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Dr. Engr. Alok Sarkar
Dr. Engr. Alok Sarkar
Chief Instructor and Head of the Department, Electronics Technology, Khulna Polytechnic Institute,
Verified email at ku.ac.bd
Title
Cited by
Cited by
Year
Identification and classification of brain tumor from MRI with feature extraction by support vector machine
A Sarkar, M Maniruzzaman, MS Ahsan, M Ahmad, MI Kadir, SMT Islam
2020 international conference for emerging technology (INCET), 1-4, 2020
282020
An effective and novel approach for brain tumor classification using AlexNet CNN feature extractor and multiple eminent machine learning classifiers in MRIs
A Sarkar, M Maniruzzaman, MA Alahe, M Ahmad
Journal of Sensors 2023, 2023
182023
Utilization of lime fines as an effective binder as well as fluxing agent for making fluxed iron ore pellets
AK Mandal, A Sarkar, OP Sinha
Journal of The Institution of Engineers (India): Series D 97, 69-75, 2016
162016
Pelletisation behavior of fluxed iron ore pellets of varying basicities made with waste fines
A Sarkar, AK Mandal, OP Sinha
International Journal of Science and Engineering 5 (2), 9-14, 2013
132013
Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm
RN Bairagi, M Maniruzzaman, S Pervin, A Sarker
Soft Computing Letters 3, 100026, 2021
102021
Conversion of solid waste fines of comminution process into feeding material of Blast Furnace grade iron ore pellets
AK Mandal, A Sarkar, OP Sinha
SGAT Bulletin 139 (2), 95-113, 2012
82012
Filtering magnetic resonance images to detect brain tumor
A Sarkar, M Maniruzzaman, MS Ahsan, M Ahmad, MI Kadir, SMT Islam
2020 International Conference for Emerging Technology (INCET), 1-4, 2020
22020
Investigation of eeg signals for brain computer interface
E Podder, M Maniruzzaman, A Sarkar
2019 1st International Conference on Advances in Science, Engineering and …, 2019
22019
Isothermal Pre-Reduction Behavior of Nchwaning Manganese Ore in H2 Atmosphere
A Sarkar, TL Schanche, J Safarian
Materials Proceedings 15 (1), 58, 2023
12023
Research Article An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
A Sarkar, M Maniruzzaman, MA Alahe, M Ahmad
2023
Computational reacting flow models for the pre-reduction of lumpy Nchwaning manganese ore with hydrogen
M Khama, QG Reynolds, BX Xakalashe, A Sarkar, J Safarian
Estimation of Crosstalk Noise for 2π RC and RLC Interconnects in Deep Submicron VLSI Circuits
M Maniruzzaman, A Sarkar, RN Toma, MT Hasan
Noise Removal from MRI Brain ImagesUsing Median-Filtering Techniques
MGM Mukti, M Maniruzzaman, MA Alahe, A Sarkar
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Articles 1–13