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Dr. Md. Al Mehedi Hasan
Dr. Md. Al Mehedi Hasan
Professor, Dept. of Computer Science and Engineering, RUET
Verificeret mail på cse.ruet.ac.bd
Titel
Citeret af
Citeret af
År
Feature Selection for Intrusion Detection Using Random Forest
MAM Hasan, M Nasser, S Ahmad, KI Molla
Journal of Information Security 7 (03), 129, 2016
2662016
Support Vector Machine and Random Forest Modeling for Intrusion Detection System (IDS).
M Al Mehedi Hasan, M Nasser, B Pal, S Ahmad
Journal of Intelligent Learning Systems & Applications 6 (1), 2014
2292014
Face recognition using PCA and SVM
MO Faruqe, MAM Hasan
2009 3rd International Conference on Anti-counterfeiting, Security, and …, 2009
1612009
American sign language alphabet recognition by extracting feature from hand pose estimation
J Shin, A Matsuoka, MAM Hasan, AY Srizon
Sensors 21 (17), 5856, 2021
1032021
Dynamic Hand Gesture Recognition using Multi-Branch Attention Based Graph and General Deep Learning Model
ASM Miah, MAM Hasan, J Shin
IEEE Access, 2023
912023
BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
ASM Miah, J Shin, MAM Hasan, MA Rahim
Applied Sciences 12 (8), 3933, 2022
752022
Korean Sign Language Recognition Using Transformer-Based Deep Neural Network
J Shin, AS Musa Miah, MAM Hasan, K Hirooka, K Suzuki, HS Lee, ...
Applied Sciences 13 (5), 3029, 2023
662023
Protein subcellular localization prediction using multiple kernel learning based support vector machine
MAM Hasan, S Ahmad, MKI Molla
Molecular BioSystems 13 (4), 785-795, 2017
492017
Multistage Spatial Attention-Based Neural Network for Hand Gesture Recognition
ASM Miah, MAM Hasan, J Shin, Y Okuyama, Y Tomioka
Computers 12 (1), 13, 2023
482023
Rotation, Translation And Scale Invariant Sign Word Recognition Using Deep Learning
ASMMJ Shin, MAM Hasan, MA Rahim, Y Okuyama
45*
On the KDD’99 dataset: support vector machine based intrusion detection system (ids) with different kernels
M Al Mehedi Hasan, M Nasser, B Pal
Int. J. Electron. Commun. Comput. Eng 4 (4), 1164-1170, 2013
422013
Optimal Channels and Features Selection Based ADHD Detection From EEG Signal Using Statistical and Machine Learning Techniques
M Maniruzzaman, MAM Hasan, N Asai, J Shin
IEEE Access 11, 33570-33583, 2023
382023
Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
M Maniruzzaman, J Shin, MAM Hasan
Applied Sciences 12 (5), 2737, 2022
362022
A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification
F Parvin, MAM Hasan
2020 IEEE Region 10 Symposium (TENSYMP), 945-948, 2020
352020
A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue
MA Moni, HK Rana, MB Islam, MB Ahmed, H Xu, MAM Hasan, Y Lei, ...
Computers in biology and medicine 113, 103385, 2019
332019
predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue
MAM Hasan, J Li, S Ahmad, MKI Molla
Analytical biochemistry 525, 107-113, 2017
332017
Comparative analysis the performance of AODV, DSDV and DSR routing protocols in wireless sensor network
J Rahman, MAM Hasan, MKB Islam
Electrical & Computer Engineering (ICECE), 2012 7th International Conference …, 2012
332012
Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
M Maniruzzaman, J Shin, MAM Hasan, A Yasumura
32
BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition
A Sayeed, J Shin, M Hasan, A Mehedi, AY Srizon
Applied Sciences 11 (15), 6845, 2021
282021
Sign language recognition using graph and general deep neural network based on large scale dataset
ASM Miah, MAM Hasan, S Nishimura, J Shin
IEEE Access, 2024
272024
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