Now showing items 254-273 of 1472

    • Classification of Bangladeshi soil texture using convolutional neural network 

      Raj, Hafiz Mohiuddin; Shahreen, Sazia; Shah, Muntaha Binte; Evan, Syed Washinur Ashraf; Abdullah, Juhayer (Brac University, 2022-09-29)
      In agriculture, soil is one of the most potential output sources. That is why, if we can foresee the soil’s nature and how it will turn in the future as well as it’s other qualities, we may achieve adequate monitoring ...
    • Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning 

      Islam, A.M. Tayeful; Nujhat, Marshia; Roy, Atanu; Agomoni, Ahmed Mayeesha Reza (Brac University, 2022-09-29)
      Ultrasound (US) examination is a widely used important instrument to monitor mother and fetus health in a cost-effective and non-invasive way. The acquisition of Ultrasound (US) images to determine vital fetal organs for ...
    • Classification of different magnetic structures from image data using deep neural networks 

      Ibn Hasib, Fahad; Swarna, Nakiba Farhana (Brac University, 2021-09)
      We apply machine learning, specially deep neural network approaches, to train a new model that can perform an effective classification of ferromagnetic, anti ferromagnetic, skyrmion, anti-skyrmion and spin spiral ...
    • Classification of modulated motor cortex based on Anodal and Cathodal tDCS 

      Chowdhury, Zarif Ahmed; Alam, Dewan Nahidul; Nahid, Md. Abu Fattah Hossain Bhuiyan (Brac University, 2019-12)
      Over the centuries, humans have wished to achieve the ability to understand the inner functions of the mind and brain. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes ...
    • Classification of music based on correlation between mood, linguistic and audio features 

      Sobhan, Md. Mashrur Bari (BRAC University, 2018-05)
      The emergence of music in recent times has been enviable. Some people consider music to be an integral part of their regular lives, while others sometimes even consider music to be some divine inspiration setting the mood ...
    • Classification of peripheral blood cell images using deep learning 

      Aadi, Oyshik Ahmed; Akash, Md.Meghdad Hossain; Ishraq, Fahim; Hossain, Asif; Al Fahim, Abdullah (Brac University, 2023-01)
      Diagnosis and Identification of cells and disease infected cells are and important part of in medical science that bears huge significance even today. There are health implications can often be identified my observing ...
    • Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques 

      Ahasan, Md. Mubtasim; Fahim, Mohammad; Mazumder, Himadri; Fatema, Nur E; Rahman, Sheikh Mustafizur (Brac University, 2022-01)
      Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ...
    • Classification of retinal diseases from OCT images using deep learning models 

      Mokarrom, Md Saif; Shuvo, Md Anonto; Oyon, Nazmul Hasan; Munaja, Rifha Hossain; Roy, Soumik (Brac University, 2024-01)
      Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ...
    • Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network 

      Khan, Afsana; Nabila, Fariha Haque; Mohiuddin, Masud; Mollah, Mahadi (Brac University, 2022-05)
      Machine learning (ML) is such a field that focuses on learning based method. It basically leverage data to improve the performance on particular tasks. It creates a model based on training data and makes prediction ...
    • Classification technique for face-spoof detection in artificial neural networks using concepts of machine learning 

      Una, Anika Anjum; Haque, Erina; Ritu, Nishat Sultana; Haque, Zarin Tasnim; Opal, Rifat Shahran (Brac University, 2021-06)
      In biometric technology, face recognition techniques are considered the most signif icant research area. This technology is abundantly used in security services, smart cards, surveillance, social media, and ID verification. ...
    • 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 ...
    • Classification of damaged vegetation areas using convolutional neural network over satellite images 

      Haque, Samiha; Rahman, Nazibur (Brac University, 2021-01)
      Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...
    • Cleaning of web scraped data with Python 

      Tarannum, Tasnuva (2019-04)
      Today, data expect a basic occupation in individuals' step by step works out. With the help of some database applications, for instance, decision sincerely steady sys- tems and customer relationship the board structures ...
    • Cloud based smart parking system using IoT technology 

      Rahman, Zubydur; Hossain, Ahmed Tanzeer; Karim, Nibras Abdullah; Jayeed, Mohammad (BRAC Univeristy, 2017-08)
      The number of vehicles on Bangladeshi roads are expected to increase by 360 000 by 2035, reducing average speed from an already miserly 6.4 kph to 4.7 kph – walking speed for most people. [18] While major infrastructural ...
    • 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 ...
    • Cloud computing across different platforms 

      Karim, Israt; Sarwar, Sumaiya (BRAC University, 2013-12)
      In this project we have studied fundamentals of cloud computing. We have studied architectures of different Cloud solutions. We have covered major advantages and disadvantages of Cloud Computing. We have also covered ...
    • Clustering and detection of good and bad rail line anchors from images 

      Islam, Samiul; Khan, Rubayat Ahmed (© 2015 Institute of Electrical and Electronics Engineers Inc., 2016-06)
      Absence of railway anchors/fasteners is a serious concern as it might lead to severe consequences such as train derailments. Hence regular inspection is an obligation to ensure safety. The third world countries choose the ...
    • Clustering web pages based on doc type structure in a distributed manner 

      Kader, Kazi Samiul; Nawar, Sagufa; Ananna, Nusrat Sharmin; Khan, Sarah (BRAC University, 2015)
      Web page clustering is an important part of modern web technology. By structuring similar web pages together we can find related information, suggest similar choices etc. All modern search engines depend on web ...
    • Code generation for JVM , NET, and MIPS targets from C minus language 

      Islam, Zahurul (BRAC University, 2005-05)
      The C was one of the well-built and popular language in the field of computer science. Now this days programmers are move away form C to use in the field of software development. One of the main causes is most of the ...
    • Cognitive efficiency in robot control by Emotiv EPOC 

      Chowdhury, Pritom; Shakim, S. S. Kibria; Karim, Md. Risul; Rhaman, Md. Khalilur (© 2014 IEEE Computer Society, 2014-05)
      Brain Computer Interface (BCI) has opened a new era in the field of neuroscience. It has the potentiality to improve the quality of life of severely disabled patients. It allows them to regain the power of moving things ...