Now showing items 912-931 of 1487

    • Kotha : the first to speech synthesis for Bangla language 

      Alam, Firoj (BRAC University, 2006)
      In this paper, we present Text to Speech (TTS) synthesis system for Bangla language. Here the system developed using phonology, G2P conversion and prosodic information in the festival [1] framework. Since Festival does ...
    • Krishobondhu : an automated system for diagnosis of paddy disease 

      Rozario, Shovon Paulinus (BRAC University, 2014-09)
      This paper demonstrates ‘Krishokbondhu’, an automated system for the farmers to identify paddy diseases using their mobile phones. The uploaded pictures captured by the mobile phones are processed in the remote server and ...
    • Krishoker-Hut: a novel approach to empower rural agricultural trade through technology 

      Nayeem, Md. Hasib Noor; Sipon, Abdullah Al; Rahman, Asfia; Bhowmik, Neeladri; Ahmed, Nafisa (Brac University, 2022-05)
      Agriculture is often considered as the key driver of economic growth in Bangladesh. However, many farmers residing in the rural areas barely even live hand-to-mouth. It is well established that farmers are ill paid given ...
    • Kubernetes performance analysis on different architectures 

      Faysal, MD Badsha; Amin, MD Sheikh; Tabassum, Bushra; Khan, Tamim Raiyan (Brac University, 2022-09-20)
      The web as we know it is continuously evolving and changing its shape rapidly. And every day the rate of new technologies being introduced is also increasing. Kubernetes is an excellent tool for cloud computing. Kubernetes ...
    • Leaf classification by feature extraction using CNN 

      Bhuiyan, Md. Mazharul Islam; Nowshin, Jakia; Jaheen, Atkiya (Brac University, 2019-12)
      Plants are an integral part of our nature. The identification and classification of plant leaves has always been a matter of interest for the botanists as well as the laymen. Classification of plant leaves will enable ...
    • Learning a deep neural network for predicting phishing website 

      Das, Robat; Hossain, Md. Mukhter; Islam, Shariful; Siddiki, Abujarr (Brac University, 2019-05)
      In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ...
    • Learning a ranking function for information retrieval using HybridABC 

      Newaz, S.M Saif; Pieta, Maliha Anjum; Ahmed, Mehreen (BRAC University, 2015-12)
      In this paper we propose a ranking algorithm, HybridABC that is built on swarm based algorithm. In our proposed HybridABC algorithm we merged Artificial Bee Colony (ABC) algorithm with Differential Evolution (DE) algorithm. ...
    • Learning computer programming using e-learning as a tool 

      Alam, Asharf; Hossain, Saddam (BRAC University, 2008-05)
      This thesis report seeks to design idea for e-learning programming tools. An intelligent education system could change one’s life towards a better future. In this software design, we used Visual Basic programming language ...
    • Learning skills - solutions to problems faced by students 

      Rahman, Farhana; Jahan, Farjana (BRAC University, 2007-04)
      Mind Mapping is a powerful tool that can be use for organizing, brainstorming, remembering, planning, taking lecture notes, essay writing etc. There are software available that help, to draw Mind Maps. Student, however ...
    • Leveraging deep learning algorithms for the timely detection of diseases in bean leaves 

      Fiona, Driciru; Denish, Ajani (Brac University, 2024-01)
      In sub-Saharan Africa, where agriculture is a major commercial activity, the security of staple crops like beans is threatened by persistent diseases, notably bean rust and angular leaf spot. Uromyces appendiculatus, the ...
    • Leveraging robust CNN architectures for real-time object recognition from conveyor belt 

      Moon, Nowrin Tasnim; Siddiqua, Sabiha Afrin; Parvin, Shahana; Muntaha, Sidratul; Hassan, K.M. Mehedi (Brac University, 2023-01)
      In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ...
    • Leveraging sequential deep learning models for detecting multitude of human action categories 

      Pranta, Kazi Al Refat; Islam, Fahad Mohammad Rejwanul; Ahmed, Khandakar Fahim; Saha, Prince; Rahman, Naimur (Brac University, 2023-09)
      In today’s world, where science and technology are constantly evolving day by day, people are drawn to tangible experiences and visual representations. There’s a growing effort to teach machines about human movements and ...
    • Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification 

      Faruk, Farhan; Alam, H.M. Sarwer (Brac University, 2024-06)
      Indeed it became crucial to develop an AI-driven system for detecting Renal illnesses spontaneously due to a healthcare issue of Renal failure. The global shortage of nephrologists is the core reason for this. This ...
    • License plate recognition 

      Chowdhury, Mohammed Abrar Ahasan; Rozaik, Soyelim Al; Shanto, Mahedi Hasan (Brac University, 2023-05)
      In today’s ever-growing technological society, Automatic License plate Recognition, ALPR, has many implications for solving traffic-related applications and transporta- tion planning. Identifying cars in pursuit or stolen ...
    • Literature survey of automatic face recognition system and eigenface based implementation 

      Ferdous, Shariful Islam; Ahmed, Sabbir (BRAC University, 2008-08)
      There are three fundamental grounds for me to write this survey paper: the first is to provide an uptodate review of the existing literature, and the second is to reveal some technical term that how a Computer can ...
    • A localized adaptive architecture for dynamic wireless sensor networks 

      Hussain, Sajjd; Ahmed, Muntasir; Joy, Kishanu Roy; Hasan, Md. Mehedi (Brac University, 2020-10)
      IoT is seen as the next big thing in the world to come. Previously people were less connected with the internet. But in recent years, IoT has seen substantial research and innovation in many technology areas, and uses ...
    • Location,time and preference aware restaurant recommendation method 

      Habib, Md. Ahsan; Rakib, Md. Abdur (BRAC University, 2016-08)
      Location based social networks (LBSN) introduce a platform to understand users ‘preference via analyzing the ir check-in history. Such data are being used in the literature for wide variety of location aware recommendation ...
    • Look before you leap 

      Titly, Ishrat Ahmad (BRAC University, 8/30/2007)
      In everyday life, we often spend most of our valuable time in traffic congestion's. Before using a path if one could get to know that the alternate path is much freer or having less congestion than the path, where the user ...
    • Looking into e-learning in Bangladesh implementing SUDOKU puzzle and KUMON learning system 

      Mishu, Sheikh Mohammad Ashrafullah; Khairullah, Rahat; Roy, Sumit (BRAC University, 2007-08)
      To build a knowledge based web portal from the ‘Distant Learning’ point of view where, a well-known puzzle game “SUDOKU”, a very new math learning method “KUMON” and image based “Logical Learning” will be implemented. SUDOKU ...
    • Lossless segmentation of Brain Tumors from MRI images using 3D U-Net 

      Farha, Ramisa; Nuha, Nigar Sultana; Sakib, Syed Nazmus; Rafi, Sowat Hossain; Khan, Md Sabbir (Brac University, 2022-01)
      2D computer vision and activities related to medical image analysis are remarkably guided with the help of Convolutional Neural networks (CNNs) in recent years. Since a chief portion in the available clinical imaging ...