Undergraduate: Recent submissions

  • Efficient Two-Stream Network for Violence Detection using Separable Convolutional LSTM 
    Islam, Md. Zahidul; Rukonuzzaman, Mohammad; Ahmed, Raiyan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    Automatic detection of violence from surveillance footage holds special significance among the various subsets of general activity recognition tasks due to its broad applicability in autonomous security monitoring systems, ...
  • Bangla Sign Language Dataset Generation using Depth Information 
    Rayeed, S. M.; Akram, Gazi Wasif; Zilani, Golam Sadman (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    Sign Language Recognition (SLR) targets on interpreting the sign language into text or speech, so as to facilitate the communication between deaf-mute people and ordinary people. This task has broad social impact, but ...
  • Autism Detection using Visual and Behavioral Data 
    Sadaf, Nafisa; Shaer, Karishma; Momin, Farhan M Nafis (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    Diagnosing Autism Spectrum Disorder (ASD) can be difficult as there is no existing medical test for detecting Autism. The only clinical method for diagnosing ASD are standardized tests which require prolonged diagnostic ...
  • Attack Step Prediction of Targeted Attacks using Deep Learning 
    Chowdhury, Imtiaj Ahmed; Karim, A. H. M. Rezaul; Sakib, Fardin Ahsan (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    Defending against targeted attacks is becoming increasingly difficult as attackers are constantly evolving with more complex and intricate strategies. As more entities are falling victim to targeted attacks and the cost ...
  • Assessment of Human Actions from Videos Using Deep Residual Neural Networks 
    Farabi, MD Shafkat Rahman; Himel, S.M. Hadibul Haque; Gazzali, Md. Fakhruddin (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    "Action quality assessment (AQA) aims at automatically judging human action based on a video of the said action and assigning a performance score to it. Judging the quality of human actions from videos holds huge promise ...
  • Ambulatory Human Posture Detection using MARG Sensor Arrays and Madgwick Filter 
    Abedin, Mohammad Ishrak; Ashraf, Saad Bin; Ahmed, Rizvi (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    This report proposes a novel and low cost method of calculating and collecting real time human posture and orientation data with the help of MARG (Magnetic, Angular Rate and Gravity) sensors, micro controllers, Madgwick ...
  • Age Estimation from Facial Images Using Transfer Learning and k-fold Cross-Validation 
    Prottoy, Mahruf Islam; Uddin, S. M. Shihab; Morshed, Md. Samin (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-10-30)
    The increasing use of video-based security systems and robotics has increased research on the image analysis of human faces. Thus, face recognition, face detection, gender classification, and facial expression recognition ...
  • A Simplistic & Fast approach to Bangla Handwritten Digit Recognition using Convolutional Neural Network 
    Emon, Eksan Ahmed; Adil, Ifta Khairul; Ahbab, Abir (Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh, 2021-03-30)
    Handwritten digit recognition has consistently a major test because of its variety of shape, size, and composing style.Accurate Handwritten Digit Recognition is becoming challenging and thoughtful to researchers due to ...
  • A Correlation-based Feature Extraction method and intrusion detection framework for ML-based Intrusion Detection System (IDS) 
    Mazumder, Md. Mumtahin Habib Ullah (Department of Computer Science and Engineering(CSE), 2021-03-30)
    The number of cyber-attacks has increased in recent years in both the number and varieties which demands a dynamic way of detection. Network Intrusion Detection System (IDS) leverages the key feature of Machine Learning ...
  • Semantic Segmentation of Glomeruli in Human Kidney Tissue Images 
    Ishrak, Sheikh Sakib; Khan, Md. Sakif; Imam, Ahmad (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    For reliable disease diagnosis in renal pathology, accurate glomerular microscopic medical image segmentation is important. In this study, we work on a pixel-level labeled glomerular microscopic medical image segmentation ...
  • Chronic Diseases Prediction on COVID-19 Patients Using Machine Learning Techniques 
    Aurko, Abeed Hanif; Abid, S. M. Fahim; Mannan, Dewan Tarikul (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    COVID - 19 pandemic has spread to more than 210 countries. Millions of people lost their lives due to COVID - 19. COVID-19 death rate is almost 2.2%. So, the majority of people are recovering from the disease. But recently ...
  • Electronic Health Record Sharing and Access Controlling Blockchain Architecture using Data De-identi cation Method 
    Muid, Munshi Rejwan Ala; Jubaida, Afrin; Hamid, Hamim (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    The process of digitizing the health records of patients revolutionized the healthcare system as we know it today. Electronic Health Record (EHR)s, the digital records of patients, demand highest security among all data ...
  • A Reliable System To Detect Security Attacks In A Scalable SDN Architecture. 
    Ovi, Md. Sultanul Islam; Mahmud, Nafil; Oishee, Abida Taskin (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    Software-Defined Network (SDN) is a promising solution of network virtualization. But it is vulnerable to attacks by corrupted switches as existing detection mechanisms do not work in this environment. A corrupted switch ...
  • School Result Management System (SRMS) 
    Panhwer, Dawood; Momand, Rafiullah (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    The main objective of the project is to provide the examination result to the student in a simple way. This project is useful for students and institutions for getting the results in simple manner. By a result analyzer ...
  • Glioblastoma detection using vgg16, inceptionnet, alexnet, resnet, and their comparative analysis 
    Naser, Homayed; Tuba, Sidratul Tamzida; Sanvir, Md. Shihan (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    In this study we propose a deep learning based model for the detection of glioblastoma(an aggressive type of cancer that can occur in the brain or spinal cord) based on their origin in brain . The deep learnig based model ...
  • Online shopping 
    barry, Muhammed; Hamadou, Abdoul Latif (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-02)
    The business to consumer aspect of electronic commerce (e-commerce) is the most visible business use of the World Wide Web. The primary goal of an e-commerce site is to sell goods and services online. This project deals ...
  • Fake News Detector 
    Rafe, Md. Lutfor Rahman; Nahreen, Mashiat; Abir, Rabiul Alam (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    With the recent social media boom, the spread of fake news has become a great concern for everybody. It has been used to manipulate public opinions, influence the election - most notably the US Presidential Election of ...
  • Cancer Classification with Deep Learning using Genomics Data 
    Ahsan, Ahmad Omar; Ansar, Md. Azmaeen Bin; Minhaj, Minhajul Islam (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    Deep learning has been monumental in Computer Vision, Natural Language Processing, Machine Translation task and so on. In bioinformatics, Deep learning is playing an important role in drug discover and protein structure ...
  • Smart cane for visually impaired based on IOT 
    Kayse, Abdirahman; Hassan, Abdi Fateh; Abdulle, Kaal Harir (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-11-15)
    There are numerous issues over which people have no control visual deficiency is one of such issues. It grabs the striking visual magnificence of the world from a person's life. Be that as it may, missing the excellence ...
  • Image to Image Translation With Multi- Scale Generator 
    Morshed, Mashrur Mahmud; Iqbal, Hasan Tanvir; Rishad, Mazharul Islam (Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh, 2021-03-30)
    Image to image translation is a highly generalized learning task, that canbe applied to a wide number of Computer Vision application domains. Condi-tional Generative Adversarial Networks (cGANs) ...

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