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

Now showing items 765-784 of 1258

    • 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 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 ...

    • 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 ...

    • Low latency image processing of transportation system using parallel processing coincident multi-threading (PPcM) 

      Shammi, Sanjana Khan; Sultana, Samia; Tasbih, Mashrura (BRAC University, 4/18/2017)
      Image processing is one of the most widely used and dominant techniques in different sector of multimedia services. It has been considered as the most prominent and successful method evaluating its development in the area ...

    • LRFMV: an efficient customer segmentation model for superstores 

      Toyeb, Md.; Mahfuza, Rezwana; Islam, Nafisa; Emon, Md Asaduzzaman Faisal (Brac University, 2021-06)
      In superstore business, the recency, frequency, and monetary (RFM) based on cus tomers’ purchase results is preferred to categorize valuable customers in order to increase profit margins. This paper develops an enhanced ...

    • LRFMVD : a customer segmentation model 

      Sagor, Kawsar Mahmud; Sadhin, Masrur Arefin; Jahan, Ishrat; Prottay, Rezwanul Karim (Brac University, 2023-05)
      Customer segmentation is a big part of the superstore industry. Traditionally, the RFM model has been used to segment customers to maximize profit. This work proposes a new customer segmentation named LRFMVD based on ...

    • LSTM based content prediction for edge caching using federated learning approach 

      Mazumder, Shafkat Ahmed; Paul, Piash; ZUBAIR, DIN MOHAMMAD; Haque, Maksudul; Mayukh, Jidni (Brac University, 2021-06)
      With rapid expansion and worldwide penetration of internet usage, there has been a rapid growth and development in the field of communication technology. To meet a never ending demand of excellence in quality and ...

    • Lung cancer detection and classification using machine learning 

      Arefin, Mahbubul; Hekim, Md. Lokman; Farjana, Afia; Bala, Nisarga (Brac University, 2023-05)
      Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When ...

    • Machine learning approach for ECG analysis and predicting different heart diseases 

      Tithi, Sushmita Roy; Aktar, Afifa; Aleem, Fahimul (BRAC University, 2018-12)
      In the modern world, there have been some revolutionary advancement in the field of medical science and research and this is no different for electrocardiogram. Electrocardiogram (also abbreviated as ECG) illustrates the ...

    • Machine learning approach for face recognition from 3D models generated by multiple 2D angular images 

      Mahmud, Moinuddin; Mehzabin, Shegufta; Prova, Sabrina Jahan (Brac University, 2018-12)
      We propose machine learning approach for face recognition from 3D models generated by multiple 2D angular images that recognizes faces from multiple angle of a 3D face model. Though, many works on identifying faces from ...