MS: Recent submissions

  • Behavioral Modelling of Household Water Consumption for Effective Water Supply and Management 
    Alvi, Muhammad Saad Qaisar (School of Electrical Engineering and Computer Science NUST SEECS, 2018)
    Pakistan is rapidly becoming a water stressed country, thus affecting people’s wellbeing. Authorities are faced with making drastic water conservation policies towards achieving effective management of available water ...
  • Comparison of deep learning techniques for Sindhi language speech recognition 
    Nawaz, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    With great technological advancements made in computational powers, Automatic Speech Recognition (ASR) systems have seen a surge in interest and usage. Much research has been done in ASR systems in languages like Chinese, ...
  • Parameter based Threat Detection in Network Datasets using Machine Learning algorithms 
    Luqman, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 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 ...
  • Optical Music Recognition Using Deep Learning 
    Farooq, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Optical Music Recognition (OMR) is an important task in music information retrieval from music sheet images. Precise detection of music symbols in a music sheet image is an essential component of any OMR system. The approaches ...
  • Designing Intelligent Botnets 
    Afzal, Muhammad Ertza (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Machine-learning is making its way in every field today and has recently been of special interest in the domain of Cyber-security. It is of special interest in applications where decision making is critical. For this ...
  • Crop Type Classification Using Deep Learning 
    Danish, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Crop type classification is one of the important part of many applications in food security and agricultural monitoring. Due to rapidly enhancement in the field of science and technology, satellites sensors are getting ...
  • Urdu Text to Speech System for Navigation App 
    Asfand, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Due to increase in taxi hailing service (Uber & Careem), a demand for Urdu text to speech system was increasing. This system would be used in a Pakistani navigation app which would facilitate the drivers(captains) in ...
  • CBR-based Similar Case Retrieval from Judicial Records 
    Gul, Mehreen (School of Electrical Engineering and Computer Science NUST SEECS, 2022)
    Courts require information technology that can handle the many ways that cases are handled since not all cases are handled in the same way. As a result, AI can be helpful for various sorts of court proceedings in various ...
  • Vehicle re-identification for Visual Surveillance 
    Asghar, Hasan Ali (School of Electrical Engineering and Computer Science NUST SEECS, 2023)
    Intelligent video surveillance systems are becoming an increasingly important major area of artificial intelligence as the use of motor vehicles in today’s transportation networks grows. In recent times re-identifying ...
  • 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 ...

Search DSpace


Advanced Search

Browse

My Account