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  1. No Access

    Chapter and Conference Paper

    Performance Analysis of AES and DES Algorithm for Encrypting Medical Record Using Blockchain

    Secure storage and exchange of health information has emerged as a focus of research in the area of medical technology. The healthcare sector has a high requirement for data security and privacy because most o...

    J. A. Madhurya, K. Meena in Cyber Security and Digital Forensics (2024)

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    Article

    Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease

    It is found that, chronic kidney disease (CKD) is prevalence worldwide. Quality of life (QoL) in terms of health became an essential measure for patients with CKD. This paper uses the real-time dataset of CKD ...

    K. Meena, A. Vadivel, P. Sumathy, Abu Taha Zamani, Sultan M. Alanazi in Soft Computing (2023)

  3. Article

    Performance evaluation of deep learning techniques for lung cancer prediction

    Due to the increase in pollution, the number of deaths caused by lung disease is rising rapidly. It is essential to predict the disease in earlier stages by means of high-level knowledge and acquaintance. Deep...

    B. S. Deepapriya, Parasuraman Kumar, G. Nandakumar, S. Gnanavel in Soft Computing (2023)

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    Article

    Smart cataract detection system with bidirectional LSTM

    Traditional IT with advent of convolution neural networks and deep learning can lead a trendsetter for healthcare sector, diseases identification and prediction. An essential upsurge during pandemic is virtual...

    B. J. D. Kalyani, U. Hemavathi, K. Meena, B. S. Deepapriya in Soft Computing (2023)

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    Article

    Analysis of MRI brain tumor images using deep learning techniques

    A popular deep learning-based object detection technique is the 'You Only Look Once' v3 (YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was trained using a set of 3064 pre-proce...

    B. J. D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan in Soft Computing (2023)

  6. No Access

    Article

    Deep learning techniques for prediction of pneumonia from lung CT images

    Pneumonia disease is caused by viruses and bacteria which affect one or both lungs. It is the most dangerous disease that causes huge cancer death worldwide. Early detection of Pneumonia is the only way to imp...

    K. Meena, T. Veeramakali, Ngangbam Herojit Singh, L. Jayakumar in Soft Computing (2023)

  7. No Access

    Chapter and Conference Paper

    Quality Rating Application for Victual Recipes Using Facial Analysis

    In real world applications, people can find number of recipes online. Here using facial analysis method, food recipes rating application is developed. Some recipes might be authentic and few recipes might not ...

    C. Shyamala Kumari, Manoharan Pon Suresh in IoT Based Control Networks and Intelligent… (2023)

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    Chapter and Conference Paper

    Smart Applicatıon for Voice Over Control on Electronic Devices Usıng NodeMCU

    In recent years, automated device control has been a key demand in develo** the future electronic devices. The electronic devices are made smart and autonomous by incorporating sensors and other related mate...

    S. Florence, Lakshmi Narayanan, K. Meena in IoT Based Control Networks and Intelligent… (2023)

  9. No Access

    Article

    Deep neural network with reduced feature for classification of breast cancer mammogram

    Breast disease is the prevalent malignant growth in female all over the world and it is expanding in non-industrial nations, where most cases are analysed late. Mammography remains the best symptomatic advance...

    N. N. Krishna Veni, V. Preetha, K. Meena, T. Kamaleshwar, A. V. R. Mayuri in Soft Computing (2022)

  10. No Access

    Article

    A novel method for prediction of skin disease through supervised classification techniques

    Skin diseases are the most important worrying problems in societies because it affects the patients both physically and psychologically. Skin disease is one of the highly prone to risk with an association of c...

    K. Meena, N. N. Krishna Veni, B. S. Deepapriya, P. A. Harsha Vardhini in Soft Computing (2022)

  11. No Access

    Chapter and Conference Paper

    Parkinson’s Disease Prediction Through Machine Learning Techniques

    Parkinson’s disease is a progressive Neurodegenerative disorder that affects the quality of life. As per World Health Organization (WHO) survey, 95% affected people with Parkinson’s disease have speech disorde...

    Angeline Lydia, K. Meena, R. Raja Sekar in Machine Learning and Autonomous Systems (2022)

  12. No Access

    Chapter and Conference Paper

    An Automated Attendance System Through Multiple Face Detection and Recognition Methods

    In this paper, a face detection-based attendance system is proposed and the comparison between different algorithms is evaluated. Haar cascade is used for face detection and for face recognition is implemented...

    K. Meena, J. N. Swaminathan, T. Rajendiran in Innovative Data Communication Technologies… (2022)

  13. No Access

    Chapter and Conference Paper

    Investigation and Analysis of Path Evaluation for Sustainable Communication Using VANET

    Today, the taskforce is getting increasing and the streets are getting more hazardous by the impact of blockage and increment of crashes. Intelligent transportation systems (ITS) are utilized to incorporate da...

    D. Rajalakshmi, K. Meena, N. Vijayaraj, G. Uganya in Computer Networks, Big Data and IoT (2021)

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    Article

    Performance evaluation of cybercriminal detection through cluster computing techniques

    The cybercrime has evolved as the years ago and the criminals use different techniques to capture the victims. Researchers have devised various techniques to detect the cybercriminal. Hence, a new technology h...

    K. Meena, K. Veena in Journal of Ambient Intelligence and Humanized Computing (2019)

  15. No Access

    Article

    Implementing file and real time based intrusion detections in secure direct method using advanced honeypot

    Intrusion detection need grows with the increase in the count and volume of Internet Traffic and Network. In this paper, intrusion detection system (IDS) is proposed to identify and distinguish the incoming tr...

    K. Veena, K. Meena in Cluster Computing (2019)

  16. No Access

    Article

    Reduced Time Compression in Big Data Using MapReduce Approach and Hadoop

    An exponential rise has been observed in the data volume over the time when considering a real time environment. A phenomenal feature termed as ‘Predictability’ helps in predicting and portraying related data ...

    K. Meena, J. Sujatha in Journal of Medical Systems (2019)

  17. No Access

    Article

    An enhanced square-grid structure for additive manufacturing and improved auxetic responses

    Auxetic structures exhibit negative Poisson’s ratios based on the deflection characteristics of the macrostructural forms generated by integrating specific base units. Considering the advantages of the abnorma...

    K. Meena, E. P. Calius, S. Singamneni in International Journal of Mechanics and Mat… (2019)

  18. No Access

    Article

    Urea/thiourea induced crystal growth of ammonium nickel sulfate hexahydrate and characterization studies

    Single crystals of ammonium nickel sulfate hexahydrate, (NH4)2Ni(SO4)2·6H2O (ANSH), are grown by conventional slow evaporation solution growth technique at room temperature from an aqueous solution containing an...

    K. Meena, K. Muthu, M. Rajasekar in Journal of Thermal Analysis and Calorimetry (2015)

  19. No Access

    Article

    Growth, structure, and characterization of tris(thiourea)silver(I) nitrate

    Single crystals of tris(thiourea)silver(I) nitrate have been grown by slow evaporation solution growth technique from an aqueous solution at 25 °C. The single crystal X-ray diffraction study reveals that the c...

    K. Meena, K. Muthu, M. Rajasekar in Journal of Thermal Analysis and Calorimetry (2013)

  20. No Access

    Article

    Classification of speech signal based on gender: a hybrid approach using neuro-fuzzy systems

    One of the most important processes in speech processing is gender classification. Generally gender classification is done by considering pitch as feature. In general the pitch value of female is higher than t...

    M. Gomathy, K. Meena, K. R. Subramaniam in International Journal of Speech Technology (2011)

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