Computer Science: Recent submissions

  • 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 ...
  • 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 ...
  • Semantic Annotation and Retrieval in E-Recruitment 
    Awan, Malik Nabeel Ahmed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    E-recruitment processes prioritize matching between job descriptions and user queries to identify relevant candidates. Existing e-recruitment systems face challenges in extracting job descriptions due to unstructured ...
  • Dynamic Secret Sharing in Wireless Network for Security Purposes 
    Bhatti, David Samuel (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Wireless networks are widely accepted in almost all fields of life. Due to the broadcast nature, extensive and across-the-board use of these networks, security is becoming a critical issue day by day in these networks. ...
  • 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, ...

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