M. A. Burhanuddin - Concepedia

Author

M. A. Burhanuddin

Technical University of Malaysia Malacca

Also Known As

Burhanuddin M. A., M A Burhanuddin, M. A. Burhanuddin, M.A. BURHANUDDIN, M.A. Burhanuddin, Mohd Aboobaider Burhanuddin, Muhammad Burhanuddin

Publications

1.5K

Citations

H-Index

103

Concepts

All Affiliations

Technical University of Malaysia Malacca University of Anbar SASTRA University Tun Hussein Onn University of Malaysia King Abdulaziz University

About

M. A. Burhanuddin is an author at Technical University of Malaysia Malacca specializing in engineering, image analysis, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	17	1.2K
2	Business	4	4	82
3	Health Sciences	4	4	601
4	Medicine	3	3	92
5	Management	2	2	48

M. A. Burhanuddin

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks P. Mohamed Shakeel, M. A. Burhanuddin, Mohamad Ishak Desa Measurement Image AnalysisMachine LearningMedical ImagingEngineeringMultiple Pulmonary Nodule	2019	291
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier P. Mohamed Shakeel, M. A. Burhanuddin, Mohammad Ishak Desa Neural Computing and Applications Image AnalysisMachine LearningDeep LearningMedical ImagingEngineering	2020	221
A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications S. Baskar, P. Mohamed Shakeel, R. Kumar, Computer Communications Wearable SystemBody Area NetworkEngineeringInteroperable Communication FrameworkWearable Technology	2019	129
RETRACTED ARTICLE: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, N. Arunkumar, Neural Computing and Applications Decision FusionImage AnalysisMachine LearningData ScienceData Mining	2018	99
A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, N. Arunkumar, Future Generation Computer Systems Real Time ComputerImage AnalysisMachine LearningEngineeringPattern Recognition	2018	84
Genetic case-based reasoning for improved mobile phone faults diagnosis Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, N. Arunkumar, Computers & Electrical Engineering Genetic Case-based ReasoningReliability EngineeringEngineeringData MiningCase-based Reasoning	2018	64
RETRACTED ARTICLE: Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, N. Arunkumar, The Journal of Supercomputing Artificial IntelligenceImage AnalysisMachine LearningData ScienceNasopharyngeal Carcinoma Discrimination	2018	58
Trainable model for segmenting and identifying Nasopharyngeal carcinoma Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, N. Arunkumar, Computers & Electrical Engineering Image AnalysisMachine LearningMedical ImagingEngineeringPattern Recognition	2018	55
A telemedicine tool framework for lung sounds classification using ensemble classifier algorithms Mustafa Musa Jaber, Sura Khalil, P. Mohamed Shakeel, Measurement Audio MiningEngineeringMachine LearningData ScienceLung Sounds Classification	2020	34
<scp>Fully‐automatic</scp> identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (<scp>HOG</scp>) Ihsan Jasim Hussein, M. A. Burhanuddin, Mazin Abed Mohammed, Expert Systems EngineeringDigital PathologyDiagnosisGynecologyOriented Gradients	2021	33

Page 1