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ORCIDArunkumar N.
N. Arunkumar
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- affiliation: SASTRA University, Tamil Nadu, India
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2020 – today
- 2024
[j59]N. Arunkumar, Balakrishnan Nagaraj, M. Ruth Keziah:
Optimized wavelet and feature set of EEG signal for Parkinson disease classification. J. Intell. Fuzzy Syst. 46(4): 9271-9290 (2024)- 2023
- [j58]Enas W. Abdulhay
, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
A 64-channel scheme for autism detection via scaled conjugate gradient-based neural network classification of electroencephalogram ripples' complexity. Expert Syst. J. Knowl. Eng. 40(4) (2023) - 2022
- [j57]Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions. Expert Syst. J. Knowl. Eng. 39(3) (2022) - 2021
- [j56]Mehmet Baygin, Sengül Dogan, Türker Tuncer, Prabal Datta Barua, Oliver Faust, Arunkumar N., Enas W. Abdulhay, Elizabeth Emma Palmer, U. Rajendra Acharya:
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals. Comput. Biol. Medicine 134: 104548 (2021) - [j55]Chaitra Sridhar, Shu Lih Oh, V. Jahmunah, Joel E. W. Koh, Edward J. Ciaccio, Ru San Tan, Arunkumar N., Seifedine Nimer Kadry, U. Rajendra Acharya:
Accurate detection of myocardial infarction using non linear features with ECG signals. J. Ambient Intell. Humaniz. Comput. 12(3): 3227-3244 (2021) - [j54]M. Thilagaraj, N. Arunkumar, S. Ramkumar, S. Hariharasitaraman:
Electrooculogram signal identification for elderly disabled using Elman network. Microprocess. Microsystems 82: 103811 (2021) - 2020
- [j53]Arunkumar N., Mazin Abed Mohammed, Salama A. Mostafa, Dheyaa Ahmed Ibrahim, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks. Concurr. Comput. Pract. Exp. 32(1) (2020) - [j52]Arunkumar N., P. Mohamed Shakeel, Venkatraman V.:
Automatic identification of acute arthritis from ayurvedic wrist pulses. Int. J. Comput. Aided Eng. Technol. 12(1): 68-73 (2020) - [j51]Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
Resting state EEG-based diagnosis of Autism via elliptic area of continuous wavelet transform complex plot. J. Intell. Fuzzy Syst. 39(6): 8599-8607 (2020) - [j50]Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, Yuvaraj Rajamanickam, Arunkumar N., M. Murugappan, U. Rajendra Acharya:
A deep learning approach for Parkinson's disease diagnosis from EEG signals. Neural Comput. Appl. 32(15): 10927-10933 (2020) - [j49]Solon Alves Peixoto, Pedro Pedrosa Rebouças Filho, Arunkumar N., Victor Hugo C. de Albuquerque:
Automatic classification of pulmonary diseases using a structural co-occurrence matrix. Neural Comput. Appl. 32(15): 10935-10945 (2020) - [j48]Enas W. Abdulhay, Maha Alafeef, Loai Alzghoul, Miral Al Momani, Rabah M. Al abdi, Arunkumar N., Roberto Muñoz, Victor Hugo C. de Albuquerque:
Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition. Neural Comput. Appl. 32(15): 10947-10956 (2020) - [j47]Steven Lawrence Fernandes, Varadraj Prabhu Gurupur, Ramesh Sunder Nayak, Arunkumar N., Seifedine Nimer Kadry:
A novel nonintrusive decision support approach for heart rate measurement. Pattern Recognit. Lett. 139: 148-156 (2020) - [j46]Renato F. Pereira, Valberto E. R. da Silva Filho, Lorena B. Moura, Arunkumar N., Auzuir Ripardo de Alexandria, Victor Hugo C. de Albuquerque:
Automatic quantification of spheroidal graphite nodules using computer vision techniques. J. Supercomput. 76(2): 1212-1225 (2020)
2010 – 2019
- 2019
- [j45]Luz Santamaria-Granados, Mario Muñoz Organero, Gustavo Ramírez-González, Enas W. Abdulhay, Arunkumar N.:
Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS). IEEE Access 7: 57-67 (2019) - [j44]U. Rajendra Acharya, Kristen M. Meiburger, Joel E. W. Koh, Edward J. Ciaccio, Arunkumar N., Mee Hoong See, Nur Aishah Mohd Taib, Anushya Vijayananthan, Kartini Rahmat, Farhana Fadzli, Sook Sam Leong, Caroline Judy Westerhout, Ángela Chantre Astaiza, Gustavo Ramírez-González:
A Novel Algorithm for Breast Lesion Detection Using Textons and Local Configuration Pattern Features With Ultrasound Imagery. IEEE Access 7: 22829-22842 (2019) - [j43]Anjan Gudigar, U. Raghavendra, Edward J. Ciaccio, Arunkumar N., Enas W. Abdulhay, U. Rajendra Acharya:
Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study. IEEE Access 7: 28498-28509 (2019) - [j42]V. Jahmunah, Shu Lih Oh, V. Rajinikanth, Edward J. Ciaccio, Kang Hao Cheong, Arunkumar N., U. Rajendra Acharya:
Automated detection of schizophrenia using nonlinear signal processing methods. Artif. Intell. Medicine 100 (2019) - [j41]Gustavo Ramírez-González, Arunkumar N.:
Introduction to the special section on Hybrid Artificial Intelligence Applications. Comput. Electr. Eng. 73: 374-375 (2019) - [j40]M. Vardhana, Arunkumar N., Enas W. Abdulhay, P. V. Vishnuprasad:
Iot based real time trafic control using cloud computing. Clust. Comput. 22(Suppl 1): 2495-2504 (2019) - [j39]Xiao Chen, Liang Pang, Pengze Guo, Xingping Sun, Zhi Xue, N. Arunkumar:
New upper degree of freedom in transmission system based on wireless G-MIMO communication channel. Clust. Comput. 22(Supplement): 4091-4099 (2019) - [j38]Chang Liu, N. Arunkumar:
Risk prediction and evaluation of transnational transmission of financial crisis based on complex network. Clust. Comput. 22(Supplement): 4307-4313 (2019) - [j37]Moein Sarvaghad-Moghaddam, Ali A. Orouji, Zeinab Ramezani, Mohamed Elhoseny, Ahmed Farouk, Arunkumar N.:
Modelling the spice parameters of SOI MOSFET using a combinational algorithm. Clust. Comput. 22(Supplement): 4683-4692 (2019) - [j36]Junting Chen, N. Arunkumar:
Quantified comparative analysis of innovation and innovation based on multi orientation from the perspective of education and culture. Clust. Comput. 22(Supplement): 4711-4718 (2019) - [j35]Guo Meng, N. Arunkumar:
Construction of employee training program evaluation system of three exponential forecast based on sliding window. Clust. Comput. 22(Supplement): 6865-6870 (2019) - [j34]Salama A. Mostafa, Aida Mustapha, Mazin Abed Mohammed, Raed Ibraheem Hamed, Arunkumar N., Mohd Khanapi Abd Ghani, Mustafa Musa Jaber, Shihab Hamad Khaleefah:
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson's disease. Cogn. Syst. Res. 54: 90-99 (2019) - [j33]Ammar Awad Mutlag, Mohd Khanapi Abd Ghani, Arunkumar N., Mazin Abed Mohammed, Othman Mohd:
Enabling technologies for fog computing in healthcare IoT systems. Future Gener. Comput. Syst. 90: 62-78 (2019) - [j32]U. Rajendra Acharya, Yuki Hagiwara, Sunny Nitin Deshpande, S. Suren, Joel E. W. Koh, Shu Lih Oh, Arunkumar N., Edward J. Ciaccio, Choo Min Lim:
Characterization of focal EEG signals: A review. Future Gener. Comput. Syst. 91: 290-299 (2019) - [j31]Dongdong Jiao, Arunkumar N., Wenyu Zhang, Beibei Li, Xinlei Zhang, Guangjian Zhu:
Semantic clustering fuzzy c means spectral model based comparative analysis of cardiac color ultrasound and electrocardiogram in patients with left ventricular heart failure and cardiomyopathy. Future Gener. Comput. Syst. 92: 324-328 (2019) - [j30]S. K. Lakshmanaprabu, Sachi Nandan Mohanty, K. Shankar, Arunkumar N., Gustavo Ramírez-González:
