Computer Science: Recent submissions

  • Face Detection and Recognition in Camera Feeds 
    Hafiz Hamza Hafeez, Hafiz Muhammad Taha Khan (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    There has been a great advancement in the field of face recognition and verification in the recent years. Several international conference paper, journals and projects have been published and launched in this regard. ...
  • Smart Recommendations Based on Urban Spaces 
    Haseeb Ahmad, Tayyab Salman Nauman Liaqat (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Smart Urban Planning is the need of this era. A lot of research is going on in this area. We’re predicting traffic intensities at varying times and weather conditions to provide support for Smart Urban Planning. Google ...
  • Fitness Pro: A health and fitness App 
    Talha Mushtaq, Sana Tanveer Abubakar Farooque (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Fitness apps and devices are getting common in Pakistan and all the other countries of the world. With the passage of time, new and enhanced technologies are coming around. The new technologies still need improvement. This ...
  • Automated Gait Recognition 
    Muhammad Asad Ali, Muhammad Saad Sohail (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Biometric technologies possess considerable importance in the modern world where real time and remote surveillance for identification of individuals is critical. Biometric identifiers may depend on physiological or behavioral ...
  • Person Detection in Aerial Images 
    Muhammad Farah Adeed, Zain ul Abdin Muhammad Taha Mazari (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    With advancement in technology, a lot has changed. Starting from the daily life events like farming to mega events like launching satellites. Industrialization has changed our world altogether. For most of the times, it ...
  • Spatio-temporal Localization of Robbers in Videos 
    Zainab Rehman, Abdullah Rashid (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Robbery -- the use or threat of force to take another's property -- is among the nation's, most serious crime problems. High rates of robbery plague many inner-city neighborhoods. Robbery is a central component of the fear ...
  • FIX IT 
    Mueed Ur Rehman, Muhammad Yasir Hayat Khan Muhammad Atif (SEECS, National University of Sciences and Technology, Islamabad, 2019)
    Finding a plumber, electrician or a worker manually is not very easy or convenient task. To deal with this problem, we are developing an android application that will enable users to call a plumber or technician as need-ed, ...
  • Locality aware distributed processes scheduling to improve e ciency using machine learning techniques 
    Saad Zaheer (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Cloud provides a shared computing space on a pay-as-you-go model. Due to this sharing, it is di cult to execute the task e ciently in terms of time. Several factors play its parts such as process scheduling and computing ...
  • A Joint Optimization of End to End Person Re-identification in Visual Surveillance 
    Saadia Batool (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Person re-identification (re-id) deals with matching images of the same person over multiple non-overlapping camera views. It is applicable in searching a specific individual over multiple cameras. Commonly task of re-id ...
  • Prediction of Postpartum Depression Using Machine Learning Techniques 
    Burhan Ud Din Abbasi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    People post frequent updates on the social media platforms regarding their activities, likes and dislikes that adds the element of uniqueness and per- sonalization to the content. This study explores how data-driven ...
  • A dynamic framework to profile vehicle movements using crowd sourcing 
    Attiq ur Rehman (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Innovation expansion empowers its acceptance in each field of life making it simpler to embrace the most recent headway for social maintainability. The ideas of smart homes/urban communities have been developing for a long ...
  • Gene Filtering and Classification of Microarray data 
    Aneeqa Ali (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Microarrays have been widely used by scientific community to study and analyze the expression of large number of genes simultaneously. The advance of microarray technology provides a huge amount of genomic data which ...
  • Comparative Analysis of Document vs. Concept based Automatic Taxonomy Generation Process 
    Irfan Ali Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Huge amount of textual data is generated every second in today’s digital world. It is essential to process the data in such a way that valuable information can be extracted successfully and precisely. Taxonomy fulfills the ...
  • Scene Understanding Image Description In Natural Language 
    Imran Khurram (SEECS, National University of Sciences and Technology, Islamabad, 2012)
    Automatic image captioning is an active and highly challenging research problem in computer vision aiming to understand and describe the contents of the scene in human understandable language. Existing solutions for image ...
  • Artery Venous Classification in Retinal Images 
    Samia Akhtar (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Vessel segmentation and artery vein classification is often the first step in automated retinal image analysis. The numerous visual features and anomalies in retinal images can indicate the onset of diseases and their phase ...
  • Urdu Handwriting Recognition using Deep Learning 
    Muhammad Mubasher Khan (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Arabic like scripts (e.g., Urdu Nastaleeq) are cursive in nature even in their printed form. Unconstrained handwritten text in such scripts pose a stern challenge for a deep learning based text recognition system as ...
  • Unsupervised Vehicle Re-Identifi cation 
    Raja Muhammad Saad Bashir (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Vehicle re-identi cation (Re-ID) is one of the primary components of an au- tomated visual surveillance system. It aims to automatically identify/search vehicles in a multi-camera network usually having non-overlapping ...
  • Two Stream Deep CNN-RNN Attentive pooling architecture for Video Based Person Re-Identification 
    Wajeeha Ansar (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Person re-identification task is building up the correspondence between person images taken at different places and time from different cameras. It is an essential task for visual surveillance system. In this thesis, we ...
  • Inertial Based Terrain Classification 
    Muhammad Zeeshan Ul Hasnain Hashmi (SEECS, National University of Sciences and Technology, Islamabad, 2018)
    Terrain classi cation is an active area of research in robotics and autonomous o -road vehicle driving. However, this problem has barely been studied with the inertial data of human gait. In this thesis, estimation and ...
  • Table Detection in Document Images using Deep Learning 
    Azka Gilani (SEECS, National University of Sciences and Technology, Islamabad, 2017)
    Table detection is an essential step in many document analysis applications as tables are used for presenting structural and functional information to the reader. It is a hard problem due to varying table layouts. Researchers ...

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