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Browsing Artificial Intelligence by Issue Date

Browsing Artificial Intelligence by Issue Date

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  • UAV-Based Border Surveillance: Achieving Optimal Coverage in Aerial Plane using GLP-Hybrid Algorithm 
    Tariq, Mahnoor (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    Protecting borders from the illicit transfer of people, weapons, goods, and UAVs is essential for a country’s security, economic strength, and territorial integrity. Conventionally, most borders deploy human surveillance ...
  • A Hybrid Recommender System for E-Learning Platforms 
    Mehmood, Hafsa (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    E-learning has been a common option for students during epidemic scenarios. Modern research relies heavily on software systems because they help scientists solve challeng ing problems, analyse enormous volumes of data, ...
  • Efficient Feature Selection for Machine Learning Using Biologically Inspired Algorithms 
    Moosavi, Syed Kumayl Raza (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    Big data has become a ubiquitous feature of modern society, providing opportunities for extracting valuable insights from large datasets. However, the sheer volume, variety, and complexity of big data make it difficult to ...
  • Incentive-aware Crowdsourced Detection of Vehicles at Flee 
    Laghari, Mutahir Ali (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    Law enforcement agencies (LEAs) face the persistent challenge of rapidly detecting suspicious vehicles fleeing from CCTV surveillance streams. While current machine learning (ML) and deep learning (DL) models are valuable ...
  • Investigating Adversarial Attacks in Hypervisor-based Intrusion Detection Systems using an Intrusion Detection Bayesian Game 
    Sadia (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    In recent times, cloud computing has become significantly popular as it offers on-demand access to computing resources via internet. Despite its widespread use, security remains a significant concern due to cyber-attacks. ...
  • Coral classification in unconstrained underwater imagery 
    Ratnani, Lajvanti (School of Electrical Engineering and Computer Science, 2024)
    Classification of coral reefs in uncontrolled underwater images plays a crucial role in the examination of marine biodiversity and efforts for conservation. This study proposes a sophisticated methodology employing ...
  • Generating Pseudo Labels for Rice Crop Classification in Punjab Region: A Two-Stage Approach 
    Murtaza, Ramesha (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Remote sensing (RS) datasets have gained popularity due to their impact on addressing global issues such as food security and climate change. The crop type data availability is valuable for agronomy managers to address ...
  • Collaborative Task Performance via Real-Time Interaction with Intelligent Virtual Agents 
    Azam, Fiza (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Collaboration in a group can help and more efficient solutions to difficult issues. However, working together is not always simple and can become stressful if the team members do not get along. Frequent interactions with ...
  • Machine Listening to the Seas: A Deep Dive into Acoustic-Based Vessel Classification 
    Khan, Ahsan Ali (School of Electrical Engineering and Computer Science (SEECS), NUST, 2024)
    The acoustic classification of ships at sea is a crucial factor for the monitoring of maritime activities and safeguarding navigation safety in the maritime environment. To utilize the advanced AI-powered methodologies ...
  • Approximate Computing in Federated Learning Settings 
    Kamran (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Approximate Computing has emerged as a promising solution to address the increas ing computational demands of modern applications by allowing controlled inaccu racies. This thesis explores the integration of Approximate ...
  • Adversarial Attack on Visual Place Recognition and 3D Reconstruction 
    Hashir, Muhammad (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
    This in-depth research examines the weaknesses in a number of algorithms and systems used widely across computer vision when they are under adversarial attacks. The study highlights three main aspects: handcrafted feature ...
  • Automating Legal Text Summarization with Multi-Agent Systems and Human-Centered Evaluation 
    Ashraf, Mishal (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    This research introduces an automated multi-agent system aimed at enhancing the summa rization and evaluation of legal documents, specifically judgments. Legal professionals often struggle to condense complex legal texts ...
  • Incentive-Driven Federated Learning 
    Urooba, Syeda (School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)
    Federated Learning (FL) is a collaborative learning platform. It enables users to train machine learning models on their devices using their data. However, the final updated model they receive is trained on other datasets ...
  • GreenCrowd: A Generic Framework for Crowdsourcing Data to Detect Diseases in Grape Plants 
    Tariq, Muhammad Umer (School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)
    Acquiring comprehensive and varied datasets for training Machine Learning (ML) models poses a significant worldwide challenge, especially in areas that need intricate data, such as detecting plant diseases. This thesis ...

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