• Classification of Synthetic Acoustic Data 

  Mudassir Ahmed Khan, 01-249222-015 (Computer Sciences, 2024)

  Speech synthesizers may produce extremely accurate sounds that mimics a person’s voice. This capability can be exploited to make false audio recordings, making it impossible to tell between real and fake communications. ...
• Amend the Complementary and Integrative Health Approaches for Untangling Prevalent Health Issues 

  Muhammad Anees, 01-249222-016 (Computer Sciences, 2024)

  The purpose of this paper is to develop a clear understanding of how to apply machine learning for the analysis of clinical data that can advance CIH, besides formal medicines. CIH methods are evolving into more common ...
• Synerdl: Advancing Drug Combination Synergy Prediction with Deep Learning 

  Bibi Amna, 01-249222-004 (Computer Sciences, 2024)

  Predicting drug combinations is crucial for effective cancer treatment. Combining multiple drugs can reduce resistance and improve outcomes. However, identifying these combinations experimentally is costly and time-consuming. ...
• Stance Detection and Analysis on Social Media Political Debates 

  Zain Ul Abidin, 01-249222-022 (Computer Sciences, 2024)

  The recent years have seen the implementation and analysis of classification models in political discussions on social media platforms, particularly focusing on traditional machine learning and state-of-the-art transformer-based ...
• Empowering Healthcare Communication: Exploring NLP-Enhanced Chatbots for Patient Engagement and Information Delivery 

  Syed Waqar Ali, 01-249222-021 (Computer Sciences, 2024)

  The significance of healthcare technology cannot be overemphasized since with the timely availability of correct medical information, better patient care and outcomes can be achieved. Because more healthcare-related queries ...
• Stable Diffusion in Motion: Enhancing Text-To-Image/Video Animation 

  Shahid Iqbal, 01-249222-018 (Computer Sciences, 2024)

  This research focuses on advancing Text-to-Video generation by leveraging insights from Text-to-Image models. We initiated the project with an extensive literature review, analyzing key methods and models in T2I and T2V ...
• Climate-Resilient Farming: Advancing Short-Term Weather Predictions for Sustainable Agriculture 

  Iffa Shah, 01-249222-009 (Computer Sciences, 2024)

  The agricultural sector of Pakistan is vital but at the same time under threat of significant challenges due to imminent water scarcity and a dire need for sound water management practices. The accuracy of the reference ...
• Suggestive Strategies for Mitigating Adverse Effects in Drug-Drug Interactions 

  Madeeha Asif, 01-249222-011 (Computer Sciences, 2024)

  The purpose of this study is to investigate the Drug-Drug Interactions (DDIs) remains a thorny issue in clinical practice since it drastically affects efficacy of treatments and triggers adverse effects. As disease states ...
• Sia GAN Clip - Robust Model to Generate Photo-Realistic Images using Unsupervised Learning 

  Mohammad Arsalan Shakil, 01-249222-014 (Computer Sciences, 2024)

  The thesis introduces SiaGANClip, an innovative method for creating photorealistic images through unsupervised learning. The model combines a Generative Adversarial Network (GAN) with an additional discriminator based on ...
• 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 ...
• UDOC QA-Urdu Document-Based Question Answering 

  Misbah Zafar, 01-249212-006 (Computer Sciences, 2023)

  In today’s data-driven world, Document AI and Machine Reading Comprehension (MRC) have emerged as pivotal technologies with profound implications. This abstract explores their significant impact and the compelling reasons ...
• Logistic Route Optimizationusing Quantum Annealing Approach 

  M. Abu Bakar Khan, 01-249212-007 (Computer Sciences, 2023)

  Route optimizationisakeyissueinseveralfields,includingtransportation,lo- gistics, andsupplychainmanagement.Routeoptimizationisdeterminingthemost effectivesetofroutestomeetcertaincriteriasuchasdistance,time,andcost.The ...
• Advance Search Engine for Legal Texted Ordinances 

  Talha, 01-249212-015 (Computer Sciences, 2023)

  In the framework of legal information retrieval and knowledge representation, this thesis addresses the subject of how to improve the efficiency and accuracy of accessing legal clauses in Pakistan’s Trademark Ordinance ...

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