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MS (CS) (BUIC-E-8): Recent submissions

  • Muhammad Hashim, 01-243222-006 (Computer Sciences, 2025)
    Machine Learning (ML) and Deep Learning (DL), more advanced techniques, are being studied in this particular paper as a method for early recognition and classification of leaf diseases on rice plants only for four common ...
  • Umer Ikhlas Sheikh, 01-243222-012 (Computer Sciences, 2025)
    Employee attrition is a significant problem that impacts organizational stability, productivity, and financial performance. High employee turnover generates various far-reaching costs, such as recruitment expenses, training ...
  • Muhammad Idrees, 01-243222-007 (Computer Sciences, 2025)
    With the rapid evolution of mobile communication from 1G to 6G, efficient resource management has become essential to meet increasing demands of the networks. Traditional static allocation methods struggle to handle dynamic ...
  • Hafiz Muhammad Ahmad, 01-243222-003 (Computer Sciences, 2025)
    Concrete bridges require timely and accurate defect detection in order to maintain their structural safety, time-consuming, expensive processes often suffer from human errors. Meta-learning is applied to enhance convolutional ...
  • Ali Arshad, 01-243231-002 (Computer Sciences, 2025)
    In light of the fast-evolving scenario of the IoT, network security constantly bears immense challenges due to the increasing number of cyber threats and vulnerabilities. Traditional intrusion detection systems use predefined ...
  • Aqsa Amin, 01-243221-002 (Computer Sciences, 2024)
    The study of understanding emotions and sentiments present in textual data is the focus of the developing area of emotion and sentiment analysis. The inability of modern technology to precisely recognize and comprehend ...
  • Zarqa Abid, 01-243222-013 (Computer Sciences, 2024)
    Chronic disease is one of the most common causes of death worldwide. Lack of awareness and inability to access medical help lead to complications in such patients. In IoMT (Internet of Medical Things), different sensors ...
  • Asfand Yar, 01-243212-003 (Computer Sciences, 2024)
    This research work is based on the detection of phishing attacks and the analysis of different classifiers. We have proposed a framework that describes different aspects of website content and architecture, such as the ...
  • Muhammad Mutahhar Abbas, 01-243212-013 (Computer Sciences, 2024)
    The rapid evolution of malware and its increasing complexity necessitate innovative detection and classification methods to ensure robust cybersecurity. Traditional methods, which largely rely on signature-based and heuristic ...
  • Sumbal Bano, 01-243221-013 (Computer Sciences, 2024)
    Sentiment analysis and mental health identification are critical areas in natural language processing (NLP) with significant implications for understanding human emotions and psychological states through text. Sentiment ...
  • Ume-I-Habiba, 01-243222-011 (Computer Sciences, 2024)
    Facial Acne is a prevalent skin condition, can have significant economic and psychological effects on those affected, making accurate grading essential for effective treatment. In this study, we introduced a new grading ...
  • Anees Ur Rehman, 01-243212-001 (Computer Sciences, 2023)
    In today’s digital age, where we are surrounded by nonstop video content, our study takes the forefront in the field of video summary, with a special focus on generating cricket highlights. Video summary is highly significant ...
  • Anita Ishaq, 01-243212-002. (Computer Sciences, 2023)
    The technique is intended to overcome the difficulty of recognising Arabic-like scripts, particularly Urdu, which is a challenging and understudied script for offline handwriting recognition. The encoder-decoder approach ...
  • Shehnaz Bibi, 01-243211-011 (Computer Sciences, 2023)
    A wireless sensor network (WSN) consists of small sensor nodes, a base station, and a data center. Its goal is to collect and monitor a variety of environmental or system parameters such as humidity, temperature, air ...
  • Muhammad Taha Yousaf, 01-243212-014 (Computer Sciences, 2023)
    Online social networks (OSNs) like Facebook and Twitter have become increasingly popular, offering a wide range of virtual interaction techniques and real-world social connections. The users of social media increasing ...
  • Mehreen Tariq, 01-243212-019 (Computer Sciences, 2023)
    The classification of land cover and crop types through the analysis of satellite imagery is a fundamental task with wide-ranging implications in the fields of agriculture, environmental monitoring, and urban planning. ...
  • Shafiq Ur Rehman, 01-240031-019; Kashif Ur Rehman, 01-242041-002 (Computer Sciences, 2007)
    This project is concerned with the billing system of the Z-tell (A telecom payphone company working nation wide). It is a stand-alone database project that relate to the Billing system of the company. This project is to ...
  • M Saqib Riaz, 01-243211-012 (Computer Sciences, 2023)
    Cybersecurity threats have become a major concern for organizations in recent years. With the rapid advancement of technology, cybercriminals have also become more sophisticated in their tactics, techniques, and procedures ...
  • Mudassar Riaz, 01-243202-029 (Computer Sciences, 2023)
    Wireless Sensor Network (WSN) is a cutting-edge strategy and technology where sensor nodes gather information about the physical environment and the areas through single-hop or multi-hop data communication to the Sink Node ...
  • Tuba Khalid Kayani, 01-243202-023 (Computer Sciences, 2023)
    The use of plastic surgery for improving facial appearance is increasing rapidly, it involves altering a person's appearance through various techniques. It can also help those who have suffered physical injuries or have ...

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