Computer Science: Recent submissions

  • Large-Scale Face Detection in the Wild: A Comparison Study 
    Qasim, Hafiz Syed Ahmed (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Various applications like face analysis, recognition, reidentification exist where the use of Face Detection is necessary as their preprocessing algorithm in the pipeline. There have been extensive studies done in the ...
  • Distance Regression and Classification with Attention Network for Nuclei Instance Segmentation 
    Dogar, Ghulam Murtaza (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Nuclei segmentation and classification plays a major role in routine pathology workflow. Analyzing image data for finding morphological features of cells and nuclei help pathologists in diagnosis and treatment process. ...
  • Table Structure Extraction From Document Images 
    Sabir, Faisal Hussain (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Conventional computer vision applications are highly dependent on handcrafted features for classification and object detection problems. The recent development in the domain of deep learning has solved many complex problems ...
  • Squeeze-and-Residual-Excitation in Holistic Attention Network for Improved Super Resolution in Remote Sensing Imagery 
    Khan, Bostan (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Super-resolution (SR) provides an excellent approach of improving applications related to remote-sensing imagery, hence, tasks like object detection, classication and segmentation can greatly benet from high performing ...
  • Multidimensional Challenges of Geo, Social & Economic Reachability: A Step Towards Sustainable Development Goals 
    Pirzada, Asma (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Internet in Pakistan is becoming an area of exponential growth. The global rise in IT infrastructure demands efficient, fast, high-speed internet while offering alternative innovative technologies. In this skyrocket ...
  • Investigating Web Browser Lifecycles: A Comparative Analysis of Firefox, Chrome, and Edge on Windows 11 
    Raza, Ahmed (School of Electrical Engineering and Computer Science NUST SEECS, 2023)
    Today, the Internet has evolved into an indispensable piece of our daily lifestyles through its various applications such as healthcare to education, businesses to research, and entertainment. Nowadays, one of the ...
  • Topic Modeling Text Clustering based on Deep Learning Model 
    Qayyum, Fahad (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    With 2.5 quintillion bytes of data produced daily in the modern digital age, the exponen tial increase of data output has reached unprecedented levels. Because of the widespread connection of people and devices, the volume ...
  • Evaluating Transfer Performance of Self Supervised Models for Vehicle Re-Identification 
    Abbasi, Maria Waseem (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    In recent times, self-supervised visual representation learning has made considerable advancements. But no such studies are available which determine the extent to which features learned through self-supervised pre-training ...
  • Temporal Analysis of Forest Cover Change owing to Environmental Impacts using Machine Learning 
    Noor, Shehla (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    Analyzing changes in the forest canopy is essential for sustainable forest man agement. Forests get affected by deforestation such as global warming, human activities, and a variety of natural calamities such as forest ...
  • ECG Classification Using Deep Learning 
    Sattar, Shoaib (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    ECG Classification or Heartbeat Classification is an important task in cardiology. Deep Learning based methods assist human experts in the diagnosis of cardiac diseases and help save important lives. In this research, a ...
  • Biasness of World Leaders: A Sentiment Analysis of World Leaders’ Twitter Data 
    Khan, Samir (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    The United Nations’ Sustainable Development Goals (SDGs) are a set of 17 goals that were adopted in 2015 as a blueprint for a better and more sustainable future. The goals are interconnected and address diverse global ...
  • Hiring through Social Networks: A Natural Language Processing Automation of Conversation 
    Muhammad, Shaida (School of Electrical Engineering and Computer Science, NUST, 2023)
    Linkedin is used by recruiters in the recruitment industry to find candidates for jobs. Recruiters search for candidates, select potential candidates (prospects) and send job advertisement/invitation messages. The messages ...
  • Sarcasm Detection with BERT Based Ensembled Deep Learning Models 
    Perveen, Sania (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Sarcasm detection has been a topic of interest in natural language processing (NLP) research for several years and the growing interest of Internet users in social media has heightened researchers' desire to mine the ...
  • Heterogeneous Human Activity Recognition for Smart Health and IoT in Health Care 
    Khalil, Muhammad (School of Electrical Engineering & Computer Science (SEECS)-NUST, 2023)
    Human activity recognition (HAR) plays a vital role in various fields, including healthcare, sports, and human-computer interaction. In recent years, deep learning models have achieved remarkable success in HAR tasks. ...
  • Sindhi Ligature Recognition in Printed Text: A Large Scale Font Diverse Sindhi Ligature Recognition System 
    Ali, Zeeshan (School of Electrical Engineering & Computer Sciences (SEECS), NUST, 2023)
    The advent of Deep Learning in Computer Vision has resulted in advancements in many domains of life encompassing a diverse set of fields. Object Character Recognition plays a vital role in the modern age of Artificial ...
  • Predictive Visual Saliency Model for Crowd Videos 
    Tahira, Memoona (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Understanding saliency in a scene is vital as it helps to understand our human visual attention. There is a constant need for new, innovative datasets that cover a particular category of scenes from all angles. Crowded ...
  • Crime Prediction Using Machine Learning and Data Analytics 
    Haider, Muhammad Naqi (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Crimes have both short term and long term effects on individuals and on a society as a whole. Modern day law enforcement agencies are making use of data analytics and machine learning algorithms for predictive policing ...
  • Improving accuracy for RSSI based localisation 
    Unknown author (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Wireless technology has seen a sharp inclination towards low power wireless motes, micro sensor chips and microprocessors which are not only energy efficient but also have significant improvements in distributed signal ...
  • Towards efficient resource utilization in collaborative fog environment using multi-armed bandit. 
    Salee, Rabia (School of Electrical Engineering and Computer Science (SEECS), NUST, 2022)
    Offloading and resource utilization in vehicular networks and smart cities has been an important problem due to the excessive load on the vehicles despite the availability of multiple resources. These resources are located ...
  • Converting Tense Of A Sentence Using NMT Technique 
    Fatima, Rida (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    The ultimate rewarding goal, for me, for an intelligent system is being able to communicate seamlessly like human. Although there is great progress in the field of Machine Translation through Statistical Machine Translation ...

Search DSpace


Advanced Search

Browse

My Account