MS: Recent submissions

  • 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 ...
  • An Intelligent Framework for Support Ticket Resolution Actions Recommendation 
    Zaidi, Syed Shahzaib Ali (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Nowadays, customer support systems are one of the key factors in maintaining any big company's reputation and success. These systems are capable of handling a large number of tickets systemically and provides a mechanism ...
  • Comparison of deep convolutional neural architectures for handwritten numerals 
    Arif, Ameera (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Urdu is a primitive and one of the most popular languages in South Asia. It has a rich history and worldwide appeal with it being spoken in more than 200 countries around the globe. But in terms of research and ...
  • PyraContrast- Unsupervised Pre training on 3D Point 
    Manzoor, Muhammad Hasnat (School of Electrical Engineering and Computer Science (SEECS), NUST, 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 ...
  • Modeling and Forecasting of Power Plant Generation using Machine Learning Approach 
    Najeeb, Qazi Usman (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Electricity usage planning is a main concern for electricity stakeholders in a country. The exhaustible resources are not enough to address energy demand in our country. It comes with varied problems such as price, ...
  • Using Classical tools to counter Adversarial Attacks on Deep learning networks 
    Imtiaz, Aqsa (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Major success has been achieved by deep learning in various domains e.g. medical imaging, self-driving cars, face recognition, industrial automation and a lot more. But, discovery of adversarial examples has highlighted ...
  • Artificial Intelligence enabled Framework for Classification of Windows Portable Executable Malware using Static Feature Analysis 
    ASLAM, WARDA (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Keeping your computer system safe from all types of viruses, trojans, spyware, Ransomes is a daily basis struggle. All around the World people are struck by this problem on a daily basis. Using anti-virus is so far the ...
  • Automated Detection of Weapons in Surveillance Data 
    Hashmi, Tufail Sajjad Shah (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Weapon detection is a significant and intense issue in terms of public security and safety in general, and it’s undeniably a challenging and demanding task. It’s even more challenging when you need to perform it ...
  • Pansharpening of Multispectral Images using Dual Attention based Two Stream Network 
    Naqvi, Syeda Roshana Ali (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    With the advent of technology there are large number of earths observing satellites having sensors, delivering different type of images that can provide a varying useful information about different surfaces of earth and ...
  • Urdu Speech Recognition for Navigation Applications 
    Naqvi, Syed Meesam Raza (School of Electrical Engineering and Computer Science (SEECS), NUST, 2018)
    Recently automatic speech recognition (ASR) has gained a lot of public attention due to spiking interest in the area by some major tech giants. From voice-activated digital assistants in our homes to voice recognition ...

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