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2020 – today
- 2023
[c7]Fatema Tabassum Liza, Madhab Chandra Das
, Partha Pratim Pandit, Afia Farjana, ASM Mohaimenul Islam, Fariha Tabassum:
Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction. AIIoT 2023: 7-12- [c6]Afia Farjana, Fatema Tabassum Liza, Partha Pratim Pandit, Madhab Chandra Das, Mahadi Hasan, Fariha Tabassum, Md. Helal Hossen:
Predicting Chronic Kidney Disease Using Machine Learning Algorithms. CCWC 2023: 1267-1271 - [c5]Mahadi Hasan, Mst. Sazia Tahosin, Afia Farjana, Md. Alif Sheakh, Md Maruf Hasan:
A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches. ISDFS 2023: 1-6 - [c4]Afia Farjana, Fatema Tabassum Liza, Miraz Al Mamun, Madhab Chandra Das, Md Maruf Hasan:
SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) architecture. SmartNets 2023: 1-6 - 2022
- [c3]Muntasir Mamun, Afia Farjana, Miraz Al Mamun, Md Salim Ahammed:
Lung cancer prediction model using ensemble learning techniques and a systematic review analysis. AIIoT 2022: 187-193 - [c2]Muntasir Mamun, Afia Farjana, Miraz Al Mamun, Md Salim Ahammed, Md Minhazur Rahman:
Heart failure survival prediction using machine learning algorithm: am I safe from heart failure? AIIoT 2022: 194-200 - [c1]Afia Farjana, Aaisha Makkar:
Federated Learning for Lung Sound Analysis. RTIP2R 2022: 120-134
Coauthor Index
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