Department of Computer Science: Recent submissions

  • Magnification Independent Approach to Diagnose the Breast Cancer from Histopathological Images 
    TARIQ, SHEHROZ (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Breast cancer is one of the top cancers that cause death globally. Hematoxylin and Eosin-stained images diagnose biopsy tissue, and experts are usually upset with the closing opinion. Computer-assisted diagnosis techniques ...
  • Machine Learning Approach Towards Motion Planning for Manipulation 
    Zahoor Sajid, Imran (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Motion planning is an essential part of robotics. This is important for robots to perform navigational and manipulative tasks. This aims at finding a path from a start position to a goal position while avoiding collisions ...
  • A Robust Multi-class Skin Cancer Classification using an Attention-based CNN Model 
    Younas, Sara (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Among lesions having high mortality rate, skin lesion is at top of the list. The patient‟s life could be rescued through early diagnosis. The manual identification period could be prolonged, as different categories of ...
  • Hashtag Recommendation for Micro Videos Using 3D Convolutional Neural Network 
    Ahmed, Bilal (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    In recent years, due to common usage of camera equipment like mobile phones and variations of various short videos platform, a lot of videos published each second are either creative or non-creative. Compared to short ...
  • Identifying Multilingual Textual Cyberbullying on Social Networking Using a Novel Machine Learning Approach 
    Fatima, Manahil (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Technological advances have made the internet accessible to the vast majority of people. In the current era, the usage of social networking sites or media and discussion forums as a form of communication has increased ...
  • Automated White Matter Hyper Intensities Segmentation in MR Images 
    ALI, YAQEEN (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    White matter hyperintensities (WMHs) are high-intensity pixels in MRI, especially in FLAIR images. The presence of white matter hyperintensitiesn brain MRI is associated with cerebral small vessel diseases (CSVD), ...
  • Vehicle Detection for Traffic Monitoring from Urban Video Surveillance Cameras using Deep Learning 
    Rafiq, Ather (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    In recent years, vehicle detection for traffic monitoring from urban video surveillance cameras has become a hot research topic among researchers because of an increase in anomalous or unusual vehicle activities from ...
  • Neural Abstractive Text Summarization for Urdu Language 
    Sanaullah, Adnan (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Text summarization achieved a lot of popularity in natural language processing because of the large amount of literature available on internet, especially for English language. Nowadays, most used technique is abstractive ...
  • Deep Neural Network Based Model for Context-Aware Human Activity Recognition 
    Inayat, Amiq (2024-10-28)
    currently, with the growth of smart sensing technologies in ubiquitous computing. Human activity recognition (HAR) is becoming a fundamental research problem. HAR aims to recognize the person’s body position, motion, and ...
  • An Improved Technique for Software Requirement Prioritization using Functional Requirements 
    Jamil, Zunaira (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Earlier recognition, categorization, and prioritization of elicited requirements in the software development is essential for the project's success because it allows problems to be identified and classified in early stages. ...
  • A Deep Learning Based Prediction of Stock Market Trend using Social Media 
    Javed, Aroma (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Machine learning and deep learning are becoming more and more effective techniques for evaluating financial data, encompassing textual, statistical, and digital information. Future stock prediction is a prominent and ...
  • A Study of Crime Analysis and Prediction using Data Mining Techniques 
    Huzaifa Ansar, Syed (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Crime is considered an offense in the social or moral values of a society, due to the constant increase in crimes the safety and security of people in the world are at high risk, because of the severity of this problem, ...
  • Identification of Best Sowing Patterns of Crop using Satellite Imagery and Deep Learning 
    Shahzadi, Zil E Huma (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    Rapid growths in population and climate change are resulting in food insecurity. Food security is more challenged in developing countries like Pakistan where conventional practices of crop monitoring are in place. The ...
  • Analysis and Evaluation of Risk Prediction using Software Requirements 
    Shaukat, Shanzeh (2024-11-28)
    Software requirements play a pivotal role in the planning of a software project and they are a key input to project size and effort estimation processes. The increasing dependence of all aspects of life on software ...
  • Evaluating Classification of Software Requirements using Machine Learning and Natural Learning Processing Approaches 
    Tasleem, Kinza (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-11-28)
    The software development process consists of a series of phases e.g., requirement engineering, design, coding, and testing, and each phase is critical for fulfilling the needs of a software user. Requirement engineering ...
  • Aspect Based Sentiment Analysis for Urdu Language Using Rule-Based Approach 
    HASHMI, EHTESHAM (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-11-28)
    Aspect Based Sentiment Analysis (ABSA) also known as entity level analysis has gained the vital importance to extract the people’s sentiment, emotions or opinions towards some entity. This entity can be any organization, ...
  • A Comparative Analysis of Offensive Language Detection in Roman Urdu 
    Khan, Muneeb Rehman (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-10-28)
    The rise of social media has encouraged experts to conduct several studies based on user- generated data. The widespread use of online platforms like Facebook, Twitter and other web forums has created challenges to keep ...
  • Battle of Surviva 
    Shoukat, Muhammad Muaz; Samad, Abdul (2024-10-28)
    The basic genre of the game is Adventure and survival. The main character is Jack entered the building and got stuck there. There is no way out. Now he must survive in the building and find his way out. To survive and ...
  • Stream Matrix 
    Zafar, Muhammad Zubair (2024-10-28)
    This project revolves around a comprehensive entertainment platform boasting an extensive library of films, TV shows, and live streams. Users can enjoy a diverse range of content, including movies, dramas, sports, and ...
  • DOCLIN 
    TAHA, MUHAMMAD; LATEEF, MUHAMMAD HASSAAN; MUJTABA, AHMAD (2024-10-28)
    The Doclin is a mental health-focused Website designed to provide users with a convenient and accessible platform to seek help and support for depression. The website includes features such as appointment booking with ...

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