Optimal deep learning model for classification of lung cancer on CT images. Future Gener. Comput. Syst. 92: 374-382 (2019) - [j29]Zhichao Wu, Han Wang, Arunkumar N.:
Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction. Future Gener. Comput. Syst. 93: 170-175 (2019) - [j28]Haoyu Li, Jianxing Li, Arunkumar N., Ahmed Faeq Hussein, Mustafa Musa Jaber:
An IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability. Future Gener. Comput. Syst. 98: 69-77 (2019) - [j27]Weijie Wang, Gaopeng Zhang, Luming Yang, V. S. Balaji, Elamaran Vellaiappan, Arunkumar N.:
Revisiting signal processing with spectrogram analysis on EEG, ECG and speech signals. Future Gener. Comput. Syst. 98: 227-232 (2019) - [j26]Dong-Wei Liu, Run-Ping Jia, Cai-Feng Wang, Arunkumar N., Kumaravelu Narasimhan, M. Udayakumar, Elamaran Vellaiappan:
Automated detection of cancerous genomic sequences using genomic signal processing and machine learning. Future Gener. Comput. Syst. 98: 233-237 (2019) - [j25]Kong MingRu, Qin Zheng, Song Kui Yan, N. Arunkumar:
Medical image classification algorithm based on principal component feature dimensionality reduction. Future Gener. Comput. Syst. 98: 627-634 (2019) - [j24]K. Rajesh, V. Ramaswamy, K. Kannan, Arunkumar N.:
Satellite cloud image classification for cyclone prediction using Dichotomous Logistic Regression Based Fuzzy Hypergraph model. Future Gener. Comput. Syst. 98: 688-696 (2019) - [j23]Jardel das C. Rodrigues, Pedro Pedrosa Rebouças Filho, Eugenio Peixoto Jr, Arunkumar N., Victor Hugo C. de Albuquerque:
Classification of EEG signals to detect alcoholism using machine learning techniques. Pattern Recognit. Lett. 125: 140-149 (2019) - [j22]Arunkumar N., Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Dheyaa Ahmed Ibrahim, Enas W. Abdulhay, Gustavo Ramírez-González, Victor Hugo C. de Albuquerque:
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor. Soft Comput. 23(19): 9083-9096 (2019) - 2018
- [j21]Mohamed Elhoseny, Gustavo Ramírez-González, Osama M. Abu-Elnasr, Shihab A. Shawkat, Arunkumar N., Ahmed Farouk:
Secure Medical Data Transmission Model for IoT-Based Healthcare Systems. IEEE Access 6: 20596-20608 (2018) - [j20]Ahmed Faeq Hussein, Arunkumar N., Chandima Gomes, Abbas K. AlZubaidi, Qais A. Habash, Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramírez-González:
Focal and Non-Focal Epilepsy Localization: A Review. IEEE Access 6: 49306-49324 (2018) - [j19]G. Bagyalakshmi, G. Rajkumar, Arunkumar N., M. Easwaran, Kumaravelu Narasimhan, Elamaran Vellaiappan, Mario Solarte Sarasty, Ivan Hernandez, Gustavo Ramírez-González:
Network Vulnerability Analysis on Brain Signal/Image Databases Using Nmap and Wireshark Tools. IEEE Access 6: 57144-57151 (2018) - [j18]Elamaran Vellaiappan, Arunkumar N., G. Venkat Babu, V. S. Balaji, Jorge Gomez, Cristhian Figueroa, Gustavo Ramírez-González:
Exploring DNS, HTTP, and ICMP Response Time Computations on Brain Signal/Image Databases using a Packet Sniffer Tool. IEEE Access 6: 59672-59678 (2018) - [j17]Rafik Hamza, Khan Muhammad, Arunkumar N., Gustavo Ramírez-González:
Hash Based Encryption for Keyframes of Diagnostic Hysteroscopy. IEEE Access 6: 60160-60170 (2018) - [j16]Jiajie Liu, Kumaravelu Narasimhan, Elamaran Vellaiappan, Arunkumar N., Mario Solarte Sarasty, Gustavo Ramírez-González:
Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals. IEEE Access 6: 61457-61461 (2018) - [j15]Elamaran Vellaiappan, Arunkumar N., Ahmed Faeq Hussein, Mario Solarte Sarasty, Gustavo Ramírez-González:
