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Saadia Binte Alam
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2020 – today
- 2025
- [j2]Faizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam, Sakib Mahmud, Md. Mamun Sheikh, Abdulrahman Alqahtani, Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury:
A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals. Biomed. Signal Process. Control. 101: 107233 (2025) - 2024
- [c9]Toushif Hossain, Riyad Hossain, Rubaiyat Islam, Saadia Binte Alam:
Optimizing Warehouse Operations in Bangladesh: Leveraging IoT and Cloud Migration for Enhanced Security and Efficiency. FiCloud 2024: 354-361 - [i1]Achhiya Sultana, Dipto Das, Saadia Binte Alam, Mohammad Shidujaman, Syed Ishtiaque Ahmed:
A Civics-oriented Approach to Understanding Intersectionally Marginalized Users' Experience with Hate Speech Online. CoRR abs/2410.14950 (2024) - 2023
- [j1]Md. Hasibur Rahman
, Saadia Binte Alam, Trisha Das Mou
A Dynamic Approach to Low-Cost Design, Development, and Computational Simulation of a 12DoF Quadruped Robot. Robotics 12(1): 28 (2023) - [c8]Md. Anas Ali, Mahmudul Haque, Saadia Binte Alam, Rashedur Rahman
Medical Personal Protective Equipment Detection Using YOLOV7. ICMLC 2023: 242-247 - [c7]Sefatul Wasi
Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning. ISMVL 2023: 54-58 - 2022
- [c6]Tanzila Tahsin Mayabee, Kazi Tahsinul Haque, Saadia Binte Alam, Rashedur Rahman
ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks. TCCE 2022: 243-254
2010 – 2019
- 2019
- [c5]Naziah Tasnim, Fahad Parvez Mahdi
A Quantification Approach of Uterine Peristalsis Propagated From the Cervix and the Fundus. ICMLC 2019: 1-6 - 2018
- [c4]Saadia Binte Alam, Akinobu Shimizu, Kumiko Ando, Reiichi Ishikura, Syoji Kobashi:
Disorder Development Onset Prediction Based on Spatiotemporal Statistical Shape Model. SMC 2018: 385-390 - 2017
- [c3]Saadia Binte Alam, Rashedur Rahman
Muscle thickness measurement from ultrasonic wave using continuous wavelet analysis. ICMLC 2017: 425-429 - 2015
- [c2]Ryosuke Nakano, Syoji Kobashi
Neonatal Brain Age Estimation Using Manifold Learning Regression Analysis. SMC 2015: 2273-2276 - 2014
- [c1]Saadia Binte Alam, Ryosuke Nakano, Naotake Kamiura, Syoji Kobashi
Morphological changes of aging brain structure in MRI analysis. SCIS&ISIS 2014: 683-687
Coauthor Index
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