Search Results - "Arunkumar, N."

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  1. 1

    Classification of focal and non focal EEG using entropies by N., Arunkumar, K., Ramkumar, V., Venkatraman, Abdulhay, Enas, Lawrence Fernandes, Steven, Kadry, Seifedine, Segal, Sophia

    Published in Pattern recognition letters (15-07-2017)
    “…•Entropy based features and non linear features are used for classification.•NNGE Classifier with optimized features enhances sensitivity.•The computation time…”
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    Journal Article
  2. 2

    Optimal deep learning model for classification of lung cancer on CT images by S.K., Lakshmanaprabu, Mohanty, Sachi Nandan, K., Shankar, N., Arunkumar, Ramirez, Gustavo

    Published in Future generation computer systems (01-03-2019)
    “…Lung cancer is one of the dangerous diseases that cause huge cancer death worldwide. Early detection of lung cancer is the only possible way to improve a…”
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  3. 3

    Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS) by Santamaria-Granados, Luz, Munoz-Organero, Mario, Ramirez-Gonzalez, Gustavo, Abdulhay, Enas, Arunkumar, N.

    Published in IEEE access (2019)
    “…Recommender systems have been based on context and content, and now the technological challenge of making personalized recommendations based on the user…”
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  4. 4

    A deep learning approach for Parkinson’s disease diagnosis from EEG signals by Oh, Shu Lih, Hagiwara, Yuki, Raghavendra, U., Yuvaraj, Rajamanickam, Arunkumar, N., Murugappan, M., Acharya, U. Rajendra

    Published in Neural computing & applications (01-08-2020)
    “…An automated detection system for Parkinson’s disease (PD) employing the convolutional neural network (CNN) is proposed in this study. PD is characterized by…”
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  5. 5

    A novel nonintrusive decision support approach for heart rate measurement by Fernandes, Steven Lawrence, Gurupur, Varadraj Prabhu, Sunder, Nayak Ramesh, Arunkumar, N, Kadry, Seifedine

    Published in Pattern recognition letters (01-11-2020)
    “…•A novel approach is presented to find human faces and skin regions.•Optimal de-mixing angle α is obtained by searching for a signal with the least…”
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  6. 6

    Hash Based Encryption for Keyframes of Diagnostic Hysteroscopy by Hamza, Rafik, Muhammad, Khan, N., Arunkumar, Ramirez-Gonzalez, Gustavo

    Published in IEEE access (01-01-2018)
    “…In this paper, we address the problem of confidentiality of keyframes, which are extracted from diagnostic hysteroscopy data using video summarization. We…”
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  7. 7

    Secure Medical Data Transmission Model for IoT-Based Healthcare Systems by Elhoseny, Mohamed, Ramirez-Gonzalez, Gustavo, Abu-Elnasr, Osama M., Shawkat, Shihab A., Arunkumar, N., Farouk, Ahmed

    Published in IEEE access (01-01-2018)
    “…Due to the significant advancement of the Internet of Things (IoT) in the healthcare sector, the security, and the integrity of the medical data became big…”
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  8. 8

    Hybrid optimization with cryptography encryption for medical image security in Internet of Things by Elhoseny Mohamed, Shankar, K, Lakshmanaprabu, S K, Andino, Maseleno, Arunkumar, N

    Published in Neural computing & applications (01-08-2020)
    “…The development of the Internet of Things (IoT) is predicted to change the healthcare industry and might lead to the rise of the Internet of Medical Things…”
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  9. 9

    Risk prediction and evaluation of transnational transmission of financial crisis based on complex network by Liu, Chang, Arunkumar, N.

    Published in Cluster computing (01-03-2019)
    “…In this paper, the transmission characteristics of financial crisis in stock market are studied based on complex network. The influences factor and propagation…”
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  10. 10

    Automated detection of schizophrenia using nonlinear signal processing methods by Jahmunah, V., Lih Oh, Shu, Rajinikanth, V., Ciaccio, Edward J., Hao Cheong, Kang, Arunkumar, N., Acharya, U. Rajendra

    Published in Artificial intelligence in medicine (01-09-2019)
    “…•Automated detection of schizophrenia is proposed.•Nonlinear features are extracted from EEG signals.•Obtained classification accuracy of 92.91% using SVM…”
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  11. 11

    Construction of employee training program evaluation system of three exponential forecast based on sliding window by Meng, Guo, Arunkumar, N.

