Ngee Ann Polytechnic

Singapore City, Singapore

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Institution’s Latest Publications

research-article
Early detection of infestation by mustard aphid, vegetable thrips and two-spotted spider mite in bok choy with deep neural network (DNN) classification model using hyperspectral imaging data
- Derrick Nguyen
  Plant Science and Health Branch, Horticulture and Community Division, National Parks Board, Singapore
  ,
- Arinah Tan
  Plant Science and Health Branch, Horticulture and Community Division, National Parks Board, Singapore
  ,
- Ronjin Lee
  Plant Science and Health Branch, Horticulture and Community Division, National Parks Board, Singapore
  ,
- Wei Feng Lim
  Plant Science and Health Branch, Horticulture and Community Division, National Parks Board, Singapore
  ,
- Tin Fat Hui
  Electronic & Computer Engineering Division, School of Engineering, Ngee Ann Polytechnic, Singapore
  ,
- Fadhlina Suhaimi
  Urban Food Solutions Division, Singapore Food Agency, Singapore
May 2024Computers and Electronics in Agriculture, Volume 220, Issue Chttps://doi.org/10.1016/j.compag.2024.108892
retraction
Retraction Note: Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images
- U. Rajendra Acharya
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  https://ror.org/01s57k749Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore
  https://ror.org/0498pcx51School of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, Subang Jaya, Malaysia
  ,
- Kristen M. Meiburger
  https://ror.org/00bgk9508Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
  ,
- Joel En Wei Koh
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Yuki Hagiwara
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Shu Lih Oh
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Sook Sam Leong
  https://ror.org/00rzspn62Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
  https://ror.org/00vkrxq08Department of Biomedical Imaging, University of Malaya Medical Centre, Kuala Lumpur, Malaysia
  ,
- Edward J. Ciaccio
  https://ror.org/00hj8s172Department of Medicine, Columbia University, New York, USA
  ,
- Jeannie Hsiu Ding Wong
  https://ror.org/00rzspn62Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
  https://ror.org/00rzspn62University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia
  ,
- Mohammad Nazri Md Shah
  https://ror.org/00rzspn62Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
  https://ror.org/00rzspn62University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia
  ,
- Filippo Molinari
  https://ror.org/00bgk9508Department of Electronics and Telecommunications, Politecnico Di Torino, Turin, Italy
  ,
- Kwan Hoong Ng
  https://ror.org/00rzspn62Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia
  https://ror.org/00rzspn62University of Malaya Research Imaging Centre, University of Malaya, Kuala Lumpur, Malaysia
August 2024Neural Computing and Applications, Volume 36, Issue 24https://doi.org/10.1007/s00521-024-10094-5
retraction
Retraction Note: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
- Paweł Pławiak
  https://ror.org/00pdej676Faculty of Physics, Mathematics and Computer Science, Institute of Telecomputing, Cracow University of Technology, Warszawska 24 st., F-5, 31-155, Kraków, Poland
  ,
- U. Rajendra Acharya
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Clementi, Singapore
  Department of Biomedical Engineering, School of Science and Technology, SUSS University, 599491, Clementi, Singapore
  https://ror.org/0498pcx51School of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, 47500, Subang Jaya, Malaysia
August 2024Neural Computing and Applications, Volume 36, Issue 23https://doi.org/10.1007/s00521-024-10083-8
research-article
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
- Mohammad Ehsan Basiri
  Department of Computer Engineering, Shahrekord University, Iran
  ,
- Shahla Nemati
  Department of Computer Engineering, Shahrekord University, Iran
  ,
- Moloud Abdar
  Institute for Intelligent Systems Research and Innovation, Deakin University, Australia
  ,
- Erik Cambria
  School of Computer Science and Engineering, Nanyang Technological University, Singapore
  ,
- U. Rajendra Acharya
  Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore
February 2021Future Generation Computer Systems, Volume 115, Issue Chttps://doi.org/10.1016/j.future.2020.08.005
retraction
Retraction Note: A novel approach for automated detection of focal EEG signals using empirical wavelet transform
- Abhijit Bhattacharyya
  https://ror.org/01hhf7w52Discipline of Electrical Engineering, Indian Institute of Technology Indore, 453552, Indore, India
  ,
- Manish Sharma
  https://ror.org/01hhf7w52Discipline of Electrical Engineering, Indian Institute of Technology Indore, 453552, Indore, India
  ,
- Ram Bilas Pachori
  https://ror.org/01hhf7w52Discipline of Electrical Engineering, Indian Institute of Technology Indore, 453552, Indore, India
  ,
- Pradip Sircar
  https://ror.org/05pjsgx75Department of Electrical Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India
  ,
- U. Rajendra Acharya
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  https://ror.org/01s57k749Department of Biomedical Engineering, School of Science and Technology, SIM University, 599491, Singapore, Singapore
  https://ror.org/00rzspn62Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
July 2024Neural Computing and Applications, Volume 36, Issue 19https://doi.org/10.1007/s00521-024-10034-3
retraction
Retraction Note: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals
- U. Rajendra Acharya
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  https://ror.org/01s57k749Department of Biomedical Engineering, School of Science and Technology, SIM University, Singapore, Singapore
  https://ror.org/00rzspn62Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
  ,
- Hamido Fujita
  https://ror.org/054dx8336Faculty of Software and Information Science, Iwate Prefectural University (IPU), Iwate, Japan
  ,
- Vidya K. Sudarshan
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Shu Lih Oh
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Adam Muhammad
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Joel E. W. Koh
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Jen Hong Tan
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Chua K. Chua
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Kok Poo Chua
  https://ror.org/01w953x65Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore, Singapore
  ,
- Ru San Tan
  Department of Cardiology, National Heart Centre, Singapore, Singapore
July 2024Neural Computing and Applications, Volume 36, Issue 19https://doi.org/10.1007/s00521-024-10024-5

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Institution’s Latest Publications

Early detection of infestation by mustard aphid, vegetable thrips and two-spotted spider mite in bok choy with deep neural network (DNN) classification model using hyperspectral imaging data

Retraction Note: Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images

Retraction Note: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Retraction Note: A novel approach for automated detection of focal EEG signals using empirical wavelet transform

Retraction Note: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

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