MS: Recent submissions

  • Landmine Detection Using Electromagnetic Spectral Signatures 
    Ahmed, Ali (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2021)
    The aim of this thesis was to test and report the applicability of ESS or electromagnetic spectral signature based imaging techniques to detect and identify landmines in both surface deployment and buried deployment. ...
  • Person Re-identification Using Human Gait Signature 
    Tajammal, Tehreem (SEECS, National University of Sciences & Technology Islamabad, 2022)
    An automated surveillance environment is constituted using personal re-identification as an integral part. Usually, this process is carried out using vision sensors by checking for the physical appearance of the person ...
  • Pose Calibrated Feature Aggregation for Robust Video Face Recognition in Unconstrained Environments 
    Hasani, M Ibrahim Ali (SEECS, National University of Sciences & Technology Islamabad, 2022)
    This paper presents PCFAN, a network architecture for set/video face recognition. Using stacked attention blocks and a multi-model architecture, it automatically assigns adaptive weights to every instance in the set, ...
  • Attention based Zero Shot Learning 
    Khan, Ahmed (SEECS, National University of Sciences & Technology Islamabad, 2022)
    The purpose of zero-shot learning (ZSL) is to build a classification model which beneficial for no labeled samples of classes. The goal of ZSL is to recognize unseen objects in the training. For this purpose, seen and ...
  • A Forensic Framework for Webmail Threat Monitoring and Log Analysis 
    Malik, Abdul Saboor (SEECS, National University of Sciences & Technology Islamabad, 2022)
    Today, webmail is being deployed in many organizations for all kinds of normal and important communications. Several cyber threats involving phishing, malicious insider, and ransomware attacks are primarily targeted through ...
  • Transfer Learning Autoencoder Neural Networks For Anomaly Detection In Malware Infected IoT Devices 
    Shafiq, Unsub (SEECS, National University of Sciences & Technology Islamabad, 2022)
    Distributed Denial of Service (DDoS) attacks have persisted against defensive measures with their sheer capability of obscurity and the simplicity of the attack vectors that they exploit, i.e exhausting the victim’s ...
  • HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images 
    Wazir, Saad (SEECS, National University of Sciences & Technology Islamabad, 2022)
    Medial image segmentation assists in computer-aided diagnosis, surgeries, and treatment. Digitize tissue slide images are used to analyze and segment glands, nuclei, and other biomarkers which are further used in computer ...
  • Parameter based Threat Detection in Network Datasets using Machine Learning algorithms 
    Luqman, Muhammad (SEECS, National University of Sciences & Technology Islamabad, 2022)
    Intrusions are consistent torment that networks have to encounter. To get rid of these malicious attacks a variety of approaches have been developed, the use of machine learning and deep learning is considered the most ...
  • Automated Anonymization of Court Room Records 
    Daud, Marium (SEECS, National University of Sciences & Technology Islamabad, 2021)
    Thousands of cases are registered every year in the Supreme Court and High Courts of Pakistan, and almost all the judgments of these cases are available on their respective websites in the form of PDF documents. Since ...
  • CLOUD: Clustering Large Online Unrecognized Detections 
    Ehsan ul Haq, Muhammad (SEECS, National University of Sciences & Technology Islamabad, 2022)
    Supervised techniques for recognizing detected objects (faces, vehicles, animals, birds etc) are inherently constrained (they can only recognize objects they are trained to recognize) especially in real-time or live ...
  • iSMILE: SPEECH RECOGNITION SOLUTION FOR CHILDREN WITH LEARNING DISABILITIES 
    Zulfiauar, M. Awais Zulfiauar (SEECS, National University of Sciences & Technology, 2017)
  • A Step-One Visual Learning App for children leveraging Knowledge-Aware Visual Question Answering Framework 
    Jamshed, Ahmed (SEECS, NUST, 2022)
    Visual Question Answering (VQA) is a complex cognitive multimodal inference problem in which the latest techniques from the fields of NLP (Natural Language Processing) and CV (Computer Visions) are merged with the goal ...
  • Information Extraction From Court Room Records 
    Nida Ahmed (SEECS, National University of Science and Technology, Islamabad., 2021)
    The legal domain remains among various areas that have many opportuni ties when it comes to improvement and innovation through computational advancements. In Pakistan, in the recent past, the courts have made reported judgments ...
  • Seismic data evaluation using machine learning algorithms 
    Raisa Suleman (SEECS, National University of Science and Technology, Islamabad., 2021)
    Earthquakes are one of the devastating natural disasters which cause significant damage to property due to their destructive nature. Seismic stations around the globe record data continuously to make it available for ...
  • Classification and Segmentation of 3d Point Clouds based on deep learning 
    Rabbia Hassan (SEECS, National University of Science and Technology, Islamabad., 2022)
    Analysis of point clouds through deep convolutional neural networks is an active area of research due to their massive real-world applications including autonomous driving, indoor navigation, robotics, virtual/augmented ...
  • Microservice-Oriented Distributed framework for resource intensive workloads 
    Muhammad Ehtisham Mubarik (SEECS, National University of Science and Technology, Islamabad., 2021)
    Fixed allocation of GPU resources to virtual machines increases idle time in utilization of GPU resources when the workloads are being executed on a different machine and increases the cost of hardware as it requires ...
  • Text Summarization from Judicial Records using Deep Neural Machines 
    Ayesha Sarwar (SEECS, National University of Science & Technology, Islamabad., 2021)
    The judiciary is the branch of the government whose task is the administration of justice. The courts are generating a large amount of data as legal proceedings. The legal documents are in the form of cases and their ...
  • Deep Emotion Recognition by Analyzing Inertial Data of Human Gait 
    Hamza Ali Imran (SEECS, National University of Science and Technology, Islamabad., 2018)
    The Internet of Things (IoT) anticipates a future in which commonplace products will be incorporated with sensors. Sensors can detect both living environs and the human body, allowing for easier contact with the physical ...
  • Energy- aware Real-Time Route Prediction Framework for Embedded Systems 
    Ayesha Zahir (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Internet of Things (IOT) is becoming an important part of our lives as it integrates computing devices embedded in everyday objects and Vehicle of Things is a major part of IOT. This research is focused on trac-aware ...
  • Discriminative Splitting of LSTM-RNN Deep Neural Networks for Robust Speech Recognition 
    Muhammad Irfan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    DNN and RNN are becoming popular to for solving complex problems such as speech recognition, machine translation, natural language processing and image recognition. One major aspect of RNNs are their ability to learn ...

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