MS: Recent submissions

  • Smart Clustering Approach for Lifetime Maximization in Underwater Acoustic Sensor Networks 
    Qureshi, M Waqas Ahmed (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Routing protocols are critical after sensor node placement for safe and efficient communication. Network lifetime and power consumption are taken into account as important difficulties in the way of establishing underwater ...
  • Relation Extraction in Legal Judgements through Neural Tensor Network 
    Ali, Rida (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    The judiciary is a strong pillar of Pakistan whose responsibility is to provide justice. In recent years, Pakistani courts have digitized the legal system which resulted in generating a large amount of data every day. ...
  • Optimal Cancer Staging and Survival Analysis/Prognosis Using Machine Learning 
    Mansoor, Humna (SEECS-School of Electrical Engineering and Computer Science NUST Islamabad, 2022)
    Early predictions and survivability analysis can often be a key to better treatment and accurate prognosis of Cancer. Changes in staging model are a requirement to under stand the tumor behavior and its possible clinical ...
  • Network Slicing in optical fronthaul based Cloud Radio Access Network to support future 5G services 
    Huma Fida (SEECS, National University of Sciences & Technology Islamabad, 2022)
  • Optimal Solution for Load and Price Forecasting in Smart Grids 
    Khalid, Aneeza (SEECS, National University of Sciences & Technology Islamabad, 2022)
    With the advancement of technology, people need to know the things in advance so that they can make appropriate decisions for it. Similarly, when it comes to energy, we are curious to know that how much energy we are ...
  • Dependency-Aware Task Offloading in Vehicular Edge Computing 
    Iftikhar, Areeba (SEECS, National University of Sciences & Technology Pakistan, 2022)
    With the advancements in Internet Of Things (IOT), Internet Of Vehicles (IOV) has imposed a new challenge for computation intensive applications of smart vehicles. These applications require task computations in real ...
  • ENHANCEMENT OF STUDENTS’ LEARNING OUTCOMES BY USING INTERACTIVE VIDEOS IN AN ONLINE ENVIRONMENT 
    Asma Kiran (SEECS, National University of Science and Technology, Islamabad., 2021)
    Unprecedented trend of blending information and communication technology (ICT) in every domain of life is playing a decisive role in creating a difference amongst countries’ economic growth and development. Education ...
  • Impact of Lifestyle Factors on Life Expectancies in Pakistan 
    Syeda Aiman Farrukh (SEECS, National University of Science & Technology, Islamabad., 2021)
    The main idea of my research work is to perform data analytics on the data collected by monitoring the daily life styles of people. These analytics will help identify and timely detect any disease. With the recent ...
  • A Framework to Simulate Bulk-data migration Using Vehicular Traffic 
    Murk (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Data explosion in Smart cities is facing an exponential increase. Not only the field of Computer Science and Information Technology, but all other fields such as Science, medicine, arts, engineering etc. perform ...
  • Data Mining and Integration of Real-time Sensory Information in a Cloud Framework 
    Mansoor Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    In present times data is a ubiquitous resource, and its analysis to deduce highly selective and relatively more useful bits of information often holds great signi cance. However, in most advanced systems, the deduction ...
  • Aspect Based Opinion Mining In Social Media 
    Hira Masood (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Social media provides a big pool of information and this information can be useful for many purposes. It can be seen that people post a lot of updates on the social media regarding their likes and dislikes, which adds the ...
  • Prediction of Crimp in Cotton Woven Fabrics by Machine Learning Techniques 
    Muhammad Zohaib Fazal (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Textile industry is contributing greatly to the country's economy by having share of 55% in the total exports and by providing directly & indirectly employment to about 35% of the total workforce of Pakistan. Weaving ...
  • Fingerprinting the Software Defined Networks 
    Bilal Ahmed (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Research in Software De ned Networks (SDN) has gained momentum in recent years due to unique features o ered by it. The adaptation of the technology has resulted in many SDN enabled deployments. As it provides a centralized ...
  • NS-Based Hybrid Mobility Model for Urban Environments 
    Hira Tahir (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Mobile Adhoc Networks (MANET) has been an emerging eld for research in wireless communications during the last decade. It is the study of spontaneous and self-organizing network of mobile nodes without any infrastructure. ...
  • Networking Bene ts of Optimized Regenerator Placement and Hybrid Fiber Amplifi cation 
    Uzma Waheed (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    The continuous growth of IP tra c is pushing telecom operators to carefully consider core network upgrades. Operators concern is to cope tra c increase, maximizing return over investments on already installed equipment. One ...
  • Solving algebraic word problems using text mining 
    Tayyeba Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Development of experimental techniques and computational models accelerated the pace of research and development in the eld of mathematics and text mining. One of the major research area in the eld of automation is ...
  • Enhancing DSpace Digital Library with Topic Maps 
    Maliha Zahid (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    As information becomes more rich yet more complex, alternative ways of organizing the information are required to retrieve that information more effectively and efficiently from the specific source such as Web, local PC ...
  • Worker Safety In Confined Spaces Using Emerging Technologies 
    Muhammad Arslan (SEECS, National University of Sciences and Technology, Islamabad, 2013)
    Acquisition of sensor data from the field is essential not only for ensuring reliable building operations but can also help in dynamic management of various tasks which are associated with H&S. An important aspect of H&S ...
  • Jitter Based Congestion Control Mechanism for Real Time Streams over RTP 
    Shafqaat Ahmad (SEECS, National University of Sciences and Technology, Islamabad, 2007)
    The Internet is experiencing massive growth in multimedia applications like streaming audio and video. These applications normally have no transmission rate control mechanism as a result they congest a bottleneck link ...
  • Summarization of Opinions from Multiple Documents 
    Rubab Hafeez (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Daily amount of news reporting in real-world events is growing exponentially, at the same time, people need most important information about any event or any topic in an organized or compact form to make decisions. ...

Search DSpace


Advanced Search

Browse

My Account