Author

MD Enamul Haque

Stanford University - Cited by 254 - Statistical Learning - Bioinformatics - Graph Machine Learning

Biography

Dr M. E. Haque received his Ph.D degree from the University of New South Wales, Sydney, Australia.  After completing Ph.D in Electrical Engg, Dr Haque worked as an academic for the  University of New South Wales (UNSW), Sydney, Australia, King Saud University, Saudi Arabia (Assistant Professor), United Arab Emirates University, UAE (Assistant Professor) and University of Tasmania (UTAS), Hobart,  Australia  (Research fellow, Lecturer, Senior Lecturer) . He has also worked for power industries in Bangladesh and Malaysia. 
Title
Cited by
Year
Adaptive hybrid model for network intrusion detection and comparison among machine learning algorithms
ME Haque, TM AlkharobiInternational Journal of Machine Learning and Computing 5 (1), 17, 2015201
29
2015
Helpfulness prediction of online product reviews
ME Haque, ME Tozal, A IslamProceedings of the ACM Symposium on Document Engineering 2018, 1-4, 2018201
24
2018
Performance analysis of cryptographic algorithms for selecting better utilization on resource constraint devices
ME Haque, SM Zobaed, MU Islam, FM Areef2018 21st International Conference of Computer and Information Technology …, 2018201
24
2018
Dynamic energy efficient routing protocol in wireless sensor networks
ME Haque, U BaroudiWireless Networks 26, 3715-3733, 2020202
22
2020
GPU accelerated fractal image compression for medical imaging in parallel computing platform
ME Haque, AA Kaisan, MR Saniat, A RahmanarXiv preprint arXiv:1404.0774, 141
20
2014
Rule-based land cover classification from very high-resolution satellite image with multiresolution segmentation
ME Haque, B Al-Ramadan, BA JohnsonJournal of Applied Remote Sensing 10 (3), 036004-036004, 2016201
14
2016
11
2021
Identifying Health Insurance Claim Frauds Using Mixture of Clinical Concepts
ME Haque, ME TozalIEEE Transactions on Services Computing, 2021202
10
2021
Centroidal voronoi tessellation based energy efficient clustering protocol for heterogeneous wireless sensor and robot networks
ME Haque, MM Rahman, A Rahman, KM Imtiaz-Ud-Dinz2014 17th International Conference on Computer and Information Technology …, 2014201
10
2014
Intrusion detection using payload embeddings
M Hassan, ME Haque, ME Tozal, V Raghavan, R AgrawalIEEE Access 10, 4015-4030, 2021202
9
2021
SCAN: a sensor deployment algorithm in hazardous regions via mobile actuators
ME Haque, U Baroudi, M AzharuddinIEEE Sensors Journal 16 (9), 3293-3307, 2015201
8
2015
Method of routing for wireless ad hoc and sensor networks
U Baroudi, ME HaqueUS Patent 9,3,943, 2017201
8
2017
Senspick: sense picking for word sense disambiguation
S Zobaed, ME Haque, MF Rabby, MA Salehi2021 IEEE 15th International Conference on Semantic Computing (ICSC), 31-324, 2021202
8
2021
Deep learning in iot-based healthcare applications
SM Zobaed, M Hassan, MU Islam, ME HaqueDeep Learning for Internet of Things Infrastructure, 183-200, 2021202
6
2021
Byte embeddings for file fragment classification
ME Haque, ME TozalFuture Generation Computer Systems 127, 448-461, 2022202
5
2022
4
2019
Geographic location aware routing for wireless sensor networks
U Baroudi, ME HaqueUS Patent 10,26,511, 2019201
4
2019
Connected component based ROI selection to improve identification of microcalcification from mammogram images
ME Haque, KM Imtiaz-Ud-Din, MM Rahman, A Rahman8th International Conference on Electrical and Computer Engineering, 20120
4
2014
Nocs2: Topic-based clustering of big data text corpus in the cloud
SM Zobaed, E Haque, S Kaiser, RF Hussain2018 21st International Conference of Computer and Information Technology …, 2018201
4
2018