    Published in Cluster computing (01-05-2019)
    “…One construction method for employee training program evaluation system of three exponential forecast based on sliding window has been proposed to improve the…”
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    Journal Article
  12. 12

    Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images by Abdulhay, Enas, Mohammed, Mazin Abed, Ibrahim, Dheyaa Ahmed, Arunkumar, N., Venkatraman, V.

    Published in Journal of medical systems (01-04-2018)
    “…Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size and the…”
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  13. 13

    K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor by Arunkumar, N., Mohammed, Mazin Abed, Abd Ghani, Mohd Khanapi, Ibrahim, Dheyaa Ahmed, Abdulhay, Enas, Ramirez-Gonzalez, Gustavo, de Albuquerque, Victor Hugo C.

    Published in Soft computing (Berlin, Germany) (01-10-2019)
    “…Brain tumor diagnosis is a challenging and difficult process in view of the assortment of conceivable shapes, regions, and image intensities. The pathological…”
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  14. 14

    Characterization of focal EEG signals: A review by Acharya, U. Rajendra, Hagiwara, Yuki, Deshpande, Sunny Nitin, Suren, S., Koh, Joel En Wei, Oh, Shu Lih, Arunkumar, N., Ciaccio, Edward J., Lim, Choo Min

    Published in Future generation computer systems (01-02-2019)
    “…Epilepsy is a common neurological condition that can occur in anyone at any age. Electroencephalogram (EEG) signals of non-focal (NF) and focal (F) types…”
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  15. 15

    Designer Spatial Control of Interactions in Ultracold Gases by Arunkumar, N, Jagannathan, A, Thomas, J E

    Published in Physical review letters (01-02-2019)
    “…Designer optical control of interactions in ultracold atomic gases has wide applications, from creating new quantum phases to modeling the physics of black…”
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  16. 16

    Intelligent optimal route recommendation among heterogeneous objects with keywords by P, Ashokkumar, N, Arunkumar, S, Don

    Published in Computers & electrical engineering (01-05-2018)
    “…Textual information is often added to spatial objects, and thus a spatial search query includes both location-based and textual-based information. For example,…”
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  17. 17

    A 64‐channel scheme for autism detection via scaled conjugate gradient‐based neural network classification of electroencephalogram ripples' complexity by Abdulhay, Enas, Alafeef, Maha, Hadoush, Hikmat, Arunkumar, N.

    Published in Expert systems (01-05-2023)
    “…The description of autism spectrum disorder (ASD) includes typically the alterations in social skills and attitude as well as problems of communication. At…”
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  18. 18

    Automated ASD detection using hybrid deep lightweight features extracted from EEG signals by Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Datta Barua, Prabal, Faust, Oliver, Arunkumar, N., Abdulhay, Enas W., Emma Palmer, Elizabeth, Rajendra Acharya, U.

    Published in Computers in biology and medicine (01-07-2021)
    “…Autism spectrum disorder is a common group of conditions affecting about one in 54 children. Electroencephalogram (EEG) signals from children with autism have…”
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  19. 19

    Classification of Breast Cancer Images by Implementing Improved DCNN with Artificial Fish School Model by Thilagaraj, M, Arunkumar, N., Govindan, Petchinathan

    “…Breast cancer is an important factor affecting human health. This issue has various diagnosis process which were evolved such as mammography, fine needle…”
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  20. 20

    Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions by Abdulhay, Enas, Alafeef, Maha, Hadoush, Hikmat, N, Arunkumar

    Published in Expert systems (01-03-2022)
    “…Autism spectrum disorder (ASD) is a neurological and developmental disorder that commences usually in the early years of age. It impacts the social…”
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