Browsing Department of Computer Science and Engineering (CSE) by Title

Internship at Professional Associates Ltd.

Zia, Towsif Tazwar (Brac University, 2022-05-29)

Included in this paper are accounts of my internship undertaken in the fulfillment of my Bachelor of Science in Computer Science and Engineering from Brac University; with Professional Associates Ltd. As part of my internship ...

Internship at Star IT ltd: A real experience to gain knowledge as a web developer

Shila, Saima Sanjida (Brac University, 2022-09)

Web developing has become now a growing sector of IT sectors all over the world. Web developing and maintaining that websites is both inevitable. Now-a-days, all growing companies needs their own websites and they rely ...

Internship in IT audit

Lateef, Rushnan Faraz (Brac University, 2022-12-04)

Human capacity in the auditing field is immense. The task not only ensures company security but also the safety of its employees and clients making it one of the most crucial sectors. To identify the lack of security and ...

Interpretable Bangla fake news classification using BERT and traditional machine learning approaches

Anan, Ramisa; Modhu, Elizabeth Antora; Suter, Arjun; Sneha, Ifrit Jamal (Brac University, 2022-09-29)

Fake news is a type of content that is inaccurate or misleading and it is usually published with the intention of damaging a person or organization’s reputation. It has recently grown significantly in the online forum ...

Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI

Dipto, Shakib Mahmud; Afifa, Irfana; Kabir, Sumya (Brac University, 2021-06)

COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ...

Interpretable credit card fraud detection using deep learning leveraging XAI

Biswas, Joy; Tabfimuzzaman, Md.; Mridha, Abir Ahmed; Afroz, Tamanna; Samin, Ahnaf Tahmid (Brac University, 2022-09)

Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ...

An interpretable deep learning approach to detect Alzheimer using MRI images

Oni, Farhan Anzum; Hossain Sayem, Kazi Sazzad; Rahman, Mushfiqur; Kabir, Sanjida; Bhuiyan, Fardeen Yousuf (Brac University, 2023-01)

Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...

An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM

Bhuiyan, Mahdi Hasan; Haldar, Sumit; Chowdhury, Maisha Shabnam; Bushra, Nazifa; Jilan, Tahsin Zaman (Brac University, 2024-01)

Early detection of retinal diseases can help people avoid going completely or partially blind. In this research, we will be implementing an interpretable diagnosis of retinal diseases using a hybrid model containing ...

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI

Khan, Labib Hasan; Haque, Mohammed Ashfaqul; Ibrahim, Esaba Ahnaf (Brac University, 2023-01)

Massive open online course (MOOC) has been around for a while, but started to gain traction since 2012 when Coursera was established. MOOCs use pre-recorded lectures and scheduled weekly tests to provide content and ...

An interpretable transformer based approach to classify Malaria from blood cell images

Islam, Mehafuza; Al Mamun, S.M. Abdulla (Brac University, 2023-01)

Malaria is a disease that can be fatal, and it is spread through the bite of the female Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ...

Intracranial hemorrhage detection using CNN-LSTM fusion model

Ahmed, Kazi sabab; Shariar, Khandaker Sadab; Naim, Naimul Hasan; Hazari, MD. Nayimur Rahman (Brac University, 2022-05)

Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue and the skull or within the brain tissue itself. It is life-threatening and needs immediate medical attention. As the first response, ...

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck

Sanjana, Jasia; Al Muhit, Abdullah; Zia, Asma (Brac University, 2023-08)

In order to reduce manpower and bottleneck in the inspection system of industrial garments, we explored the application of the YOLOv5 model using our very own dataset of defective clothing pieces. The economy of Bangladesh ...

Intrusion detection system for various IoT attacks on MQTT protocol

Farhan; Mueth Ul Ehsan Ananno; Tanzil Talat Anonto; Sazzad Alam Tomal (Brac University, 2022-01)

In recent times the number of IoT devices have increased massively but the security of these devices has not been upgraded. Due to this huge number, achieving high security is a big challenge. The use of a classic ...

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace

Al Amin, Istiak; Lamiya, Salsabil; Sheikh, Noshin Anjum; Haque, S. M. Tanjimul (Brac University, 2022-01)

Nowadays, the number of interconnected devices (IoT) is increasing dramatically. This expansion poses new security problems for network operators, IoT service providers, and users. Security measures implemented on IoT ...

Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals

Hossain, Md. Sakib Abrar (Brac University, 2021-08)

The major challenge in any electroencephalogram (EEG) classi cation task lies with in the dilemma of feature extraction, as raw time series signal provide little correlated information, yet it holds colossal varieties ...