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Senjuti Rahman
Senjuti Rahman
Graduate Research Assistant, Texas Tech University
在 ttu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of brain stroke using machine learning algorithms and deep neural network techniques
S Rahman, M Hasan, AK Sarkar
European Journal of Electrical Engineering and Computer Science 7 (1), 23-30, 2023
272023
Classification of Parkinson’s disease using speech signal with machine learning and deep learning approaches
S Rahman, M Hasan, AK Sarkar, F Khan
European Journal of Electrical Engineering and Computer Science 7 (2), 20-27, 2023
102023
Machine Learning and Deep Neural Network Techniques for Heart Disease Prediction
S Rahman, MM Hasan, AK Sarkar
2022 25th International Conference on Computer and Information Technology …, 2022
52022
A Novel Artificial Intelligence (AI) Method to Classify and Predict the Progression of Alzheimers Disease
MM Hasan, S Rahman, H Parmar, S Chowdhury
bioRxiv, 2024.06. 03.597177, 2024
2024
Different Methods of EEG Signal Analysis Using Power Spectral Density, ChronoNet and ResNest
MM Hasan, S Rahman, A Sarkar, F Khan, A Seum
European Journal of Electrical Engineering and Computer Science 7 (5), 20-27, 2023
2023
Comparative Analysis of Different Approaches For Detecting Epilepsy
S Rahman, AK Sarkar
2022 International Conference on Recent Progresses in Science, Engineering …, 2022
2022
Methods for Detecting Epilepsy: A Comparative Analysis on Improved Deep Learning Algorithms
S Rahman, MM Hasan, AK Sarkar
2022 12th International Conference on Electrical and Computer Engineering …, 2022
2022
Comparative Analysis of Three Different Microstrip Patch Antennas on the Rat Model
S Rahman, MK Hosain, AK Sarkar, MM Hasan
2017 2nd International Conference on Electrical & Electronic Engineering …, 2017
2017
Biocompatibility analysis of a battery less back-mountable DBS device
S Rahman, F Khushi, K Hosain
2016 2nd International Conference on Electrical, Computer …, 2016
2016
Deep Learning and Multiclass Machine Learning Classifier Approach for Predicting Primary Tumors
MM Hasan, S Rahman, AK Sarkar
IJFMR-International Journal For Multidisciplinary Research 5 (1), 0
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