N. Arunkumar

发表

Brain-Actuated Wireless Mobile Robot Control Through an Adaptive Human–Machine Interface

L. Ramya Stephygraph, N. Arunkumar, N. Arunkumar, 2016 .

Fuzzy Lyapunov exponent based onset detection of the epileptic seizures

K. Ramkumar, N. Arunkumar, S. Hema, 2013, 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES.

Characterization of focal EEG signals: A review

U. Rajendra Acharya, N. Arunkumar, Choo Min Lim, 2019, Future Gener. Comput. Syst..

Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images

N. Arunkumar, Mazin Abed Mohammed, Enas W. Abdulhay, 2018, Journal of Medical Systems.

Wireless mobile robot control through human machine interface using brain signals

L. Ramya Stephygraph, N. Arunkumar, V. Venkatraman, 2015, 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM).

Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network

N. Arunkumar, Mazin Abed Mohammed, Salama A. Mostafa, 2018, The Journal of Supercomputing.

Bayesian analysis model for the use of anesthetic analgesic drugs in cancer patients based on geometry reconstruction

N. Arunkumar, Zhichao Wu, Han Wang, 2019, Future Gener. Comput. Syst..

Hybrid optimization with cryptography encryption for medical image security in Internet of Things

Mohamed Elhoseny, N. Arunkumar, Andino Maseleno, 2018, Neural Computing and Applications.

Convolutional neural network for bio-medical image segmentation with hardware acceleration

N. Arunkumar, Sunitha Lasrado, Enas W. Abdulhay, 2018, Cognitive Systems Research.

EVOLUTIONARY APPROACH IN PROCESS IMPROVEMENT — A CASE STUDY IN AUTO ELECTRICAL ALTERNATOR MANUFACTURING

N. Arunkumar, A. Balaji, L. Karunamoorthy, 2012 .

A deep learning approach for Parkinson’s disease diagnosis from EEG signals

U. Raghavendra, U. Rajendra Acharya, N. Arunkumar, 2018, Neural Computing and Applications.

Linear approach for solving a piecewise linear vendor selection problem of quantity discounts using lexicographic method

N. Arunkumar, L. Karunamoorthy, S. Anand, 2006 .

Automatic detection of epileptic seizures using Independent Component Analysis Algorithm

N. Arunkumar, V. S. Balaji, S. Natarajan, 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

Revisiting computer networking protocols by wireless sniffing on brain signal/image portals

N. Arunkumar, V. S. Balaji, B. Sundaravadivazhagan, 2018, Neural Computing and Applications.

Automatic Detection of Epileptic Seizures Using New Entropy Measures

N. Arunkumar, V. Venkataraman, K. Ram Kumar, 2016 .

Automated Categorization of Multi-Class Brain Abnormalities Using Decomposition Techniques With MRI Images: A Comparative Study

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2019, IEEE Access.

Genetic case-based reasoning for improved mobile phone faults diagnosis

N. Arunkumar, Mazin Abed Mohammed, Salama A. Mostafa, 2018, Comput. Electr. Eng..

Mapping the structure and evolution of heavy vehicle research: a scientometric analysis and visualisation

N. Arunkumar, Angela Chantre-Astaiza, V. Venkatraman, 2018 .

A novel nonintrusive decision support approach for heart rate measurement

N. Arunkumar, Seifedine Kadry, Steven Lawrence Fernandes, 2017, Pattern Recognit. Lett..

A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear

N. Arunkumar, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, 2018, Future Gener. Comput. Syst..

Enabling technologies for fog computing in healthcare IoT systems

N. Arunkumar, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, 2019, Future Gener. Comput. Syst..

Intelligent optimal route recommendation among heterogeneous objects with keywords

N. Arunkumar, Ashokkumar Palanivinayagam, S. Don, 2018, Comput. Electr. Eng..

Data Mining Algorithms, Fog Computing

N. Arunkumar, A. Jayanthiladevi, S. Thilagamani, 2018 .

Introduction to the special section on Hybrid Artificial Intelligence Applications

N. Arunkumar, Gustavo A. Ramírez González, 2019, Comput. Electr. Eng..

An IoMT cloud-based real time sleep apnea detection scheme by using the SpO2 estimation supported by heart rate variability

N. Arunkumar, Li Haoyu, Mustafa Musa Jaber, 2019, Future Gener. Comput. Syst..

Optimization of Inventory Routing Problem to Minimize Carbon Dioxide Emission

N. Arunkumar, L. Karunamoorthy, T. Balamurugan, 2018 .

A personalized authoritative user-based recommendation for social tagging

Fei Meng, N. Arunkumar, Jianliang Wei, 2018, Future Gener. Comput. Syst..

