Now showing items 859-878 of 1418

    • 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 ...
    • A looking-out portal (LOP) approach to enhance qualitative aspects of bandwidth utilisation in academic networks 

      Ahmed, Waseem; Ansari, Zahid; Herrmann, Johannes U.; Abdullah, Matin Saad (© 2011 Inderscience Enterprises Ltd., 2011-11)
      Campuses of educational institutions periodically need to increase network bandwidth to keep up with increased demand and this decision is based on the quantitative aspects of the network bandwidth utilisation. The qualitative ...
    • 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 complexity routing algorithm for rearrangeable switching networks 

      Chakrabarty, Amitabha; Collier, Martin J. (© 2013 IEEE, 2013-03)
      For a long time among the research community. Routing algorithms for this class of networks have attracted lots of researchers along with other related areas, such as modification of the networks structure, crosspoints ...
    • 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 ...
    • LRFS: online shoppers’ behavior based efficient customer segmentation model 

      Khan, Riyo Hayat (Brac University, 2023-02)
      The popularity of online shopping has grown significantly across the globe in recent years. This research proposes a customer segmentation model LRFS, an extended version of LRF model, built specifically for online ...
    • 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 ...
    • LVQ and HOG based speed limit traffic signs detection and categorization 

      Biswas, Rubel; Tora, Moumita Roy; Bhuiyan, Farazul Haque (© 2014 IEEE Computer Society, 2014)
      The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed ...
    • Machine fault diagnosis using a modified transferable CNN 

      Shammi, Sanjana Khan (Brac University, 2023-07)
      Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ...
    • 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 ...
    • Machine learning approach for improving decision support in ICU 

      Siddiquee, Mohib Billah; Fuad, Mostofa Jamil; Azmain, Md. Fahim (BRAC University, 2018-07)
      Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ...
    • A machine learning approach on classifying orthopedic patients based on their biomechanical features 

      Hasan, Kamrul; Islam, Safkat; Samio, Md. Mehfil Rashid Khan (BRAC University, 2018-04)
      A person’s orthopedic health condition can be detected from his biomechanical features. Application of machine learning algorithms in medical science is not new. Different algorithms are applied to detect diseases and ...
    • A machine learning approach to analyze and predict rainfall in different regions of Bangladesh 

      Rahee, Arnob; Nafiz, Md. Montasir; Bhuiyan, Sania Azhmee (Brac University, 2021-08)
      Rainfall has always been important in context of Bangladesh as almost 43% of the population depends on agriculture for their livelihood. Global warming has been taking a toll on environment and rainfall patterns have ...
    • A machine learning approach to credit default prediction and Individual credit scoring 

      Rahman, Md. Jaber; Ahmed, Hasib; Alam, A. N. M. Sajedul (BRAC University, 2018)
      In our country the credit scoring system is not in practice yet so as for our undergrad thesis, we have taken upon the challenge of delivering a model well equipped with machine learning techniques to predict loan defaults. ...