• A Hybrid Model for Sentiment and Emotion Analysis Using GRU-Based RNN And SVM 

  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 ...
• An Efficient IOMT Based Disease Prediction Model 

  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 ...
• Ordinance Categorization of Cybercrime in Pakistan, Analysis and Detection of Phishing Attacks 

  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 ...
• Image Based PE File Detection and Classification 

  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 ...
• Sentiment-Based Hybrid Approach for Mental Health Identification from Social Media Posts 

  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 ...
• AI-Driven Acne Diagnosis and Dermatologist Referral 

  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 ...
• Video Summarization for Cricket Highlight Generation 

  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 ...
• Unconstrained Urdu Handwriting Recognition Using Transformers 

  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 ...
• Nature Inspired Data Dissimination Routing Protocol for Wireless Sensor Networks 

  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 ...
• Detection of Sybil Attacks in Online Social Networks 

  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 ...
• Land Cover and Crop Classification in Satellite Images 

  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. ...
• Z-Tel Communication Billing Project 

  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 ...
• Framework for Extraction of Tactical Threat Intelligence from Cyber Threat Reports 

  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 ...
• Energy Efficient Routing by Using Nature Inspired Methods for Internet of Everything (IoE) Network 

  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 ...
• Recognition of Surgically Altered Face Image 

  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 ...
• An Energy Efficient Clustering and Optimization Method for Data Aggregation in Wireless Sensor Networks 

  Muhammad Tayyab Rafaqat, 01-243202-016 (Computer Sciences, 2023)

  A Wireless Sensor Network (WSN) is a smart network made up of tiny sensor nodes, a Base Station (BS), and a data center designed to collect system or environmental conditions such as humidity, temperature, air quality, and ...
• Quic Based Mobile Oriented Future Internet (Q-MOFI) 

  Muhammad Tauqeer, 01-243211-005 (Computer Sciences, 2023)

  With the proliferation of mobile devices and various mobile services, ensuring smooth mobility for users has become a major challenge. The future internet is expected to be more mobile-friendly, with advancing technologies ...
• Post-Mortem IRIS Recognition 

  Muhammad Tajmal, 01-243202-015 (Computer Sciences, 2022)

  Iris recognition is a non-inversive technique to identify humans. Personal identification is used in various objectives for individual identification like border control, school, military, communication, eCommerce, etc. ...
• Bot Detection on Online Social Network 

  Muhammad Ibrar, 01-247202-011 (Computer Sciences, 2023)

  Social network has emerged as an important medium of communication in recent years. People join different social networks and believe the information present on it. However, these social networks face problem of bots in ...
• Differential Linear Cryptanalysis Trails for Block Ciphers using DLCT 

  Sohaib Rana, 01-247201-016 (Computer Sciences, 2023)

  The size of devices has decreased as a result of rapidly developing smart technology, but neither processing power nor memory have been impacted. On these limited resource devices, it is required to adopt lightweight ...

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