Entropy features for focal EEG and non focal EEG

N. Arunkumar, K. Ram Kumar, V. Venkataraman, 2018, J. Comput. Sci..

A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform

N. Arunkumar, João Manuel R. S. Tavares, Victor Hugo C. de Albuquerque, 2018, Cognitive Systems Research.

Automated detection of cancerous genomic sequences using genomic signal processing and machine learning

N. Arunkumar, Elamaran Vellaiappan, Kumaravelu Narasimhan, 2019, Future Gener. Comput. Syst..

Trainable model for segmenting and identifying Nasopharyngeal carcinoma

N. Arunkumar, Mazin Abed Mohammed, Salama A. Mostafa, 2018, Comput. Electr. Eng..

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease

N. Arunkumar, Enas W. Abdulhay, V. Venkatraman, 2018, Future Gener. Comput. Syst..

Fault-tolerant medical imaging system with quintuple modular redundancy (QMR) configurations

N. Arunkumar, V. Elamaran, V. Venkataraman, 2018 .

Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition

N. Arunkumar, Victor Hugo C. de Albuquerque, Maha Alafeef, 2018, Neural Computing and Applications.

Satellite cloud image classification for cyclone prediction using Dichotomous Logistic Regression Based Fuzzy Hypergraph model

N. Arunkumar, K. Rajesh, K. Kannan, 2019, Future Gener. Comput. Syst..

Classification of focal and non focal EEG using entropies

N. Arunkumar, Seifedine Kadry, Enas W. Abdulhay, 2017, Pattern Recognit. Lett..

Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks

N. Arunkumar, Mazin Abed Mohammed, Victor Hugo C. de Albuquerque, 2018, Concurr. Comput. Pract. Exp..

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

N. Arunkumar, Li Beibei, Zhang Wenyu, 2019, Future Gener. Comput. Syst..

Automatic Detection of Epileptic Seizures Using Permutation Entropy, Tsallis Entropy and Kolmogorov Complexity

N. Arunkumar, V. Venkataraman, K. Ram Kumar, 2016 .

Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

N. Arunkumar, Deepak Gupta, Ashish Khanna, 2018, Cognitive Systems Research.

Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson’s disease

N. Arunkumar, Aida Mustapha, Mazin Abed Mohammed, 2019, Cognitive Systems Research.

Computer-based Cobb angle measurement using deflection points in adolescence idiopathic scoliosis from radiographic images

N. Arunkumar, Enas W. Abdulhay, B. R. Tapas Bapu, 2018, Neural Computing and Applications.

Optimal deep learning model for classification of lung cancer on CT images

N. Arunkumar, Sachi Nandan Mohanty, S. K. Lakshmanaprabu, 2019, Future Gener. Comput. Syst..

A study of software pools for seismogeology-related software based on the Docker technique

N. Arunkumar, ShuRen Liu, ChangNing Cai, 2017 .

Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques

N. Arunkumar, Mazin Abed Mohammed, Enas Abdulhay, 2018, Neural Computing and Applications.

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals

N. Arunkumar, Oliver Faust, Enas W. Abdulhay, 2021, Comput. Biol. Medicine.

Electrooculogram signal identification for elderly disabled using Elman network

N. Arunkumar, M. Thilagaraj, S. Ramkumar, 2021, Microprocess. Microsystems.

Sample entropy based ayurvedic pulse diagnosis for diabetics

S. Jayalalitha, N. Arunkumar, S. Dinesh, 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

A moving window approximate entropy in wavelet framework for automatic detection of the onset of epileptic seizures

N. Arunkumar, V. Venkataraman, N. Arunkumar, 2018 .

Approximate Entropy based ayurvedic pulse diagnosis for diabetics - a case study

N. Arunkumar, K. M. Mohamed Sirajudeen, 2011, 3rd International Conference on Trendz in Information Sciences & Computing (TISC2011).