Computer Science: Recent submissions

  • An Optimized Cancer Classification Approach Using Deep Learning 
    Iqbal, Sidra (School of Electrical Engineering and computer Science (SEECS), NUST, 2023)
    Cancer, being a genetic disease, is engendered when the body’s cells grow uncontrollably and disseminate to other parts of the body. Early diagnosis and classification of cancer predominantly focus on recognizing symptomatic ...
  • Self Supervised Crop Type Classification using MultiSpectral Remote Sensing 
    Fatima, Syeda Faizan (School of Electrical Engineering and Computer Science (SEECS), NUST, 2023)
    Accurate and efficient crop classification using multispectral remotely sensed data is essential for crop yield estimation and agricultural management. However, one of the major challenges in this task is the limited ...
  • Deep Multi-Labelling based Unsupervised Person Re-Identification 
    Zarmeena (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Person re-identification is the problem of finding the given person in the nonoverlapping cameras at a given time or finding the person that has appeared in the same camera but at different time stamps. The re-identification ...
  • Estimating Water Quality using Internet of Things and Machine Learning 
    Ahmed, Umair (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Quality of water plays an important role in all aspects of our lives and it has been deteriorating at an alarming rate due to pollution, deeming its quick, inexpensive and accurate detection vital. Conventional methods ...
  • Localization of abnormalities in EEG signal 
    Faisal, Tayyaba (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Electroencephalogram (EEG) can be used for the diagnosis of neurologist disorders: Alzheimer’s disease, depression, dementia, and epilepsy. Manual interpretation of EEG is time consuming and resource hungry process. ...
  • Air-Flow Analysis in Smart Buildings using Fuzzy Logic 
    Naqvi, Syed Furqan Haider (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Building energy management is an emerging area of research with a wide variety of techniques applied in it. During the past few years, there is a huge rise in the demand for energy due to the exponential growth of ...
  • Locality aware distributed processes scheduling to improve efficiency using machine learning techniques 
    Zaheer, Saad (School of Electrical Engineering and Computer Science NUST SEECS, 2018)
    Cloud provides a shared computing space on a pay-as-you-go model. Due to this sharing, it is difficult to execute the task efficiently in terms of time. Several factors play its parts such as process scheduling and ...
  • Multi Modeling Approach for Effective Water Resource Management in NUST 
    Ali, Romana (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Freshwater is the naturally occurring water on earth except for brackish water and seawater. Water Scarcity has affected freshwater resources of all the countries including Pakistan and has become one of the largest ...
  • Large Scale Fine-Grained Visual Recognition 
    Usman, Omer (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Computer Vision depends on pattern recognition techniques to self-train and understand visual data. While machine learning algorithms were previously used for computer vision applications, now deep learning methods ...
  • Orientation Aware Weapons Detection in Visual Data 
    Haq, Nazeef Ul (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Automatic detection of weapons is significant for improving security and well being of individuals, nonetheless, it is a difficult task due to large variety of size, shape and appearance of weapons. View point variations ...
  • 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 ...
  • Estimation of Ground Contacts From Human Gait By a Wearable Inertial Measurement Unit 
    Umer, Muhammad Junaid (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Robotics system for rehabilitation of movement disorders and motion assistance are gaining increased intention. In this scenario estimation of ground contact is an active area of research in robotics and healthcare. This ...
  • 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 ...

Search DSpace


Advanced Search

Browse

My Account