Now showing items 70-89 of 238

    • E-commerce System (MIK Online Shop) 

      Imran, Md. Imdadul Haque; Rahman, Md. Akhlakur; Asfat, Kowshiq (2018-01-28)
      E-Commerce site that is the buzzword bound to bring curiosity from everyone concerned about buy or sell. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the ...
    • Early Prediction Model of Macrosomia Using Machine Learning for Clinical Decision Support 

      Shamshuzzoha, Md (MSCSE Program, United International University, 2024-01-05)
      The condition of fetal overgrowth, also known as macrosomia, can cause serious health complications for both the mother and the infant. It is crucial to identify high-risk macrosomia- relevant pregnancies and intervene ...
    • Educare Forum 

      Sarkar, Shubhra; Debnath, Pankaj; Razu, Zahidul Islam; Islam, Rownok Alahi (2018-07-17)
    • An Effective Meeting Tracking & Management System for Selecting Union Parishad’s Project 

      Md. Sami, Mustaque (2021-10-31)
      Strengthening local government institutions is an essential element of effective democracy, which is a prerequisite for ensuring good governance. The practice of good governance is important for decentralized administration. ...
    • ELECTRONIC BIDDING 

      Kabir, Shihab; Akter, Roksana; Mehdi, Md. Rafat Al; Rabbi, Md. Reza-e (United International University, 2018-07-17)
      E-commerce is getting popularized day by day around the world and eventually in our country. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the products. ...
    • Enhanced Classification Accuracy on Naive Bayes Data Mining Models 

      Rahman, Chowdhury Mofizur; Kabir, Md. Faisal; Hossain, Alamgir; Dahal, Keshav (International Journal of Computer Applications, 2011-08-01)
      A classification paradigm is a data mining framework containing all the concepts extracted from the training dataset to differentiate one class from other classes existed in data. The primary goal of the classification ...
    • Enhanced prediction of A-to-I RNA editing sites using nucleotide compositions 

      Ahmad, Ahsan (2019-08-31)
      RNA editing process like Adenosine to Intosine (A-to-I) often influences basic functions like splicing stability and most importantly the translation. Thus knowledge about editing sites is of great importance in molecular ...
    • EoT: Ensemble of Trees For Classifying High Dimensional Imbalanced Data 

      Huda, Md. Nurul (2018-02-27)
      Class imbalance classification is a challenging research problem in data mining and machine learning, as most of the real-life datasets are often imbalanced in nature. Existing learning algorithms maximize the classification ...
    • ERP 360: A Robust Enterprise Resource Planning For Educational Institutions 

      Rahaman, Md. Ashifur; Islam, Md. Ariful (2018-05-22)
      In most of the organizations mainly the educational institutions in Bangladesh does not have any digitalized system for complaint or requisition management for their employees. A software system could help the organization ...
    • An Evaluation of Automated Credit Scoring System for Financial Services in Developing Countries 

      Unknown author (2018-02-26)
      As the world is dependent on monetary stuff, credit has become consequential in our way of life. Therefore, credit scoring has become a comprehensively practiced strategy that helps bank and other financial organizations ...
    • Evaluation of Online MCQ Test System 

      Khan, Md. Shariful Hasan (United International University, 2017-11-11)
      Education of any kind is necessary for man to develop socially and intellectually. Every day we learn something new. An education should be rooted to culture and committed to progress. Each of us has a social personality ...
    • Evaluation On Dhallywood Movies Based On Machine Learning 

      Akter, Sharmin (United International University, 2020-10-20)
      The film is an exciting source of investment for passionate movie makers. The profitable nature of motion picture industry attracts movie creators to involve with it. In a such scenario, this is very important to evaluate ...
    • Event Detection and Violence Recognition from Textual News through Multilayer Perceptron and Supervised Learning 

      Alam, Tasmia Ishrat; Mamun, Imtiaz; Khandokar, Iftakhar Ali; Anas, Zubair Ahmed (2018-11)
      An unprecedented way is accomplished by using concept words derived from statistical context analysis between sentences which is better than traditional methods that use only keyword representation. Through scaling to a ...
    • Extracting Meta Knowledge from Machine Learning and Data Mining Algorithm 

      Nath, Meshu Deb; Tabannur, Mehbuba; Tonoy, Md Mahamudul Hasan; Saha, Susmita (2018-05-10)
      Extracting meta-knowledge from real-world meta-data is a challenging task, which is a fundamental conceptual instrument for knowledge engineering and knowledge management. Meta-knowledge is a knowledge that learns to ...
    • Face recognition in the Edge Cloud 

      Muslim, Nasif; Islam, Salekul (ACM, 2017-07)
    • A Feature Group Weighting Method for Classifying High-Dimensional Big Data 

      Sarker, Shakila (2019-11-25)
      Features hold the distinctive characteristics and intrinsic values of data. But it's of no use if the important information and pattern can not be extracted from the data coming from disparate sources and applications. ...
    • Feature Selection Method for DNA-Binding Protein Identification 

      Chowdhury, Shahana Yasmin (2017-12-03)
      DNA-binding proteins play a very important role in the structural composition of the DNA. In addition to that they regulate and effect various cellular processes like transcription, DNA replication, DNA recombination, ...
    • Federated Learning with Adaptive Deep Rule-Based Classifier 

      Saha, Dipu (UIU, 2024-07-15)
      In the past, data processing required the transportation of data to computational re- sources. However, the current paradigm entails the deployment of computational resources to the data’s location. Federated Learning, a ...
    • Find It – A NewWay to Learn Through Play 

      Bari, Md. Tashfiqul; Hassan, Tanvir; Tabassum, Raisa; Ahmed, Zubaida (2018-10-20)
      Curiosity leads human to various inventions to solve problems and cures too many diseases. Autism Spectrum Disorder (ASD) is such a term that there are many researches enduring like Magnetic Resonance Imaging (MRI), called ...
    • Flip-Flop Conversion using Clustering 

      Rashid, Yamir; Mohammad, Prince (United International University, 2018-12-24)
      This thesis work describes the conversion of flip-flops (FF) using Clustering method to generate the Sum of Products (SOP) from the K-Maps. The approach to this work is divided into two major steps: generation of the ...