MS: Recent submissions

  • Financial Forecasting in Pakistan’s E-commerce 
    Sharif, Muhammad Ausaf (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    E-commerce has received widespread attention for being one of the most important accelerators of job creation and entrepreneurship, especially for youngsters. The scale of the e-commerce market in the context of Pakistan ...
  • Cooperative Dynamic Bandwidth Allocation Algorithm in Virtual Passive Optical Networks 
    Mashood, Haris (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    TDM-PON technologies are an attractive solution for a flexible and cost-efficient mobile front haul for C-RAN architecture. This is because these technologies allow for TDM over passive optical networks. However, because ...
  • The Development of A Partipatory Art Ecosystem using GenerativeAdversarial Networks and Blockchains 
    Waqar, Farwa (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Participatory art is a word that refers to a type of art that involves the audience directly in the creative process, making them participants in the event. In this regard, the artist is viewed as a collaborator and ...
  • Document Retrieval Using Unsupervised Text Classification With Word Embeddings 
    Siraj, Zahra (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Text classification is the process of categorizing a text phrase or text docu ment with an appropriate label. Supervised learning, is the most common method used for classifying texts. The traditional methods of text ...
  • Urdu topic modeling: Discovering the abstract topics of Urdu text 
    Ahmad, Waheed (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Topic modeling is a popular tool for analysing large corpus of textual data and to identify and discover the hidden structure and relations within the corpus.To accomplish this task, the focus is on utilising the models ...
  • Neural Networks based Dialogue System for Customer Support 
    Noor, Amna (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Customer service is one of the most important components of online services. However, as natural language processing methods are on the rise, the market is looking at automated conversational models based solutions to ...
  • RSA-Net: Recursive Skip Attention Network with mask refinement for nuclei instance Segmentation and classification in histology images 
    Amin, Nimra (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Automatic nuclei instance segmentation and classification within Hematoxylin & Eosin stained images can be considered a preliminary step in developing advanced medical systems which can provide diagnosis and prognosis ...
  • Conceptualization of Quarantine / Isolation Management System using Simulation and Modeling Techniques 
    Ahmed, Muhammad (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Covid-19 (Corona Virus Disease) has emerged as the largest pandemic in modern world, resulting in closure of normal work life and forcing people to isolate themselves from the suspected carriers of the virus. As identified ...
  • Natural Image Synthesis Using Scene Graphs 
    Malik, Mahgul (SEECS, National University of Science and Technology, Islamabad., 2022)
    Complex scene graphs are still battling to create fewer artefacts and distinct instances of an object when employed for image generation tasks. A closer look at the generated images found in the literature reveals that ...
  • Poverty Mapping Using Satellite Imagery 
    Arshad, M Arslan (SEECS, National University of Science and Technology, Islamabad., 2022)
    The absence of trustworthy data in poor nations is a significant barrier to disaster assistance, food security, and sustainable development. For instance, information on poverty is often hard to get by, poorly covered, ...
  • Classification for Low Intra-Class Variability and High Number of Classes 
    Shaheen, Mahefroze (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Optical Character Recognition (OCR) is the recognition of handwritten or printed text for various digital processing tasks. It is an important area of research in the field of image processing, natural language processing ...
  • Learning Category Aware Aggregation for Large Scale Point Cloud Semantic Segmentation 
    Ejaz, Amna (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Previous Point Cloud semantic segmentation methods lack the ability to fully capture the feature representation of the overlapping areas of different classes. Some works have identified the edge detection problem but ...
  • Multi Stage Quasi-labeled Vehicle Re-Identification Using Branched Convolutional Neural Networks 
    Haider, Ali (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Vehicle re-identification has become an important field of interest in computer vision, especially after the rise of importance of smart cities, and also with the evolution of Convolutional Neural Networks it has seemed ...
  • Vehicle Re-Identification using Shifted Window Transformer 
    Imran, Faisal (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Vehicle re-identification has become a key area in computer vision which has im portant applications in areas like vehicle tracking, commodity tracking, security tracking, etc. But Vehicle re-identification inherits two ...
  • A comparative analysis of GANS for generating synthetic network traffic datasets 
    Minhas, Madeeha (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Modern Machine learning and deep learning research have shown massive advancements in the area of generative models. The most popular framework of generative models is known as Generative Adversarial Networks or GANS. ...
  • Building Household Electricity Load Profile Using Machine Learning 
    Akkas, Arisha Saeed (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    The objective is to generate household electricity load-profiles by predicting device-wise electricity usage patterns using the time-series data, to trace the disutility of electricity. Further, the emphasis lies on ...
  • A Hybrid Machine Learning Technique for Short-Term Electric Load Forecasting for Residential Users 
    Nawaz, Muhammad Awais (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    With the advancement of technology, people’s reliance on energy is rapidly increasing. Calculating a country’s power consumption is one technique to estimate its productivity and rate of development . Recently, countries ...
  • Semantic Segmentation of 3D Point Clouds Using Deep Learning 
    Manzoor, Muhammad Hasnat (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Arguably, one of the deep learning’s greatest achievements is transfer learning. It is proven that if we use a rich source dataset to pre-train a network (ImageNet in 2D) and after we use a smaller target dataset to ...
  • Machine Learning based Short Term Electric Load Forecasting for Domestic Users 
    Niaz, Anum (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Pakistan is facing a lot of problems in generating the required amount of energy and supplying it to the people. Most of the utility companies use load forecasting to anticipate how much power they'll expect to fulfil ...
  • Quantifying Severity of Symptoms in Patients with Parkinson’s Disease Using Wearable Sensors and Machine Learning 
    Khan, Umar (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Parkinson’s disease has been an active area of research from a long time. Although no cure for it has been discovered yet, but certain medicines, surgical treatments, or other therapies can sometimes provide some relieve ...

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