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Dr. Md. Al Mehedi Hasan
Dr. Md. Al Mehedi Hasan
Professor, Dept. of Computer Science and Engineering, RUET
Dirección de correo verificada de cse.ruet.ac.bd
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Feature Selection for Intrusion Detection Using Random Forest
MAM Hasan, M Nasser, S Ahmad, KI Molla
Journal of Information Security 7 (03), 129, 2016
2752016
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
1642009
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
1062021
Dynamic Hand Gesture Recognition using Multi-Branch Attention Based Graph and General Deep Learning Model
ASM Miah, MAM Hasan, J Shin
IEEE Access, 2023
902023
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
762022
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
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
502023
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
482017
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
412023
Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
M Maniruzzaman, J Shin, MAM Hasan
Applied Sciences 12 (5), 2737, 2022
372022
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
342019
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
342012
Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
M Maniruzzaman, J Shin, MAM Hasan, A Yasumura
34
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
322017
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
302021
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
292024
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Artículos 1–20