Now showing items 1-20 of 70

    • A New Approach for Compressing Color Images using Neural Network 

      Rahman, Chowdhury Mofizur; Rahman, A. K. M. Ashikur (CIMCA, 2003-02-14)
      In this paper a neural network based image compression method is presented. Neural networks offer the potential for providing a novel solution to the problem of data compression by its ability to generate an internal data ...
    • 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 ...
    • 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 ...
    • 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 ...
    • On the Power of Feature Analyzer for Signature Verification 

      Rahman, Chowdhury Mofizur; Mahmud, Jalal Uddin (IEEE, 2012-12-06)
      This paper is concerned with verification of signatures using feature analysis and non linear classifier. Signatures are collected and scanned to obtain input image. Preprocessing involves removal of noise and making the ...
    • 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 ...
    • Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Hossain, M Alamgir; Strachan, Rebecca (Expert Systems with Applications, 2014-03-31)
      In this paper, we introduce two independent hybrid mining algorithms to improve the classification accuracy rates of decision tree (DT) and naïve Bayes (NB) classifiers for the classification of multi-class problems. ...
    • Face recognition in the Edge Cloud 

      Muslim, Nasif; Islam, Salekul (ACM, 2017-07)
    • Secured Electronic Health Record Management Protocol 

      Islam, Salekul; Farzana, Syeda (ACM, 2017-07-26)
      Since digitization is now a common practice for storing and retrieving data, Electronic Health Record (EHR) management is becoming very popular. EHR management will bring many benefits including easy to store, cost effective, ...
    • The Impact of Bangabandhu Satellite on Telecom Sector in Bangladesh 

      Asaduzzaman, Md. (United International University, 2017-09-15)
      Satellite communications is now the integral part of most major telecommunications systems. Satellite allows people with no access to physical connectivity to join roundtable discussion from thousands of miles away can ...
    • 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 ...
    • A Survey on Multicasting in Software-Defined Networking 

      Islam, Salekul; Muslim, Nasif; Atwood, J William (IEEE Communications Surveys & Tutorials, 2017-11-23)
      Existing surveys of research into Software-Defined Networking (SDN) make only minimal mention of multicasting. We present a survey of existing multicast routing protocols in IP multicast, and a survey of existing and ...
    • Novel Feature Extraction for Predicting Gram-Positive and Gram-Negative Bacteria Protein Sub-cellular Localization 

      Uddin, Raihan (2017-11-25)
      Protein sub-cellular localization is defined as predicting the functioning location of a given protein in the cell. It is considered an important step towards protein function prediction and drug design. In this study, we ...
    • 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, ...
    • 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, ...
    • Prominent-Tech: E-Commerce Site for Electronic Goods 

      Newaj, Shah; Sharmin, Shamima; Begum, Nurjahan; Yeasmin, Maliha (United International University, 2017-12-09)
    • Designing Pedagogical Learning Environment in ICT 

      Hassan, Al Maruf; Tamanna, Tanjum; Tabassum, Tanjum; Afrin, Tanjina (2017-12-09)
      Pedagogy of ICT has great methodology in the interaction of the teachers teach, the students learn and the learning environment as well as the tasks. It helps expand the educational opportunities in different perspective, ...
    • Study on Single Source Shortest Path Algorithms 

      Afser, Md.; Shameem, Mejbah Uddin; Ferdous, Jannatul; Milon, Md. Mahtab Hossain (United International University, 2017-12-13)
      Single Source Shortest Path Algorithm is one of the most used algorithm for routing and tracking path around the world for communication. Nowadays various famous apps are also using this algorithm to track the path and ...
    • 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 ...
    • Study on Single Source Shortest Path Algorithms 

      Ferdous, Jannatul; Afser, Md.; Shameem, Mejbah Uddin; Milon, Md. Mahtab Hossain (United International University, 2017-12-18)
      Single Source Shortest Path Algorithm is one of the most used algorithm for routing and tracking path around the world for communication. Nowadays various famous apps are also using this algorithm to track the path and ...