Now showing items 1-20 of 110

    • Acute Surgical BD 

      Islam, Md. Kamrul; Shohan, S.M.; Faysul, Tanjimul; Rumel, Tareq Hassan (United International University, 2018-07-17)
      Electronic Commerce is system of doing business through Online. A person sitting on his chair in front of a computer can entrance all the facilities of the Internet to buy the products or sell the products. Unlike ...
    • An Adaptive Ensemble Classifier for Mining Concept-Drifting Data Streams 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Zhang, Li; Hossain, Alamgir; Strachan, Rebecca; Sexton, Graham; Dahal, Keshav (Expert Systems with Applications, 2013-11-01)
      Traditional data mining techniques cannot be directly applied to the real-time data streaming environment. Existing mining classifiers therefore need to be updated frequently to adopt the changes in data streams. In this ...
    • Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Rahman, Mohammad Zahidur (International Journal of Computer Applications, 2011-06-01)
      In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier ...
    • amaderhatbazar.com 

      Faruk, Md. Omar (United International University, 2018-05-18)
      Technologies decreased our distance one to another. Before some years ago we saw message send and reached time. Today we can send a message with in second, of course we know many time need to reach. These contribution ...
    • Analysis of Tree in Computer-based Application 

      Sharif, Md. Kamal Ibne; Das, Abhijeet; Hyder, Nazmul; khan, Al Amin (United International University, 2018-10-24)
      The main target of our thesis “Analysis of Tree in Computer-based Application” was implemented some tree and some algorithm so that we can able to make some computer based applications. The applications will help you to ...
    • Articulatory Feature Based Automatic Speech Recognition Using Neural Network 

      Ifrat, Kazi; Israt, Kazi; Saimun, Imran Hossain; Akter, Fahima (United International University, 2018-07-06)
      Many ASR systems based on hidden Markov model (HMM) have been developed over the last years. Most of these use mel frequency cepstral coefficient(MFCC) of the speech signal, that considers the time frequency distribution ...
    • Attacks classification in adaptive intrusion detection using decision tree 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Harbi, Nouria; Bahri, Emna; Rahman, Mohammad Zahidur (World Academy of Science, Engineering and Technology, 2010-03-22)
      Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems ...
    • Attendance System for Multi-Shift Manufacturing Industries 

      Azam, Mohammad Ali (United International University, 2017-12-18)
      HR departments of many manufacturing industries in Bangladesh are reluctant to prepare a roaster for daily laborers. Usually a manufacturing industry runs multiple shifts for workers. Workers’ attendances are captured ...
    • An Automated Intelligent E-learning Approach for Ensuring Learning Outcomes 

      Chowdury, Hossain Ashik Mahmud (2018-02-27)
      E-learning is an innovative and effective way to perceive knowledge in the modern world. The web-based interactive system has become one of the most common needs in our generation. Thus E-learning has achieved enormous ...
    • Bangla Automatic Phoneme Recognition 

      Shweta, Shrobana Barai; Parvin, Irine; Liza, Nasrin Jahan; Saida, Aziza Tun (United International University, 2018-05-27)
      Speech recognition is now known a most challenging problem. People are trying to use speech recognition in so many applications to make their work easier. In Bengali language there are so many varieties in pronunciation. ...
    • Bangla Content Categorization Using Text Based Supervised Learning Methods 

      Al Mostakim, Sadek; Ehsan, Faiza; Hasan, Syeda Mahdiea (2018-09)
      The widespread and increasing availability of text documents in electronic form increases the importance of using automatic methods to analyze the content of text documents. Specifically, there is a great development in ...
    • Bangla Sentence Correction Using Deep Neural Network Based Sequence to Sequence Learning 

      Islam, Sadidul; Sarkar, Mst. Farhana; Hussain, Towhid; Hasan, Md. Mehedi (2018-09)
      Development in deep neural networks in particular to natural language processing has motivated researchers to apply these techniques in solving challenging problems like machine translation, automatic grammar checking, ...
    • Brain Machine Interface 

      Miah, Md. Ochiuddin; Rahman, Md. Mahfuzur; Meno, Md. Rashed Khan (2018-03-16)
      In last few decades fields like- Intelligence Systems for biosignals processing and modeling has developed extensively and this advancement has opened up many new windows of opportunities. Brain Machine Interface (BMI) is ...
    • CARECANCER.NET 

      Samira Muntaha (United International University, 2017-12-29)
      The website CARECANCER.NET is to assist Cancer Patients/Caregivers of affected people to find it easy to know or view symptoms, care, treatment, medicine store, hospitals, and emergency contacts, as per their own requirements. ...
    • CDIP-CSE ALUMNI MANAGEMENT 

      Dowla, Saif Ud; Hasan, Mahabub; Rabbe, S.M Rezai; Rahman, Md. Jillur (2018-10-02)
      Alumni association of an institute plays an important role to engage university people. Alumni is the face of an institute. They are often called university ambassadors. Alumni associations are often formed with universities ...
    • Cluster-Based Under-Sampling with Random Forest for Multi-Class Imbalanced Classification 

      Arafat, Md. Yasir (2018-02-19)
      Multi-class imbalanced classification has emerged as a very challenging re- search area in machine learning for data mining applications. It occurs when the number of training instances representing majority class instances ...
    • A Comparative Analysis of Sorting Algorithms with focus on Merge Sort 

      Sikder, Ashim Kumar (United International University, 2018-03-09)
      In our thesis work, we try to find out the efficiency of several sorting algorithms and generate a comparative report according to performance, based on experimental data size and data order for all algorithm. To do this ...
    • Control Strategy and Payment System for Department of Textile 

      Hasan, Tanvir Mamunul (United International University, 2018-08-28)
      To develop online one click registration & other services delivery by Department of Textiles by developing an e-center network using ICT for Department of Textiles to diminish their service seekers harassment and ...
    • Correlation-Based Feature Grouping with Decision Tree for Classifying High-Dimentional Imbalanced Data 

      Darda, Md. Abu; Panni, Md. Arbab Khan; Islam, Md. Bakktiar; Mamun, Md. Abdullah Al (2018-08-28)
      Classifying high-dimensional imbalanced data is a big challenge in mining real-world big data. Existing algorithms are classifying the majority class instances and get the maximum classification accuracy and minority ...