Browsing Department of Computer Science and Engineering (CSE) by Author "Parvez, Mohammad Zavid"
Now showing items 41-47 of 47
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Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms
Saquib, Nazmus; Mithun, Kaniz Fatema; Tasnim, Jarin; Sen, Pushpol (Brac University, 2021-06)In the highly advanced and competitive business world, today’s marketing strategy has become very difficult. To satisfy the needs and necessities of consumers, advanced marketing research methods are required to recognize ... -
Privacy focused classification of prostate cancer using federated learning
Salma, Syeda Umme; Sakib, MD. Sadman; Alvee, Mohammed Moinul Morshed; Yasaar, Nahiyan (Brac University, 2022-01)The prostate gland is a small gland located in the lower abdomen of a man. Prostate cancer occurs when a tumor, or abnormal, malignant growth of cells, forms in the prostate. Prostate cancer is a slow-growing cancer that ... -
A secured federated learning system leveraging confidence score to identify retinal disease
Eshan, M Sakib Osman; Nafi, Md. Naimul Huda; Sakib, Nazmus; Maruf, Md. Ahnaf Morshed; Emon, Mehedi Hasan (Brac University, 2023-05)Federated learning is a distributed machine learning paradigm that enables multiple clients to collaboratively train a global model without sharing their local data. How- ever, federated learning is vulnerable to adversarial ... -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
Farzana, Maisha; Any, Md. Jahid Hossain (Brac University, 2020-03)Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ... -
Smartchain: a blockchain-based user authentication system for smart homes
Islam, Mushaidul; Hossain, Mohammed Sayeem Sadat; Das, Shijon (Brac University, 2022-01)Smart houses are more about being environmentally conscious and offering security. Smart home technologies can make homes more energy-efficient and allow users to save money. This concept of making the life of the common ... -
Sound classification using deep learning for hard of hearing and deaf people
Habib, Md.Adnan; Arefeen, Zarif Raiyan; Hussain, Arafat; Shahriyer, S.M.Rownak; Islam, Tanzid (Brac University, 2022-01)Our paper mainly focuses on developing an audio classification for people, who cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). One of the many prevalent complaints from ... -
Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain
Sultana, Samia (Brac University, 2022-06)Stress refers to body's physical, emotional and psychological reaction to any environmental change needing adjustment with major impact on human psychology. Stress is specially di cult to manage for visually impaired ...