Arunkumar N.

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 58

Top Topics

Machine Learning

Top Venues

Future Gener. Comput. Syst.

Neural Comput. Appl.

Cogn. Syst. Res.

Publications

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)
Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Arunkumar N., Raed Ibraheem Hamed, Salama A. Mostafa, Mohamad Khir Abdullah, Burhanuddin Mohd Aboobaider
Retraction Note: Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network. J. Supercomput. 79 (5) (2023)
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)
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) (2021)
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)
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) (2020)
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) (2020)
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 (2020)
Arunkumar N., P. Mohamed Shakeel, Venkatraman V.
Automatic identification of acute arthritis from ayurvedic wrist pulses. Int. J. Comput. Aided Eng. Technol. 12 (1) (2020)
Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Arunkumar N., Raed Ibraheem Hamed, Salama A. Mostafa, Mohamad Khir Abdullah, Burhanuddin Mohd Aboobaider
Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network. J. Supercomput. 76 (2) (2020)
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) (2020)
Mohamed Elhoseny, K. Shankar, S. K. Lakshmanaprabu, Andino Maseleno, Arunkumar N.
Hybrid optimization with cryptography encryption for medical image security in Internet of Things. Neural Comput. Appl. 32 (15) (2020)
Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, Arunkumar N., Salama A. Mostafa, Dheyaa Ahmed Ibrahim, Mohamad Khir Abdullah, Mustafa Musa Jaber, Enas W. Abdulhay, Gustavo Ramírez-González, Burhanuddin Mohd Aboobaider
Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques. Neural Comput. Appl. 32 (3) (2020)
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) (2020)
Aditya Khamparia, Aman Singh, Divya Anand, Deepak Gupta, Ashish Khanna, Arunkumar N., Joseph Tan
A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders. Neural Comput. Appl. 32 (15) (2020)
B. R. Sathishkumar, B. Sundaravadivazhagan, Betty Martin, G. Sasi, M. Chandrasekar, S. Rakesh Kumar, Elamaran Vellaiappan, V. S. Balaji, Arunkumar N.
Revisiting computer networking protocols by wireless sniffing on brain signal/image portals. Neural Comput. Appl. 32 (15) (2020)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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) (2019)
Gustavo Ramírez-González, Arunkumar N.
Introduction to the special section on Hybrid Artificial Intelligence Applications. Comput. Electr. Eng. 73 (2019)
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) (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
M. Vardhana, Arunkumar N., Enas W. Abdulhay, P. V. Vishnuprasad
Iot based real time trafic control using cloud computing. Clust. Comput. 22 (Suppl 1) (2019)
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 (2019)
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 (2019)
Areen K. Al-Bashir, Mohammad A. Al-Abed, Hala K. Amari, Fadi M. Al-Rousan, Omar M. K. Bashmaf, Enas W. Abdulhay, Rabah M. Al abdi, Arunkumar N., B. R. Tapas Bapu, Ahmad K. Al-Basheer
Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images. Neural Comput. Appl. 31 (5) (2019)
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 (2019)
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 (2019)
Arunkumar N., K. Ram Kumar, V. Venkataraman
Entropy features for focal EEG and non focal EEG. J. Comput. Sci. 27 (2018)
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)
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 (2018)
Rafik Hamza, Khan Muhammad, Arunkumar N., Gustavo Ramírez-González
Hash Based Encryption for Keyframes of Diagnostic Hysteroscopy. IEEE Access 6 (2018)
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) (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
Jianliang Wei, Fei Meng, Arunkumar N.
A personalized authoritative user-based recommendation for social tagging. Future Gener. Comput. Syst. 86 (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
Ashokkumar Palanivinayagam, Arunkumar N., S. Don
Intelligent optimal route recommendation among heterogeneous objects with keywords. Comput. Electr. Eng. 68 (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2017)