Now showing items 841-860 of 2378

    • 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 ...
    • Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks 

      Chakraborty, Dhruba; Rabbi, Mahima; Hossain, Maisha; Khaled, Saraf Noor; Oishi, Maria Khanom (Brac University, 2022-01)
      Content centric network is a state-of-the-art networking architecture for content distribution and content caching. However, it is inefficient to cache every content in each network device. The modern edge computing ...
    • Cancer classification using deep learning from medical image data 

      Monir, Raiyan Janik; Shaon, Shoeb Islam; Noman, Syed Mohammad; Iqbal, Sahariar (Brac University, 2022-01)
      Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ...
    • Personalization in federated recommendation system using SVD++ with explainability 

      Patwary, Kabbya Kantam; Jawad, Abid Mohammad; Abir, Md Tahmid Chowdhury; Khushbu, Yuma Tabassum (Brac University, 2022-01)
      Large-scale distributed Artificial Intelligence (AI) systems are getting more widespread as traditional AI applications require centralizing large amounts of data for training models, posing privacy and security risks. ...
    • Epileptic seizure prediction using bandpass filtering and convolutional neural network 

      Rahman, Tasnia; Mustaqeem, Nabiha; Priyo, Jannatul Ferdous Binta Kalam; Shahariar, Ahnaf; Sharmin, Shaila (Brac University, 2022-01)
      Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ...
    • Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach 

      Haque, Adiba; Kabir, Anika Nahian Binte; Islam, Maisha; Monjur, Mayesha (Brac University, 2022-01)
      The connection between heart and kidney has been medically established. The presence of a condition affecting one of the organs impairs the other. Hence, the causal associations between two of the most long-term conditions: ...
    • Skin disease detection and classification using deep learning 

      Shuvon, Mehedi Hasan; Sadia, Rowshanara; Shormi, Shanjida Habib; Arafin, Umma Tania; Chowdhury, Md. Rawha Mikdad (Brac University, 2022-01)
      Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
    • 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 ...
    • Analysis on the effects of wallstreetbets on the stock market 

      Hossain, Abir; Sarker, Zahid; Radib, Md Sadman; Taher, Sayed Bin; Samrat, Syed Mohebbullah (Brac University, 2022-01)
      In January of 2021, the stocks of various companies, i.e. Gamestop, AMC etc. had a huge surge in price. The incident was attributed to redditors of the subreddit called r/wallstreetbets making a massively coordinated ...
    • 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 ...
    • An examination of the Big Bang Singularity using the matrix formulation of M-Theory 

      Husain, Sadat (BRAC University, 2020-09)
      M theory is a proposed quantum theory of everything which is connected to type IIA string theory via S duality. In its low energy limit, M theory is approximated by 11 dimensional supergravity. In this thesis, we look ...
    • A new multi robot search algorithm using probabilistic finite state machine and Lennard Jones potential function 

      Khan, Md. Shadnan Azwad (Brac University, 2017)
      Swarm robotics is a decentralized approach to robotic systems. This paper exammes the problem of search and rescue using swarm robots. We present as solution a multi-robot search algorithm using probabilistic finite state ...
    • Waste management system using RFID and ultrasonic sensor 

      Rahman, Md. Mafiur; Das, Nejhum Kanti; Rahat, Fardin Rizvy; Alif, Shamsul Arefin (Brac University, 2022-01)
      Bangladesh is a developing country, developing many different sectors of our country and countrymen although waste management quality is not very appreciable right now. We are introducing a smart waste management system. ...
    • Intelligent assisted living in pregnancy 

      Zaman, S. M. Tanveer; Tasneem, Rafia; Shakerin, Tasmia (Brac University, 2022-01)
      Pregnancy period has always been the most sensitive and tenacious phase for the mothers to go through. Despite living in this modern world, it is still difficult to fight with the distress and complications of pregnancy, ...
    • An experiment with simplex method for solving linear programming problems 

      Shameem, Samiha (Brac University, 2022-01)
      Linear programming (LP) is the most popular among optimization techniques used in production, industry, planning and in other areas. Simplex method for solving LP problems has been in use for more than 70 years. Despite ...
    • Blockchain based E-procurement system to eradicate corruption in public sector 

      Tajrin, Rabana; Tasnia, Lubaba; Masiat, Shabab; Rahman, Md. Alkawser (Brac University, 2022-01)
      Public procurement is a basic function of the government for providing services to its citizens. A digitalized, tamper proof public-procurement function not only helps a country to make progress but also helps in economic ...
    • Computer vision-based Bengali sign language to text generation 

      Tazalli, Tonjih; Liya, Sumaya Sadbeen; Aunshu, Zarin Anan; Hossain, Magfirah; Mehjabeen, Zareen (Brac University, 2022-01)
      In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ...
    • A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning 

      Anjum, Afra Antara; Islam, Sadaath; Majumder, Shaikat (Brac University, 2022-01)
      Recruitment is a crucial task for Human Resource Management (HRM) and determines the creation of a competent workforce that eventually brings tangible and intangible benefits for companies. Employees are key elements in ...
    • Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet 

      Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)
      The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ...
    • Classifying insect pests from image data using deep learning 

      Mohsin, Md. Raiyan Bin; Ramisa, Sadia Afrin; Saad, Mohammad; Rabbani, Shahreen Husne; Tamkin, Salwa (Brac University, 2022-01)
      The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ...