• Convection Analysis in Closed Cavity Via Fem Approach 

  Syed Saqib Shah, 01-283181-003 (Computer Sciences, 2023)

  Thermal management in closed cavity is one of the most important analysis in recent decade. Such type of heat analysis in the presence of molecular movement is convection. The simulation of Heat and mass transfer through ...
• Localization of Vertebrae and Deformity Analysis using Digital Spinal Cord Images 

  Joddat Fatima, 01-284152-001 (Computer Sciences, 2023)

  The spinal cord is an fundamental structure that creates a connection between the brain and the rest of the body. The long thin cord is made up of twisted nerves and tissues in combination with the 33 separate bones stacked ...
• Design of Deep Learning and Shape-Based Models for Tuberculosis Detection Using Diagnostic Radiology 

  Zainab Yousuf Zaidi, 01-284152-002 (Computer Sciences, 2023)

  Pulmonary diseases including Tuberculosis (TB) can be fatal and millions of people get infected by them each year. The timely and accurate detection of pulmonary diseases can save millions of lives around the globe. Chest ...
• A Lightweight and Secure Authentication Scheme for Smart Health Scenario 

  Zohaib Ali, 01-247212-018 (Computer Sciences, 2023)

  The emergence of smart health technologies has brought numerous benefits in healthcare services such as remote patient monitoring, personalized treatment, and early disease detection. However, these technologies also pose ...
• A Framework for Enabling Static Detection and Classification of PE Malware 

  Zain Nawaz, 01-247212-017 (Computer Sciences, 2023)

  Over the preceding years, the proliferation of malware on PC platforms, particularly on Windows OS, has become notably more severe. To counter the propagation of numerous malware variations, the implementation of ML ...
• A Modified Back off Mechanism for Uplink Orthogonal Frequency Division Multiple Access Random Access 802.11ax 

  Muhammad Ishaque Khan, 01-247212-019 (Computer Sciences, 2023)

  Uplink Orthogonal Frequency Division Multiple Access (OFDMA) Random Access (UORA) is prime trademark of IEEE 802.11ax protocol and meritoriously used in Wireless Local Area Network (WLANs). UORA working is based on two ...
• Android Malware and Variant Detection Framework Leveraging Similarity Hashes 

  Alina Khalid, 01-247212-002 (Computer Sciences, 2023)

  In the growing world of technology, the frequency and magnitude of cyber attacks is increasing day by day. Most popular OS are most prone to these attacks. Android OS is sharing a major share in OS market therefore facing ...
• 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. ...
• Optimized Energy Consumption Model for Multi-Source Small Structures 

  Haider Hassan Pasha, 01-249212-002 (Computer Sciences, 2023)

  The main purpose of this thesis is to find methods for optimizing energy sources so that the cost of electricity is minimum. There are many methods and algorithms for solving optimization problem, but the method used in ...
• Spatial Isolation and Quarantine Strategy Optimization Using Quantum Annealing 

  Usama Bin Tariq, 01-249212-016 (Computer Sciences, 2023)

  In response to numerous important circumstances, such as disease outbreaks and catastrophe management, the efficient deployment of resources for spatial isolation and quarantine measures are critical.The goal is to ...
• A Light-Weight Approach for Crop Disease Identification 

  Salman Ahmad Khan, 01-249212-013 (Computer Sciences, 2023)

  Plant diseases pose a serious danger to crop production globally, leading to huge economic losses. According to forecasting, the world’s population will reach 9 billion by 2050, demanding seventy percent increase in food ...
• Negative Emotions Recognition Using fNIRS Based Classification 

  Muneeb Ahmed, 01-249212-010 (Computer Sciences, 2023)

  The emotional wellness of a person includes one’s thoughts, emotions, and ability to deal with life’s challenges. A sign of emotional wellness is having the ability to talk with someone about your emotional concerns and ...
• Disease Trajectory Mining Using Network Analysis 

  Hira Riaz Haider, 01-249212-003 (Computer Sciences, 2023)

  Pakistan is struggling to provide good and on time healthcare facilities to its people.Situation become worse when the number of patients exceeds the capacity of available hospitals and healthcare facilities. With the help ...
• Text Based Personality Recognition Based on User’s Content 

  Mujahid Ahmad, 01-249212-009 (Computer Sciences, 2023)

  The potential applications of personality prediction from textual data in psychology, marketing, and human-computer interaction have sparked considerable attention in recent years. While previous research has provided ...
• User Polarization Based on Social Media Activities 

  Muneeb Ahmad Mashwani, 01-249211-010 (Computer Sciences, 2023)

  The purpose of this study is to investigate the political polarization factor using Twitter data. It comprehensively explores an extensive dataset encompassing a trove of over 180,000 recent Twitter tweets, spanning the ...
• Text Summarization for Roman Urdu 

  Laraib Kaleem, 01-249212-005 (Computer Sciences, 2023)

  Recent research has shown that multilingual languages are used in roman form over generations. Due to this complex challenge, we are working on a Roman Urdu (RU) in terms of Abstractive Text Summarization (ATS). Roman Urdu ...

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