Computer Science & Engineering (CSE): Recent submissions

  • Chapman-Kolmogorov Relation Based Median String Algorithm for DNA Consensus Classification 
    Kaysar, Mohammad Shibli; Khan, Mohammad Ibrahim (EWU, 2019-05-03)
    Consensus string is the most frequent common pattern in a set of string. Consensus string is an important feature of DNA sequence. Many algorithm have been introduced to discover consensus string. Among them, median ...
  • Path and Partner Selection in Unstructured Resource- Constrained Environments Based on Node Psychology in the Context of IoT 
    Debi, Tanusree; Assaduzaman (EWU, 2019-05-03)
    Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose main feature is the reliable communication and fast data exchange among devices in any network topology. In the upcoming world ...
  • Zebra-Crossing Detection and Recognition Based on Flood Fill Operation and Uniform Local Binary Pattern 
    Meem, Mahinul Islam; Dhar, Pranab Kumar; Khaliluzzaman, Md.; Shimamura, Tetsuya (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Zebra-crossing region detection from a zebracrossing image is an important and demanding task to support visually impaired people to navigate the street crossing safely in the outdoor environments. In this paper, a ...
  • Word Sense Disambiguation of Bengali Words using FP-Growth Algorithm 
    Kaysar, Mohammad Shibli; Khaled, Md. Asif Bin; Hasan, Mahady; Khan, Mohammad Ibrahim (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Word Sense Disambiguation (WSD) is the task of determining the specific meaning of an ambiguous word according to the context. In the realm of natural language processing, WSD is an open problem, and its development ...
  • Talking vs Non-Talking: A Vision Based Approach to Detect Human Speaking Mode 
    Afroze, Sadia; Hoque, Mohammed Moshiul (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Human talking mode detection is an important issue in human-computer interaction. In this work, we propose a method for detecting human talking and non talking mode detection based on supervised machine learning approach. ...
  • Solving Multiple Depot Vehicle Routing Problem (MDVRP) using Genetic Algorithm 
    Mahmud, Nafiz; Haque, Md. Mokammel (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Vehicle Routing Problem is a NP-Hard classical complex combinatorial problem described as task of determining efficient and shortest delivery or pickup routes to service several customers scattered in different geographical ...
  • Real-Time Distraction Detection Based on Driver’s Visual Features 
    Alam, Lamia; Hoque, Mohammed Moshiul (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Driver’s distraction has been listed as the leading contributing factor to traffic accidents for the past decades. This paper focuses on developing an approach to detect distraction real time by analyzing driver’s visual ...
  • Performance Analysis of Machine Learning Techniques to Predict Diabetes Mellitus 
    Faruque, Md. Faisal; Asaduzzaman; Sarker, Iqbal H. (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a ...
  • Moving Object Detection against Sudden Illumination Change Using Improved Background Modeling 
    Mohajan, Gowrab; Dhar, Pranab Kumar; Ahmed, Mohammed Toufiq; Shimamura, Tetsuya (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    This paper presents a moving object detection method against sudden illumination change using improved background modeling. Initially, background model is created for every pixel from the first frame. The sample values ...
  • Handwritten Bangla Numeral and Basic Character Recognition Using Deep Convolutional Neural Network 
    Hakim, S M Azizul; Asaduzzaman (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    In this paper, the problem of recognizing handwritten Bangla characters is addressed. Handwritten character recognition is one of the most practiced tasks in computer vision. Over the past few years Convolutional Neural ...
  • Human Detection Based on HOG-LBP for Monitoring Sterile Zone 
    Kamal, Farjana Bintay; Mitra, Sangita; Khanam, Tahmina; Acharjee, Uzzal K.; Das, Dipankar; Deb, Kaushik (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Human detection has enormous application area in autonomous video surveillance and human-computer interaction. Detecting suspicious event has become a very crucial issue in the current circumstance of our society. As a ...
  • Developing a Bidiretional Mutual Gaze Mechanism for Human Robot Interaction 
    Sharmin, Shayla; Hoque, Mohammed Moshiul (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Establishing mutual gaze is one of the most fundamental capabilities to initiate any interaction in both human-human and human-robot communications. This capability of mutual gaze is particularly important when people ...
  • Compression of Large-Scale Image Dataset using Principal Component Analysis and K-means Clustering 
    Rayan, Rushrukh; Hossain, Md. Sabir; Asaduzzaman (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Digital images, being on the verge of its utmost popularity encompasses plenty of applications and as such are generated at an unprecedented rate. These digital form of data are often found with redundant information. ...
  • Demand Analysis of CSE Graduates of Different Universities in Job Markets 
    Chakraborty, Debjany; Hossain, Md. Sabir; Arefin, Mohammad Shamsul (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    CSE is one of the most encouraging fields with high growth opportunities in the job sectors. Every year we are getting a large number of CSE graduates from public and private universities of Bangladesh as well as the ...
  • Design an Empirical Framework for Sentiment Analysis from Bangla Text using Machine Learning 
    Tabassum, Nusrath; Khan, Muhammad Ibrahim (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Natural Language Processing (NLP) lends a helping hand for programming the computers to inspect a huge amount of data. Sentiment analysis is an application of NLP which deals with data to examine the sentiment or opinion ...
  • An Efficient Algorithm for Confidentiality, Integrity and Authentication Using Hybrid Cryptography and Steganography 
    Biswas, Chitra; Gupta, Udayan Das; Haque, Md. Mokammel (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Data/information is the most valuable asset for the modern electronic communication system. To secure data or information has become a challenge in this competitive world. There are many techniques for securing ...
  • Adapting SCRUM in Data Analytics Solution Development for Telecom Operators in Bangladesh 
    Hasan, Md. Al-; Hossain, Md. Sabir (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    As usage of internet varies time to time depending on the modes, minds of users, Telecom services need to understand the tastes or requirements of users and develop a dynamic data analytics solution to sustain in the ...
  • A Framework for Analyzing Real-Time Tweets to Detect Terrorist Activities 
    Abrar, Mohammad Fahim; Arefin, Mohammad Shamsul; Hossain, Md. Sabir (Faculty of Electrical and Computer Engineering, CUET, 2019-02-07)
    Terrorist organizations use different social media as a tool for spreading their views and influence general people to join their terrorist activities. Twitter is the most common and easy way to reach mass people within ...
  • Analyzing MRI Segmentation Based on Wavelet and BEMD using Fuzzy C-Means Clustering 
    Khaliluzzaman, Md.; Dolon, Lamia Iqbal; Deb, Kaushik (Department of Computer Science and Engineering, Faculty of Mathematical and Physical Sciences, Jahangirnagar University, 2016-12-12)
    Segmentation of images means a great matter for the medical field treatment purpose. For the extraction of brain polyps, magnetic resonance image (MRI) processing contributes in a wide range. Usually it works in two ways: ...
  • Network Intrusion Detection System Using Fuzzy Logic 
    Hoque, Mohammed Moshiul; Karim, Meher-Ul-; Mohit, Kazi Abdul; Ullah, Muhammad Ahsan (Bangladesh Electronics Society: Rajshahi, Bangladesh, 2008-06-27)
    Computer and network security plays an important role in modern communication. An efficient network is free from malicious activities. Today’s network administrators have to pay most of their efforts to make the network ...

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