Now showing items 254-273 of 1440

    • 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 ...
    • Cognitive load detection of vision impaired in the inward places using Bio-signal 

      Kabir, Raiyan; Rashid, Md. Mamun Or (Brac University, 2019-12)
      In this current world, approximately 290 millions of people are partially or fully blind. They can not roam around like the normal people. Visually Impaired People (VIP) have to face many obstacles everyday in inward and ...
    • coinBD: an enhanced version of proof of work with less computational power 

      Hossain, Mohammad Badrul; Akash, Sadman Sakib; Haque, Md. Asraful (BRAC University, 2018-12)
      Cryptocurrencies are digital currency system where transactions happen in a decentralized peer to peer network without and security provided by cryptography. Blockchain is the backbone technology behind cryptocurrencies ...
    • Collaborative distance learning system : interactive English pedagogy based on internet and e-media platform 

      Jahan, Tabassum Farzana; Ovee, Gholam Maruf; Rahman, Fahim Mahmudur (BRAC University, 2007-09)
      To enhance distance learning education through developing an effective English learning pedagogy based on internet and e-media. Analyzing and Designing the distant learning system of Bangladesh Open University (BOU), so ...
    • Color contrast processor and color scheme generator 

      Islam, Dhanad (BRAC University, 2007-12)
      Color contrast processor and color scheme generator is an integrated tool developed to aid user in finding a set of colors that have a notable level of contrast and brightness between them, and to help find a combination ...
    • A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks 

      Mahmud, Shakib Izaz; Shovon, Sartaz Islam; Hasnat, Md. Abrar; Na s, Md. Fahim (Brac University, 2021-09)
      Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ...
    • A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks 

      Raj, Mohammad Mainuddin; Tasdid, Samaul Haque; Nidra, Maliha Ahmed; Noor, Jobaer; Ria, Sanjana Amin (Brac University, 2021-01)
      Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores, robots, infrastructure and surveillance monitoring programs ...
    • A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks 

      Gomes, Paul Richie; Uddin, Muhammad Arman; Sabuj, Hasibul Hasan; Faiz, Raian Ibn (Brac University, 2020-04)
      We propose a color vision approach that enables normalizing images based on autoencoder technique using deep neural networks. The proposed model consists of three main different steps: image processing, encoding and ...
    • Community based energy efficient routing protocol for pocket switched networks 

      Sarkar, Ratna Rani (BRAC University, 2015)
      PSN (Pocket switched Network) is an emerging research magnet that has been attracting researchers. PSN mainly worked based on the human mobility patterns. In order to make better routing decision PSN consider social behaviors ...
    • Community search from multi-attributed large social graph 

      Khan, Riasat Islam; Khan, Sayed Mahmud; Debnath, Tanmoy; Islam, Md. Nazmul; Kayes, Muhtasim Ibne (Brac University, 2021-01)
      With the constant evolvement of social network structure, complex data, as well as graph structure, has been growing with increasing importance to model the interconnection of various entities. Community spot is a method ...