MS: Recent submissions

  • Heart sound segmentation using PCG signals 
    Shah Khalid (CEME-NUST-National Univeristy of Science and Technology, 2019)
    Cardiac auscultation is a method used to listen heart sound. Condition of the heart can be predicted with cardiac auscultation because heart generates a specific rhythm of sound and any changes in the rhythm of the heart ...
  • Software Defect Prediction using Ensemble Learning 
    Shafique Ahmed (CEME-NUST-National Univeristy of Science and Technology, 2016)
    Extensive research has been carried out in the last decade regarding the improvement of software defect prediction methods, aiming at optimization goals, namely, cost-effectiveness, less effort employment and less time ...
  • A Framework for Dynamic Partial Reconfiguration of Xilinx 7 Series FPGA/SOC 
    Muhammad Usama Iqbal (CEME, National University of Sciences and Technology, Islamabad, 2020)
    Dynamic Partial reconfiguration is extensively used for applications which requires the adaptive behavior of a system at run time. Almost all SRAM-based field programmable gate arrays (FPGAs) introduced in the last decade, ...
  • SDN-Based Inter-ISP Caching 
    Muhammad Talha Jahangir (CEME, National University of Sciences and Technology, Islamabad, 2019)
    Big data introduces many challenges from the service provider’s perspective such as increase in latency, delay variance, congestion and network utilization etc. These days users require fast speed contents as well as ...
  • FPGA Framework Adaptation for Network on System Based Embedded System 
    Unknown author (CEME, National University of Sciences and Technology, Islamabad, 2016)
    The increasing demand for more processors within Multiprocessor systems-on-chips (MPSoCs) results in a trend to shift from 32-bit bus-based embedded systems towards Network-on-Chips (NoC). NoC can overcome the problems ...
  • Synthetic Aperture Radar Processing on GPU 
    Muhammad Usman Shahid (CEME, National University of Sciences and Technology, Islamabad, 2016)
    Synthetic Aperture Radar (SAR) system operates in all weathers conditions to produce imagery of a terrain through reflections from that scenario during a manure. For verification of applied algorithms, it is a tedious task ...
  • Head Counting Estimation in Dense Crowds for Visual Surveillance 
    Muhammad Sajid (CEME, National University of Sciences and Technology, Islamabad, 2016)
    Analysis of crowd number and behavior has been an active research area in recent years. People counting really pose a challenging problem to solve due to constant displacement, different outlook and behavior of people. In ...
  • A Framework for Android Malware Detection and Classification 
    Muhammad Murtaz, Amir Naqvi (CEME, National University of Sciences and Technology, Islamabad., 2019)
  • Cross Sectional Survey Based Intelligent Framework for the Diagnosis of Frozen Shoulder 
    Humaira Batool, Sayyada (CEME-NUST-National Univeristy of Science and Technology, 2016)
    Mostly the efforts made in medical diagnosis are considered an art. However in today’s computing machinery, it’s really difficult how to cope with uncertainty. After the advancement in data mining techniques, the researchers ...
  • Macula, Hemorrhages and Exudates Detection along with Illumination Equalization of Fundus Images 
    Sarmad Abbas (CEME-NUST-National Univeristy of Science and Technology, 2015)
    Human eye is known as the most complex part of the body. The di erent parts of the eye take the light in the body and perceive the things around us in a proper color, detail and depth. A number of ocular diseases exist ...
  • Distortion Invariant Correlation Filters for Enhanced Target Recognition 
    Sara Tehsin (CEME-NUST-National Univeristy of Science and Technology, 2016)
    The target object recognition system faces important concerns including the sensitivity to the variations in the reference image. A fully invariant system helps in resolving difficulties in object detection when camera or ...
  • Analysis of EEG Signals for Detection of Epileptic Seizure 
    Saqib Ejaz Awan (CEME-NUST-National Univeristy of Science and Technology, 2015)
    Epileptic seizures are known to be sudden surges of electrical activity in the brain which cause the affected person to behave abnormally for a short time period. The human brain produces electrical signals which prove ...
  • Edge Flow Based Level Set Evolution Approach for Medical Image Segmentation 
    Sana Ullah (CEME-NUST-National Univeristy of Science and Technology, 2018)
    Image segmentation is one of the key tasks in different applications of image processing, computer vision and image analysis. A variety of image segmentation techniques are available in the literature, among which level ...
  • Automated Segmentation of Retinal Layers for The Detection of Diabetic Macular Edema using OCT images 
    Samra Naz (CEME-NUST-National Univeristy of Science and Technology, 2016)
    Macula is a yellow colored oval shaped area that surrounds the fovea nearby the midpoint of the retina in the human eye. Fovea is a small pit present at the center of the eye having a diameter if 1500 microns. Macular edema ...
  • A Model- Driven Approach for Design and Analysis of Physical Infrastructures 
    Sami Ul Haq (CEME-NUST-National Univeristy of Science and Technology, 2017)
    The infrastructures like dams, powerhouses, schools, transportation / communication systems, etc., are essential for today’s daily life. In past two decades, sophisticated terrorists’ attacks on such infrastructures have ...
  • Network-on-Chip based Application Speci c Processors for Frequent Pattern Mining Algorithms 
    Sajid Gul Khawaja (CEME-NUST-National Univeristy of Science and Technology, 2017)
    Technological advancements in the recent past have seen to the rise of data availability as a result of low cost storage devices and the advent of e-enabled systems in daily life. These factors have played a pivotal role ...
  • Predicting Patient’s Length of Stay By Mining Hospital Data 
    Saira Seemab (CEME-NUST-National Univeristy of Science and Technology, 2015)
    In the last few years, prediction of patient’s length of stay (LOS) in a hospital is one of the major research areas in healthcare and data mining. Here, the primary objective is to develop a predictive model that can ...
  • Analysis of Retinal Images for Accurate Drusen Extraction 
    Saima Waseem (CEME-NUST-National Univeristy of Science and Technology, 2014)
    Medical systems based on state of the art image processing and pattern recognition techniques are very common now days. These systems are of prime interest to provide basic health care facilities to patients and support ...
  • Error Tolerant Video Streaming in IEEE WLAN 
    Saima Shaheen (CEME-NUST-National Univeristy of Science and Technology, 2015)
    Broadband network proliferation at higher bit rates has spurred a host of multimedia streaming applications like internet video surveillance, live broadcast of international events, distant learning and entertainment etc. ...
  • Broker Based Qos Centric Federated Cloud Framework With Financial Options 
    Sahar Arshad (CEME-NUST-National Univeristy of Science and Technology, 2015)
    Cloud computing has grasped the attention of scientific community and business industry towards the provisioning of computing resources as a utility and software as a service over a network. Access to software or hardware ...

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