Now showing items 121-140 of 1496

    • Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification 

      Labiba, Zaima; Heram, Afrin A; Hossain, Md.Muhtasim; Alam, Sharia; Shakal, Binita Khan (Brac University, 2023-09)
      Mango, often referred to as the “King of fruits”, occupies a superior place in the global agricultural landscape due to its growing demand. Thus accurate identification and classification of mango tree varieties is ...
    • Internship as a Software Quality Assurance Engineer 

      Chowdhury, Shakib Ahmed (BRAC University, 2023-03)
      During this pandemic the world has changed a lot and left us on a thought of im- portance that how much health tech is important for the survival of humanity. So along with other revolution, companies that are working on ...
    • Internship as a young professional in application team of White Services Technology 

      Taj, MD. Syedy Sulvy (BRAC University, 2023-04)
      This paper provides a summary of my internship experience in front-end development, with a concentration on my work with HTML, CSS, JavaScript, ReactJS, and PHP. The apprenticeship was completed at White Services Technology ...
    • Integrity analysis and detection of digital forensic evidences 

      Ahmed, Eshrak (Brac University, 2023)
      Technology has improved people’s day to day activities like how we communicate and access information. These days people are equipped with a digital camera and mobile phone and they tend to record almost everything ...
    • Detection of violent activity in surveillance system using different deep learning techniques 

      Chakravorty, Tirthendu Prosad; Abeer, Mobashra; Baroi, Shaiane Prema; Roy, Sristy (Brac University, 2023-09)
      In the past decade, surveillance cameras have been a necessary integration for security measures in all types of localities. The omnipresence of these devices has substantially aided in tackling violent criminal activities. ...
    • Optimizing abstractive summarization with fine-tuned PEGASUS 

      Rafi, Sadiul Arefin; Rahman, Naimur; Islam, Kazi Nazibul; Ahmad, Ha-mim (Brac University, 2023-09)
      Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a subset of the salient sentences from the source text. The introduction ...
    • A Proposed novel approach to face recognition using CNN 

      Mahmud, Asif (Brac University, 2023-09)
      Facial recognition has emerged as a crucial technology with applications spanning from security and surveillance to user authentication and human-computer interaction. This work is a comprehensive study of facial recognition ...
    • A study of malware classification using deep learning 

      Rahman, Mohammad Muhibur; Ahmed, Anushua; Khan, Mutasim Husain; Jamshed, Abrar; Rahman, Md Hafijur (2023-09)
      Malware represents an intrusive computer program that is engineered by cybercriminals to destroy computer systems or steal and manipulate sensitive data. Malware classification is crucial to malware detection as it helps ...
    • Automatic subtitle generation for Bengali multimedia using deep learning 

      Rhythm, Ehsanur Rahman; Arnob, Shafakat Sowroar; Shuvo, Rajvir Ahmed (Brac University, 2023-09)
      For audio or video material to be more inclusive and accessible, automatic subtitle generation is essential. Nevertheless, implementing this technology into Bengali presents significant challenges due to scarce resources ...
    • Tri-modal ensemble for enhanced Bangla sign language recognition 

      Shams, Khan Abrar; Reaz, Md. Rafid; Islam, Sanjida; Rafi, Mohammad Ryan Ur (Brac University, 2023-09)
      Sign language is the most common method of communication for people with disabling hearing loss. Bangladesh, where BdSL is prominently used among the disabling people, finds communicating with the general mass challenging. ...
    • Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models 

      Fahim, Kaji Mehedi Hasan; Nyla, Nasita; Saha, Priti; Akter, Mst. Shamima; Shourav, Musfiqur Rahman (Brac University, 2023-09)
      As technology becomes more accessible, it is now much easier than ever to abuse someone by misusing it. Usually, people use slang or absurd language with the goal of bullying, harassing, and harming someone by using ...
    • A machine learning based approach for DDos attack detection 

      Tahrim, Tasmiah; Sharan, MD Asif; Monsur, Meshaq; Hasan, MD Abid; Azad, Tanzina Binte (Brac University, 2023-09)
      The modern era saw the rise of technologies in almost every sector. Computers are gradually becoming faster and smaller, also allowing people to utilize them almost everywhere. As computer technology has become an important ...
    • Sign language detection and conversion to readable Bengali words using BdSL 

      Dhrubo, Tahsinul Haque; Mahmood, ASM Tareq; Tabassum, Noshin; Khan, Riead Hasan (Brac University, 2023-09)
      In this era of modernization, technology is used to improve the outcome in every aspect of our lives. At the beginning of development, scientists made tools and pieces of stuff in order to enhance the speed of communication. ...
    • Enhancing eye disease classification through synergistic deep learning approaches 

      Rahaman, Asif; Mahamud, Shifat; Akter, Shanjida; Saha, Dipro; Fahad (Brac University, 2023-09)
      The number of people living with blindness is about 43 million people and 295 million people are living with moderate-to-severe visual impairment. The leading causes of most blindness are macular degeneration, diabetic ...
    • Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters 

      Bhuiyan, Md Raihanul Islam; Efaz, Mahin Shahriar; Reza, Tanjim; Ria, Aditi Saha (Brac University, 2023-09)
      Bangla is one of the most popular languages in the world and more than 210 Million people use it as their first or second language. The literature of Bangla has a rich history and dates back thousands of years. However, ...
    • A deep learning approach for prediction of ADHD using brain structure 

      Siam, Shafin Ahad; Datta, Durjoy; Hossain, S.M.Kawsar; Nobel, MD.Nishat Ahmed; Ahamed, Ashik (Brac University, 2023-09)
      Attention deficit hyperactivity disorder (ADHD) is a complex condition affecting the brain’s neurodevelopmental processes. Prompt treatment and accurate diagnosis can alter neural connections and improve symptoms. This ...
    • 3D Brain image segmentation using 3D tiled convolution neural networks 

      Haque, Md Mahibul; Ria, Jobeda Khanam; Mannan, Fahad Al; Majumder, Sadman; Uddin, Md Reaz (Brac University, 2023-09)
      Gliomas are the primary brain tumors that are most commonly observed in adult patients and exhibit varying degrees of aggressiveness and prognosis. The accurate identification and diagnosis of Gliomas in surgical procedures ...
    • Product recommendation system 

      Sajid, Md.Ashiq Ul Islam; Romeo, Raihan; Farid, Sheikh; Tasin, Mohammed Shahrier (Brac University, 2023-09)
      Recommender systems play a role, in helping consumers by suggesting products. These systems rely on algorithms, many of which are based on machine learning from the intelligence field. However, choosing the algorithm for ...
    • Medical image reader powered by artificial intelligence 

      Palok, Tanvir Ahmed; Ahmed, Symum; Anim, Golam Kibria; Ratul, Shahed Sharif Bhuiyan; Alam, Shahrear (Brac University, 2023-09)
      Misdiagnosis in medical imaging is a critical concern, risking patients’ health due to the pivotal role of radiologists’ accuracy in diagnostics. Current cross-checking methods for radiologists’ decisions are limited, ...
    • Aspect based opinion mining on restaurant reviews 

      Tonmoy, Sazid Hasan; Ahmed, Faiyaj Bin; Sarkar, Madhurjya; Bashar, Mehejabin Binta; Ahmed, Rafi (Brac University, 2023-09)
      The way businesses are operating have changed due to the explosion of the internet. Social media has an increasing number of reviews as people are keen to express their opinions based on their experiences. Online reviews ...