MS: Recent submissions

  • 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 ...
  • Hybrid Bayesian Network Structure Learning Using Map-Reduce For Big Data 
    Haider, Jarrar (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Predicting the future or outcome of any event has been in human’s nature since the beginning of time. We have always been trying to know what our actions will result in. With the advancement in the field of science and ...
  • One-Shot Vehicle Re-Identification 
    Farooq, Hassan (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Although person re-identification has amassed great attention due to being a major part of intelligent video surveillance systems, however, there is another, although less seen, but important end of the intelligent video ...
  • Effectiveness of Digital Technology on Engagement for enhancing English language skills among Primary School Students 
    ABDULLAH, HAFIZ MUHAMMAD (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Primary Education is always considered very essential for any society because it guarantees learners’ cognitive, effective, social, psycho-motor developments as well as their readiness not only for elementary but for the ...
  • An Improved Approximation Algorithm for Symmetric & Asymmetric TSP Problems 
    uddin, Fakhar (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Travelling salesman problem (TSP) is one of the fundamental and most researched problems in the study of Approximation Algorithms. Generally, the algorithm is provided with a metric(V, d) and the aim of the algorithm is ...
  • Deep Learning Based Segmentation of Multiple Tissue Structures in Histology Images for Predictive Cancer Analytics 
    Rasool, Afia (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    According to a survey of global health metrics, cancer is one of top five leading lethal diseases around the world. It has the capability to proliferate into other parts of body and often recurs again after the treatment ...
  • Fuzzy Logic based Energy Management in Smart Charging Network for Electric vehicles 
    Rehman, Muneeb Ur (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    In today’s world, electric vehicles (EVs) are trending due to many positive factors associated with them. They are taking over the conventional internal combustion (IC) engine-based vehicles in many countries around the ...
  • Modeling, Simulation, and Forecasting of Wind Power Plants in Pakistan using Agent-Based Approach 
    MaheMobeen (2019)
    National economy and growth relies heavily on electricity but unfortunately, rapid growth and urbanization with ever-growing inhabitants has caused severe energy crisis in Pakistan. Major portion of electricity generation ...
  • Adaptive supertwisting sliding mode control based plugin hybrid electric vehicle 
    Hayatullah, Syed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Nowadays, the world’s biggest concern is environmental pollution, decrease of fossil fuel reserves, and the depletion of conventional energy resources. Internal combustion engine (ICE) vehicles use conventional fossil ...
  • Crop classification using low altitude remote sensing platforms 
    Iqbal, Naveed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Remote sensing has been found to be a valuable tool in evaluating, monitoring and management of land, water and crop resources. Satellite imagery and aerial imagery have wide applications in the field of agriculture, ...
  • Abstractive Text Summarization of Judicial Cases in Supreme Court of Pakistan 
    Anwar, Muneeb Ahmed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2021)
    Due to the large quantity of legal data availability on the internet, and other resources, it is vital for the research groups to carry broad research in the field of legal text processing, which can assist us make sense ...
  • Deep Learning Based Segmentation of 3D Point Clouds 
    Mehmood, Saba (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    3D models like point clouds are very widespread these days and are being used in numerous fields. Despite their broad availability, there is still a perti nent need of automatic approaches for semantic segmentation of ...
  • Tags Recommendation Based on Social Context 
    Riasat, Tuba (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Social media platforms are not just a source of communicating with each other but also the main source of generating web content like images. Users upload the images along with the tags describing the content of the ...
  • Identifying Influential Factors Affecting Pregnancy Events Using Machine Learning Approaches 
    Tasneem, Aymen; (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Despite of health awareness campaigns and improvements in education system, neonatal mortality is still a critical issue around the world. Out of 140 million children born annually, 4 million die in the first month of ...
  • Deep learning based human age estimation using inertial data of normal walk 
    Arshad, Khawaja Ali (2021)
    Human gait enables information about soft biometrics features in multiple scenarios where the environment and visual cues are not known. This characteristic of human gait has numerous application in the field of surveillance, ...
  • Tapping the power of multidimensional clinical data to identify Irritable Bowel Syndrome (IBS) endo-phenotype using Machine Learning 
    Khan, Uswah Ahmad (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Irritable bowel syndrome (IBS) physiopathology is a complicated and multidimensional condition that continues to confound researchers and clinicians alike. Despite substan tial research, our understanding of the underlying ...
  • Urdu to English Neural Machine Translation using Transformers 
    Pervaz, Novera (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Neural machine translation is a field of research that has gained worldwide interest over the years. It involves the use of deep learning algorithms to translate texts from one language to another. The research in this ...
  • Deep Learning Based OCR for Mathematical Expressions 
    Rehman, Asad (School of Electrical Engineering and Computer Sciences (SEECS), NUST., 2023)
    Mathematical expression recognition with the help of a deep neural network is proposed in this work. A latex sequence is generated from this model of a given mathematical expression image. An attention aggregation-base ...
  • An Efficient Hybrid Classification Model for Heart Disease Prediction 
    Munsif, Maaham (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    Heart disease prediction is a critical task in healthcare, aiming to identify individuals at risk and enable timely intervention. In this study, we propose a novel approach that combines a genetic algorithm for feature ...
  • Multi dimensional data visualization for geographical data 
    Malik, Sara Imtiaz, (School of Electrical Engineering and Computer Science, 2018)

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