Kannan, N. Manikanda Devarajan, G. Murali

    Abstract: Artificial intelligence (AI) is a branch of computer science capable of analyzing complex medical data. This can be used in diagnosis, treatment and predicting outcome in many clinical scenarios. Medicine and internet searches were carried out using the keywords ‘artificial intelligence’ and ‘neural networks’. An overview of different AI techniques is presented in this paper along with the review of importance in clinical applications. The proficiency of AI techniques has …

    Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 1, 2019 · pp. 1–3 Read article

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