• Development of a Robust Intrusion Detection System Using Attention Mechanism for Imbalanced Network Traffic in IoT 

  Tariq, Bisma (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)

  The Internet of Things (IoT) is ever-changing, which is reshaping industries and societies. It involves connecting devices and data to enable automation and consolidation of processes. This technological shift brings ...
• Machine Learning Solutions for Precision Fruit Growth Classification and Yield Projections 

  Batool, Kiran (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  The agriculture function is critical in agrarian economies, and as population increases across the world, there is need for more innovation, efficient and accurate methods of producing foods. They subsequently reviewed ...
• Deep Learning-Based OCT Image Analysis for Eye Disease Prediction and Classification 

  Ajmal, Muhammad Muzyyab (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)

  The burden of ocular diseases is a significant public health concern globally, with millions of people affected by conditions that can lead to visual impairment and blindness. In Pakistan, the prevalence of ocular diseases ...
• Automatic Classification of Marine Vessels using Acoustic Data 

  Qasim, Hina (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)

  Automatic classification of marine vessels has gained significant interest due to its growing non-military uses such as management of maritime traffic, controlled fishing, and marine environment protection. An AI-powered, ...
• Harmonizing Health Data: A Machine Learning-Based Detection of Tuberculosis (TB) Co-Infection in HIV Patient’s Data in Pakistan 

  Babar, Muhammad (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  Tuberculosis (TB) as a co-infection in People Living with HIV (PLHIV) is a serious public health concern, especially in underdeveloped nations like Pakistan. Robust data harmonization and sophisticated machine learning ...
• Improving Performance of Intrusion Detection Systems using Machine Learning Techniques 

  Zahid, Amna (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)

  The rapid upsurge in network intrusions has driven research into AI techniques for intrusion detection systems (IDS). A major challenge is ensuring AI models are understandable to security analysts, leading to the adoption ...
• Leukemia Cancer Classification using Micro GeneArray Dataset 

  Fatima, Syyeda Shifa (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)

  Leukemia, a heterogeneous group of hematologic malignancies, poses significant challenges in diagnosis and treatment due to its diverse genetic and molecular characteristics. This thesis explores the application of deep ...
• Automated detection of Glaucoma Using SegNet and Ensemble Learning 

  Naeem, Ayesha (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  Glaucoma is a neurodegenerative eye disease which occurs due to the elevated IOP (Interocular Pressure) that builds in the eye. The aqueous humour fluid in the cham ber of eye presses the visual nerve due to which the ...
• Detection of Panic Attacks Using Machine Learning Models 

  Ghafoor, Muhammad Rehan (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)

  Panic attack is psychological condition, is primarily caused by experiencing sudden mental or physical symptoms such as sweating, sudden jump in heart rate. However, the few similar symptoms also happen during Heart ...
• Comparing the Effects of Individual and Team Participation in Gamified Lessons on Assessment Performance 

  Ansari, Fahad (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  Gamification has been used by teachers as a tool to review basic concepts learnt by students in traditional as well as in flipped classrooms. This technology offers students the ability to participate either individually ...
• Cattle Farming Activity Monitoring Using Advance Deep learning Approach 

  Asim, Muhammad (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)

  Deep learning algorithms, particularly Convolutional Neural Networks (CNNs), have become the state-of-the-art techniques for object detection, classification, segmentation, and behavior classification. Despite their ...
• Deep Packet Investigation using P4 

  Hayat, Azhar (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  Deep Packet Inspection (DPI) has transformed network security and analysis by allowing for in-depth content study of data packets as they traverse network infrastructures. DPI goes beyond security to help with network ...
• SECURITY TESTING OF ACTIVE DIRECTORY 

  Javed, Muhammad Zaeem (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  Identity and Access Management (IAM) is essential for organizations in this era of connectivity. Microsoft Active Directory (AD) is one of the most commonly used IAM service providers. It has various applications, such ...
• Intrusion Detection System using Machine Learning Models for IoT Novel Dataset 

  Zafar, Bilal (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

  In the technology park, the IoT has brought revolution and changed human lifestyle in a better way. The interconnected miniature devices over the internet consume energy resources and transmit data back and forth. However, ...
• Coverage Enhancement Using Heterogeneous Links for Smart Oceans 

  Mustafa, Waqas (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)

  This study explores how cognitive radios can be used to leverage heterogeneous networks and enhance communication coverage in the maritime industry. Because of things like poor infrastructure, distance from shore stations, ...
• Dual-Stage Erbium-Doped Fiber Amplifiers in Free-Space Optical Communications 

  Sultan, Affera (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2024)

  In order to streamline the complex processes involved in converting electrical to optical and optical to electrical in FSO systems, this work presents the application of DS EDFA, which uses erbium-doped fiber amplifiers ...
• Incentive Aware Task Offloading in the Internet-of-Things 

  Sheikh, Zainab (2024)

  The evolution of the Internet of Things (IoT) has surged connectivity among IoT devices, amplifying data processing. Efficient resource utilization necessitates task offloading among these devices. Yet, selecting the ...
• Incentive-Aware Data Dissemination in the Vehicular Ad-hoc Networks 

  Kousar, Aruba (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)

  Intelligent vehicles are advanced to that point that they can sense, gather, communicate and exchange information for vast areas due to their abundant resources and large movement patterns. Vehicles can act as relay nodes ...
• UAVs and VANETs Assisted Task Offloading in the Internet-of-Things 

  Amjad, Ali (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2024)

  The vision of smart cities seeks to revolutionize urban management and improve the quality of life for residents. Within this model, UAVs (Unmanned Aerial Vehicles) play a vital role, using their onboard sensors to collect ...
• Orchestrating key features of Open-Source Network operating system using Ansible 

  Iqbal, Muhammad Hamza (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)

  Due to the emerging trends on scalability, flexibility and automation in data centers, some of the most recent technologies include Vxlan L2EVPN. The focus of this investigation is on the deployment of a Vxlan-based data ...

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