Now showing items 1011-1030 of 1541

    • Movie recommendation using link prediction 

      Dhrubo, Md Alif-uz-zaman; Supty, Tasfia Chowdhury; Hossin, Md Rakib; Rahman, SM Ashfaqur; Das, Ananya (Brac University, 2021-09)
      Link prediction is an important task for analyzing movie recommendation which also has applications in other domain like, information retrieval and bioinformatics. Proximity measure quantify the closeness or similarity ...
    • Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning 

      Kabir, Azmain; Kabir, Farishta; Mahmud, Md. Abu Hasib; Sinthia, Sanzida Alam; Azam, S. M. Rakibul (Brac University, 2021-10)
      The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ...
    • Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI 

      Athina, Fahima Hasan; Sara, Sadaf Ahmed; Tabassum, Nishat; Sarwar, Quazi Sabrina; Jannat Era, Mun Tarin (Brac University, 2022-05)
      This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
    • Multi-layer security analysis and implementation of smartphone based ATM 

      Farid, Imran; Zaman, Rabby; Emmy, Iffat Jahan (BRAC University, 12/14/2016)
      Smartphone penetration was 10% in 2015 and is expected to grow in coming years. Card based ATMs (automated teller machine) are being updated or replaced by modern card-less ATMs in developed countries. The purpose is to ...
    • A multi-layer security system for data access control, authentication, and authorization 

      Kaiser, Tamanna; Siddiqua, Rafa; Hasan, Md. Main Uddin (Brac University, 2022-05)
      Multi-Factor-Authentication is one of the most used services nowadays by all kinds of people, especially by many organizations. People use this service to authorize their stored data and to access it without any security ...
    • A multi-level random key cryptosystem based on DNA encoding and state-changing mealy machine 

      Taj, Towshik Anam (Brac University, 2023-02)
      Cryptography allows our data to be transmitted without giving sensitive information away. This is the art of hiding the information from the malicious third party and make the data accessible to only the sender and the ...
    • Multi-modal emotion recognition for determining employee satisfaction 

      Hussain, Saadat; Zaman, Farhan Uz; Zaman, Maisha Tasnia; Kabir, Nahian (Brac University, 2020-04)
      Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ...
    • Multi-modal hate speech detection using machine learning 

      Shill, Ponkoj Chandra; Boishakhi, Fariha Tahosin (Brac University, 2021-01)
      Hate speech is a common problem that people face in any content based applications. With continuous growth of internet users and media contents, it is very hard to track down hateful speech in audio and video. Converting ...
    • Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach 

      Esha, Ishraq Ahmed; Rahman, Shahrin; Chowdhury, Sayem Kader; Mim, Jannatul Ferdous (Brac University, 2023-05)
      In recent times, AI based emotion recognition also known as affective-computing which is a burgeoning branch of artificial intelligence to some extent also helping the computers to become more intelligent by scrutinizing ...
    • Multimedia issues over bluetooth (video streaming) 

      Haque, Md. Nazmul; Hasan, Md. Mehedi (BRAC University, 2014-09)
      In this new era wireless ad hoc networks have become a growing area of research. The arrival of Bluetooth wireless technology makes it possible to transmit real-time video/audio in mobile and permeate environments. Multimedia ...
    • A multimodal approach of sentiment analysis to predict customer emotions towards a product 

      Islam, Shadman; Rahman, Moshiur; Ali, Samina Tuz Zohura; Shahrior, Tawhid (Brac University, 2019-12)
      Begun roughly a decade ago, Sentiment analysis, the science of understanding human emotions, can trace its roots back to the middle of the 19th century. The motive of sentiment analysis is to extract and predict human ...
    • Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras 

      Rukaiya, Maymuna; Khan Soumik, Md. Muhtadee Faiaz; Sakib, Sazzad Hossan; Islam, Md. Ashikul; Ishrak, Mohammad Farhan (Brac University, 2023-01)
      Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high levels of noise and clutter. These conditions can ...
    • Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques 

      Rafidul Islam, Sheikh Md; Gomes, Maria; Hossain, Mehran; Raihana, Ramisha (Brac University, 2022-05)
      Emotion recognition and sentiment analysis serves many purposes from analyzing human behavior under specific conditions to enhancement of customer experience for various services. In this paper, a multimodal approach is ...
    • Multimodal fake news detection using text and image 

      Biswas, Trisha; Lamia, Tasmim Afroj; Shykat, Tarikul Islam; Rafi, Md. Arifin Ahmed (Brac University, 2023-05)
      Development in information and technology has made the communication easier in the recent decades. Easy access of social media is creating restraints amid of differentiating fake and real news. In the recent period the ...
    • Multimodal human detection in disaster situations using deep learning & artificial intelligence 

      Rafat, Md. Tasbi; Hridy, Fahmida Ahmed; Zaman, Rafid Ibna; Santo, Hasibul Hassan; Siddique, Ibrahim (Brac University, 2022-09)
      Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences ...
    • Multiplayer online war simulator based on unity3D and openGL 

      Azmi, Shameer; Bakhtiar, Fahim; Hossain, Afsana (BRAC University, 2016-04)
      The advent of technology has brought up the need of simulators in various fields especially in combat training programs. Our project will enable to create an environment to interact in such programs. We aim to develop a ...
    • Music genre classification with convolutional neural network 

      Chowdhury, Masud; Tilok, Ibnul Islam; Das, Prodipta; Chowdhury, Avoy; Anas, MD. Abdullah Al Masum (Brac University, 2022-01)
      Today, Music is one of the effective forms of entertainment. Everyday new Music is being composed, and the quantity of Music is increasing day by day. So, it is essential to classify or categorize Music into different ...
    • My doctor: dynamic scheduling and communication 

      Sirajee, Ashraf Hasan; Utsash, Masrur Masqub; Debi, Satabdi Rani (BRAC University, 2016)
      Our proposition is to make an online system which will appoint a doctor to a patient dynamically and patients can speak with specialists over on the web. In today’s world on the off chance that somebody needs to take an ...
    • My doctor: security, payment reporting and online pharmacy 

      Hasan, Sayeed; Biswas, Shuvodeep; Siddiq, Md. Abu Bakkar (BRAC University, 12/14/2016)
      Our thesis is to create a system which is an online based medical system with extra facilities like report uploading, follow up at the same doctor, online pharmacy. In today’s world if someone wants to take an appointment ...
    • Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet 

      Promita, Samanta Tabassum; Biswas, Simon Abhijet; Mozumder, Nisat Islam; Taharat, Mamur (Brac University, 2022-01)
      Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ...