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ORCIDMd. Ashikur Rahman
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2020 – today
- 2023
[j2]Md. Ashikur Rahman
, Lway Faisal Abdulrazak, Md Mamun Ali, Imran Mahmud, Kawsar Ahmed, Francis M. Bui:
Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. Algorithms 16(11): 503 (2023)- [i2]Anik Mallik, Sanjoy Kundu, Md. Ashikur Rahman:
An FPGA-Based Semi-Automated Traffic Control System Using Verilog HDL. CoRR abs/2303.04716 (2023) - 2022
- [j1]Tariqul Islam, Md. Hafizul Imran, Md. Ramim Hossain, Md. Tamjeed Monshi, Himanish Debnath Himu, Md. Ashikur Rahman, Gourob Saha Surjo:
Deep Learning Approaches to Predict Future Frames in Videos. Int. J. Recent Contributions Eng. Sci. IT 10(3): 63-79 (2022) - [c6]Md. Ashikur Rahman, Fahim Hasan, Irin Akter, Ummay Afrina Jahan Sutapa, Md Rifat Shahriar, K. M. Sazzad Ibne Sayed:
Smart Trash Distribution, and Recycling Processes Using IoT Sensing & Mobile Application. ICCA 2022: 227-232 - [c5]Md. Ashikur Rahman, Samir Asif, Md. Shahtab Hossain, Tawfiqul Alam, Ahmed Wasif Reza, Mohammad Shamsul Arefin:
A Sustainable Approach to Reduce Power Consumption and Harmful Effects of Cellular Base Stations. ICO 2022: 695-707 - [c4]Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Aka Das, Md. Ashikur Rahman, Masud Rabbani:
Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach. MIET (1) 2022: 3-14 - [c3]Md. Rajib Mia, Md. Ashikur Rahman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud:
PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. MIET (1) 2022: 109-121 - 2020
- [c2]Md. Shahanur Alam, Md. Abdullah-Al-Jubair, Md. Ashikur Rahman, Tourjana Islam Supti, Rahanuma Tabassum, Taznine Ara, Giap Weng Ng:
Electronic Opinion Analysis System for Library (E-OASL). ICCA 2020: 40:1-40:6 - [i1]Molla Rashied Hussein, Md. Ashikur Rahman, Md. Jahidul Hassan Mojumder, Shakib Ahmed, Samia Naz Isha, Shaila Akter, Abdullah Bin Shams, Ehsanul Hoque Apu:
Trust Concerns in Health Apps collecting Personally Identifiable Information during COVID-19-like Zoonosis. CoRR abs/2009.07403 (2020)
2010 – 2019
- 2019
- [c1]Md. Nahid Haque Shazon, Hasin Mussayab Ahmed, Zarin Tasnim, Md. Ashikur Rahman, Nahid-Al-Masood:
Frequency Response and Its Improvement Using BESS in a Low Inertia Power System. TENCON 2019: 1031-1036
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