Now showing items 872-891 of 1487

    • 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 ...
    • Internship on software development and network system 

      Snikdha, Shornali Islam (Brac University, 2024-06)
      In the following Internship Report, I describe detail of my intended study and actual experience at Square Informatix Ltd. which is a start up technology company. Hence, by highlighting the key areas I have interned with ...
    • 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 a cost-effective cancer registry system for Bangladesh 

      Hassan, Md. Tareq; Sujan, Rahmat Ullah; Sarkar, Tushar Imran; Mostafiz, Gazi Sharin; Talukder, Mohammad Jonayed (Brac University, 2022-09)
      Cancer is an internecine disease caused by uncontrollable cell growth. There are many types of cancer, some severe and untreatable. In Bangladesh, there are 13 to 15 lac cancer patients and 2 lac new cases each year. A ...
    • 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 the use of deep learning for textual entailment in BRACU-NLI dataset 

      Haque, Farah Binta; Yasin, MD; Saha, Shishir; Hossain, MD Mazed (Brac University, 2024-01)
      This work aims to analyze the potential of deep neural models for text-based entailment in Bangla Language. Entailment is the method of determining whether one text infers or goes against another text. The study concentrates ...
    • Investigation assistant with suspect anticipating intelligence 

      Abdullah, Saqueeb; Nibir, Farah Idid; Salam, Suraiya; Dey, Akash (Brac University, 2019-08)
      Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer ...
    • Investigation cloud data storage 

      Sumaiya Binte Mostafa; Tabassum, Firoza (BRAC University, 12/12/2012)
      A cloud database is a database that typically runs on a cloud computing platform. Of the databases available on the cloud, traditional data model is SQL-based. The recent trend is to move on to NOSQL data model. Now, the ...
    • Investigation of Pov-Ray data structures and algorithms 

      Sultana, Fariha (BRAC University, 2009-04)
      Ray tracing is the most powerful technique for producing photo-realistic images. POV-Ray is a popular freeware and open source ray tracing software capable of producing stunningly realistic images. While the user documentation ...