Spectral Fault Recovery Analysis Revisited With Normal and Abnormal Heart Sound Signals. IEEE Access 6: 62874-62879 (2018) - [j14]Carlos Andres Gonzalez-Amarillo, Juan Carlos Corrales-Muñoz, Miguel Angel Mendoza-Moreno, Angela Maria Gonzalez Amarillo, Ahmed Faeq Hussein, Arunkumar N., Gustavo Ramírez-González:
An IoT-Based Traceability System for Greenhouse Seedling Crops. IEEE Access 6: 67528-67535 (2018) - [j13]Ahmed Faeq Hussein, Arunkumar N., Marlon Burbano-Fernandez, Gustavo Ramírez-González, Enas W. Abdulhay, Victor Hugo C. de Albuquerque:
An Automated Remote Cloud-Based Heart Rate Variability Monitoring System. IEEE Access 6: 77055-77064 (2018) - [j12]Ashokkumar Palanivinayagam, Arunkumar N., S. Don:
Intelligent optimal route recommendation among heterogeneous objects with keywords. Comput. Electr. Eng. 68: 526-535 (2018) - [j11]Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Arunkumar N., Omar Ibrahim Obaid, Salama A. Mostafa, Mustafa Musa Jaber, Burhanuddin Mohd Aboobaider, Bilal Mohammed Matar, Saif khalid abdullatif, Dheyaa Ahmed Ibrahim:
Genetic case-based reasoning for improved mobile phone faults diagnosis. Comput. Electr. Eng. 71: 212-222 (2018) - [j10]Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Arunkumar N., Salama A. Mostafa, Mohamad Khir Abdullah, Burhanuddin Mohd Aboobaider:
Trainable model for segmenting and identifying Nasopharyngeal carcinoma. Comput. Electr. Eng. 71: 372-387 (2018) - [j9]M. Vardhana, Arunkumar N., Sunitha Lasrado, Enas W. Abdulhay, Gustavo Ramírez-González:
Convolutional neural network for bio-medical image segmentation with hardware acceleration. Cogn. Syst. Res. 50: 10-14 (2018) - [j8]Ahmed Faeq Hussein, Arunkumar N., Gustavo Ramírez-González, Enas W. Abdulhay, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque:
A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform. Cogn. Syst. Res. 52: 1-11 (2018) - [j7]Deepak Gupta, Arnav Julka, Sanchit Jain, Tushar Aggarwal, Ashish Khanna, Arunkumar N., Victor Hugo C. de Albuquerque:
Optimized cuttlefish algorithm for diagnosis of Parkinson's disease. Cogn. Syst. Res. 52: 36-48 (2018) - [j6]Enas W. Abdulhay, Arunkumar N., Kumaravelu Narasimhan, Elamaran Vellaiappan, Venkatraman V.:
Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease. Future Gener. Comput. Syst. 83: 366-373 (2018) - [j5]Jianliang Wei, Fei Meng, Arunkumar N.:
A personalized authoritative user-based recommendation for social tagging. Future Gener. Comput. Syst. 86: 355-361 (2018) - [j4]Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Arunkumar N., Raed Ibraheem Hamed, Mohamad Khir Abdullah, Burhanuddin Mohd Aboobaider:
A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear. Future Gener. Comput. Syst. 89: 539-547 (2018) - [j3]Enas W. Abdulhay, Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, Arunkumar N., Venkatraman V.:
Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images. J. Medical Syst. 42(4): 58:1-58:12 (2018) - [j2]Arunkumar N., K. Ram Kumar, V. Venkataraman:
Entropy features for focal EEG and non focal EEG. J. Comput. Sci. 27: 440-444 (2018) - [c1]João B. A. Gomes, Joel J. P. C. Rodrigues, Jalal Al-Muhtadi, Arunkumar N., Ricardo A. L. Rabêlo, Vasco Furtado:
An IoT-Based Smart Solution for Preventing Domestic CO and LPG Gas Accidents. LATINCOM 2018: 1-6 - 2017
- [j1]Arunkumar N., Kannan Ramkumar, Venkatraman V., Enas W. Abdulhay, Steven Lawrence Fernandes, Seifedine Nimer Kadry, Sophia Segal:
Classification of focal and non focal EEG using entropies. Pattern Recognit. Lett. 94: 112-117 (2017)
Coauthor Index
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