Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title

Now showing items 797-816 of 1583

    • High altitude platform: solution for rainfall attenuation 

      Kazi, Reshad Rasul (BRAC University, 2008-05)
      High Altitude Platform Stations (HAPs) are communication facilities situated at an altitude of 17 to 30 km and at a specified fixed point relative to the Earth. They are mostly solar-powered, unmanned, and remotely ...

    • High frequency rainfall prediction using machine learning approach to numerical weather modelling 

      Borna, Afsana Afrin; Ani, Ashfak Ahmed; Ashhab, Mahir; Saleh, Shahriar (Brac University, 2021-06)
      The weather has an impact on almost every aspect of our daily lives. Life would be much easier if we could control the weather. Until then, we will have to settle for trying to predict weather but weather prediction is ...

    • Home Automation System Based on IoT 

      Islam, Asraful; Nasif Talukder, Md Shahriar; Hossain, Sajid; Ul-Kabir, H.A Ibtihaz (Brac University, 2022-09)
      Home automation was created primarily to assist and support the elderly and dis abled at home. Home appliances are designed based on a computer device platform to automate the use of a Bluetooth and wireless interface ...

    • Home automation with eye-blink for paralyzed patients 

      Bose, Deep; Bibu, Rana Kayser; Shovon, Tanvir Mahmud (BRAC University, 12/24/2017)
      The constant demand to improve daily living standards for paralysis patients or general people serves as a motivation to develop newer technology. The tasks once performed by big traditional computers are now solved with ...

    • Home rental system implementing constraint satisfaction problem 

      Momtahana, Nusrat; Tabassum, Nawshin (BRAC University, 12/14/2016)
      An efficient and dynamic home rental system which users can access through their mobile phone with no hassle is a desire of every tenant in Bangladesh. In this era of technology no one want to roam around to find a vacant ...

    • Homeland - a project by Aveneur Solutions 

      Rahman, Ashiqur (Brac University, 2021-09)
      Aveneur Solutions is an aesthetic-first web design, digital content, and software development company - serving businesses both large and small. It is a creative IT company that provides a diverse set of services tailored ...

    • Homomorphic encryption on deep learning in accurate prediction of brain tumour 

      Sarwar, Arafat; Hossain, Shakhawat; Bhuiyan, Risum Ahmed; Mahmud, Tanun (Brac University, 2023-01)
      The brain is the most complicated organ that manages every bodily function as well including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature, and appetite. Any type of disease or damage ...

    • Human Activity Recognition using wearable body sensor by machine learning approach 

      Promi, Sadia Tangim; Rahman, Md. Zahidur; Mostafa, Moumita; Harun, Sarah Bintay (Brac University, 2019-12)
      The prevalence of electronics devices and the increase in computer resources, like networking, storage, accessibility and sensor capacity, have significantly improved the lives of humans. Now a days most smart devices ...

    • Human fall control system for disabled people using double inverted pendulum 

      Rashid, Md. Rezaur; Shuvra, Neel Kanto Das; Roy, Raj Shekhor; Sarker, Shraboni (BRAC University, 2017)
      Self-balancing is an important role of human body which helps us to stand, to walk or swaying on feet. Without balancing, our body may fall because our legged system can’t hold if there is any disturbance. In this research, ...

    • Human identification using dental radiograph 

      Fahad, Salem Quddus; Hasan, Md. Nazmul; Sultana, Sharmin; Rabbani, Golam Shams (BRAC University, 2017-12)
      Dental biometrics is a very important feature in human identification. It can help greatly in Forensic Dentistry. In this paper, we present a method for identifying people based on shapes and appearances of their teeth ...

    • Human identification using wifi signal 

      Nipu, Md. Nafiul Alam; Talukder, Souvik (BRAC University, 12/26/2017)
      There have been a large number of methods already exists to identify human(e.g.,face recognition, gait recognition, fingerprint identification, etc.). Channel State Information(CSI) obtained from Wifi chipsets already has ...

    • Human recognition using wireless router signal 

      Chowdhury, S. M. A. Muksit; Shawon, Hasinur Are n; Patwary, Tanvir Wazy Ullah; Rahman, Rukshanda (Brac University, 2019-08)
      Human identi cation technology can revolutionize numerous sectors in human life and a large number of methods already exist to identify humans such as voice recognition, ngerprint identi cation, face recognition and so ...

    • Human resource management system 

      Shams, Iftakhar Rasul (Brac University, 2023-09)
      Internships offer students valuable opportunities for experiential learning outside of the conventional academic setting, enabling learners to cultivate competencies, knowledge, and interpersonal aptitudes via hands-on ...

    • Human sentiment analysis using natural language processing 

      Shamya, Md. Shamiul Haque Khan; Fahim, Md. Shariar Hossain; Khan, Niaz Makhdum; Monir, K.M Mahfuzul; Hussain, Mubasshir (Brac University, 2023-05)
      "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ...

    • A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm 

      Islam, Abrar; Acanto, Orbin Ahmed; Drishty, Mehzabin Islam; Zaman, Samonty; Ahmed, Jaber (Brac University, 2022-01)
      Patients are considered to be one of the most vulnerable persons. When it comes to critical patients their movements and behaviors need to be monitored constantly as simple negligences could result in severe consequences. ...

    • A hybrid based model on LSTM-CNN to multi-class emotion analysis on social networking dataset 

      Chowdhury, Ibtehaz Ali; Dewan, Eshad; Jishan, TM Nafi z Mahmood; Kabir, Samiul; Mazumder, Joyasish (Brac University, 2021-01)
      Sentiment analysis from texts has been a major research eld in NLP. However, most of the studies are on binary (positive and negative) classi cation of the texts. While researching, we found that the accuracy of multi-class ...

    • A hybrid fake banknote detection model using OCR, face recognition and hough features 

      Zarin, Adiba; Tasnim, Ummay; Jahan, Israt (BRAC University, 8/13/2018)
      Currency duplication is now a common occurrence due to the advancement of printing and scanning technology. Many note detection systems are present in banks but they are very costly. In this paper, we are proposing an ...

    • A hybrid fake banknote detection model using OCR, face recognition and hough features 

      Zarin, Adiba; Tasnim, Ummay; Jahan, Israt (BRAC University, 2018-08)
      Currency duplication is now a common occurrence due to the advancement of printing and scanning technology. Many note detection systems are present in banks but they are very costly. In this paper, we are proposing an ...

    • A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN 

      Chowdhury, Asif Hasan; Islam, Md. Fahim; Riad, M Ragib Anjum; Hashem, Faiyaz Bin (Brac University, 2022-09-22)
      The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A Hybrid FL-Enabled Ensemble Approach For Lung ...

    • A hybrid FL-enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN 

      Chowdhury, Asif Hasan; Islam, Md. Fahim; Riad, M Ragib Anjum; Hashem, Faiyaz Bin (Brac University, 2022-09-28)
      The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A hybrid FL-enabled ensemble approach for ...