Now showing items 761-780 of 1520

    • An efficient traffic management system to detect lane rule violation using Real-time Object Detection 

      Arnob, Faed Ahmed; Fuad, Md. Azmol; Nizam, Abu Tahir; Siam, Arifin Tanjim (Brac University, 2021-06)
      There has been an upsurge in the number of issues with Bangladesh’s present traffic control system. Hence, several accidents have occurred frequently. The two primary causes of a rise in the number of injuries are ...
    • A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors 

      Hasan, Moenul; Uddin, A.K.M. Faiyaz; Ghosh, Anoup (Brac University, 2021-06)
      Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion line. Therefore, establishing a reliable and ...
    • Blockchain-based edge computing for medical data storage & processing using federated learning 

      Faiyaz, Fazle Rabbi; Lisa, Afrin Sultana; Rahat, Laisa; Tabassum, Nafisa; Istiaq, Walid Bin (Brac University, 2021-06)
      With a great number of IoT devices being used in healthcare and a massive rise in medical data produced by these devices, data storage and processing systems using the traditional cloud computing framework are not enough ...
    • A model for underwater security in communication using Secret Key Algorithm and Node Value 

      Shuvo, MD. Saidul Arifin; Firdaus, Mustafa Tamim (Brac University, 2021-06)
      Underwater wireless network has become one of the most significant research areas in the networking field nowadays as it has huge possibilities. Underwater communication can be used for collecting data of undersea ecology, ...
    • Implementation of real-time learning on homomorphically encrypted visual inputs 

      Bhuiyan, Emtiaz MD Tafsir; Rahman, Mushfiqur; Mondal, Sudipta; Warech, Sadman (Brac University, 2021-06)
      It’s challenging to provide security for cloud-based services, especially for cloud processing services, due to the fact that typical encryption techniques do not al low for calculation on encrypted data. The formation ...
    • Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals 

      Amiz, Asef Hassan; Talukder, Md. Golam Muid; Shahriar, Labib; Chowdhury, Sahal Ahamad; Hasan, Md. Mehedi (Brac University, 2021-06)
      Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ...
    • Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms 

      Saquib, Nazmus; Mithun, Kaniz Fatema; Tasnim, Jarin; Sen, Pushpol (Brac University, 2021-06)
      In the highly advanced and competitive business world, today’s marketing strategy has become very difficult. To satisfy the needs and necessities of consumers, advanced marketing research methods are required to recognize ...
    • FakeDetect: Bangla fake news detection model based on different machine learning classifiers 

      Sraboni, Tasnuba; Uddin, Md. Rifat; Shahriar, Fahim; Rizon, Ruhit Ahmed; Polock, Shakib Ibna Shameem (Brac University, 2021-06)
      Information is power although fake information can have severe consequences when it gets viral. Living in the era of social media is like always getting influenced by the news of the online world even though it is fake. ...
    • BigPsy: a big data framework to support psycho-informatics 

      Muizz, Rashik Al; Uddin, Md. Sakib; Sakib, Mirza Md. Nazmus; Islam, S.M.Fahmidul; Ahmed, Nourin (Brac University, 2021-06)
      Human conduct and state of mind are fundamental pieces of both psychiatry and psychological research. A person’s mental state can be determined by analyzing his behavioral patterns which contain subtle signals. This paper ...
    • Cloud based smart route system for blinds 

      Nijhum, Mushfikunnabi; Alam, Tasnim (Brac University, 2021-06)
      Safe and independent navigation in an unfamiliar environment is a difficult task for visually impaired individuals. Existing systems are unusable because these systems are not user-friendly and also expensive. The objective ...
    • What is relevant in a text document a machine learning based approach 

      Mahmud, Abdullah Al; Noor, Jannat-E; Reshad, Sadman Alam; Fuad, Syed Nafis (Brac University, 2021-06)
      Text Documents often contain valuable data. But not all data is relevant. That is why extracting relevant data from text documents is an essential task. Extracting relevant data from text documents refers to the study ...
    • Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness 

      Sabit, Ahmed Bin; Ahsan, Asif; Tasnim, Zarin (Brac University, 2021-06)
      In the context of the crime scenario in Bangladesh, people face enormous crime situations which can be eradicated by applying some technological solution. For this a research work needs to be conducted by news segmentation ...
    • Social media sentiment study on COVID-19 outbreak 

      Karmaker, Anik; Hafiz, Nayeem Mohammad; Chanda, Anir (Brac University, 2021-06)
      On 11th March 2020, the World Health Organization announced the COVID19 outbreak as a pandemic. Starting from China, this virus has infected and killed thousands of people from Italy, Spain, the USA, Iran, and other ...
    • Smart companion agent for mental well-being through Deep Learning and NLP 

      Khan, Rafiur; Sohel, Abdullah Al; Shreyashee, Farhana Azad; Hossain, Shamima; Fiaz, Mahin (Brac University, 2021-01)
      Mental disorders are an unfortunate reality among the general population nowadays. Conditions like anxiety; depression may seem trivial on the surface but have serious consequences on an individual’s life. These disorders ...
    • A feature selection approach to determine obesity using machine learning method 

      Antor, Shahidul Alam; Ahmed, Jawad; Nayen, Zulker; Tabassum, Farisha; Mahbub, Rasheda (Brac University, 2021-06)
      The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors such as genetics, behaviour, and other issues. Obesity ...
    • Character animation using reinforcement learning and imitation learning algorithms 

      Tahmid, Tokey; Lobabah, Mohammad Abu; Ahsan, Muntasir; Zarin, Raisa; Anis, Sabah Shahnoor (2021-06)
      Real-time character animation for gaming and film industries is challenging and achieving production-ready quality is the hardest part. Managing time and resources also plays a vital role here. Animation through marker-based ...
    • Amazon product reviews sentiment analysis using supervised learning algorithms 

      Hawladar, Mohibullah; Ghosh, Arjan; Raad, Zaoyad Khan; Chowdhury, Wali Ahad; Shehan, Md Sazzad Hossain (Brac University, 2021)
      E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The ...
    • Research on generative sign language using neural networks 

      Selim, Bushra Binte; Iqbal, Maliha; Shahriar, Asif; Faria, Fauzia; Mostafa, Rafid (Brac University, 2021)
      Sign gesture, which is one type of non-audible specialized strategy is the medium to correspond with individuals having auditory and talking incompetency. There are numerous computerized methods of creating gesture-based ...
    • Reinforcement learning based electricity price forecasting in Blockchain based smart grid environment 

      Moti, Md Mahraj Murshalin Al; Uddin, Rafsan Shartaj; Anik, Abdul Hai; Saleh, Tanzim Bin (Brac University, 2021)
      Electricity is deeply integrated into both our modern society and the economy. However, with our ever-growing society and increasing demand for electricity, the scarcity of resources is deeply felt through load shedding ...
    • Real time action recognition from video footage 

      Apon, Tasnim Sakib; Chowdhury, Mushfiqul Islam; Reza, MD Zubair; Datta, Arpita; Hasan, Syeda Tanjina (Brac University, 2021)
      Crime rate is increasing proportionally with the increasing rate of the population. The most prominent approach was to introduce Closed-Circuit Television (CCTV) camera-based surveillance to tackle the issue. Video ...