MS: Recent submissions

  • Currency Exchange Rate prediction using LSTM and Bi-LSTM Model 
    Hassan, Syed Shah Mir Ul (College of Electrical & Mechanical Engineering (CEME), NUST, 2022)
    Predicting financial data, whether stock market rates or foreign exchange rate prices, has always been tricky. Financiers all throughout the world are interested in accurate data prediction because of the possible financial ...
  • A Framework for Dynamic Partial Reconfiguration of Xilinx 7 Series FPGA-SOC 
    Iqbal, Muhammad Usama (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    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, ...
  • Convolutional Neural Network Based Steering Direction Estimation for Self-Driving Car 
    Batool, Sherin (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    With technological advancements in automation and artificial intelligence, automated vehicle systems, fully autonomous vehicles, self-driving cars are becoming the part of news constantly. In order to assist drivers in ...
  • Convolutional Neural Network Based Monocular Depth Estimation 
    Suleman, Iqra (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Foriailongitime,istereoicamerasihaveibeenideployediinivisualisimultaneousi locationiandimappingi(SLAM)isystemsitoiobtaini3Diinformation.iAlthoughistereoi camerasishowigoodiperformance,itheimainidrawbackiisitheicomplexi ...
  • Automated Target Detection in Aerial Images using Convolutions Neural Networks (CNN) 
    Khan, Wajiha Rahim (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    In iComputer ivision, iobject idetection iand iclassification iare iactive ifields iof iresearch. iApplications iof iobject idetection iand iclassification iincludes ia idiverse irange iof ifields isuch ias isurveillance, ...
  • Classification of White Blood Cells from Microscopic Images 
    Hussain, Muhammad Abbas (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Image processing has become an important pillar in modern age of technology. It plays a significant role in medical field. It makes the diseases diagnosis and analysis more accurate and speedup this process. Human health ...
  • Based Inter-ISP Caching 
    Jahangir, Muhammad Talha (College of Electrical & Mechanical Engineering (CEME), NUST, 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 ...
  • Implementation of Mo soft core in FPGA 
    Shahzad, Muazzam (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    M0 core developed by ARM is a widely used general purpose processor. M0 core is a RISC based processor utilizing only 12000 logic gates in its small configuration. This makes it very feasible for low powered devices as ...
  • An Empirical Model Based Optimal Architecture for N-Bits M-Points Fast Fourier Transform 
    Ali, Muhammad Ghashan (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The use and vast implementation of Discrete Fourier Transform has revolutionized the world and allowed the researchers to think of the modern world from a different perspective. The discovery of Fast Fourier Transform ...
  • ndustrial Internet of Things (IIoT) Based Job Shop Scheduler Monitoring System 
    MALIK, KHOLA (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The manufacturing industry has now started the 4th revolution; also referred to as Industry 4.0, powered by the Industrial Internet of Things (IIoT) technology. In this context factories are now being transformed into ...
  • IMPLEMENTATION OF FIXED POINT NOISE COMPENSATION IN IIR FILTERS USING ERROR FEEDBACK 
    MASOOD, HARIS (College of Electrical & Mechanical Engineering (CEME), NUST, 2009)
    Infinite Impulse Response filters (IIR) with different approximations was first realized in 19th century. IIR filters have gained enormous popularity in the recent years due to its inherent ability to filter out the ...
  • Automatic Segmentation of Mitral Valve for Detection of Rheumatic Heart Disease using Ultra Sound Images 
    Saeed, Freeha (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Rheumatic Heart disease is an outcome of continuous episodes of rheumatic fever. It directly damages heart valve especially mitral valve, which leads to thickened leaflet and fused tips. So results in mitral stenosis a ...
  • An Early Detection Technique for the detection of Epilepsy using EEG signals 
    Abbas, Syed M.Hassan (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The advent of the EEG signals and their applications in medical filed have opened many new avenues for the mankind to excel in. Today Electroencephalogram or EEG is one of the frontline tool for diagnosis of brain related ...
  • Improved Burst Detection for Physical Layer of SDR Wideband Waveform 
    REHMAN, HASEEB-UR- (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Seamless communication for reliable, detailed and precise transfer of informative data is the requirement of future tactical systems. To improve the demand of high throughput in networking radio communication systems, a ...
  • Learning based classification of OCT Images with Diabetic Macular Edema and Dry-Age Related Macular Degeneration with Recurrent Neural Networks 
    Khan, Albab Ahmad (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The recent emergence of machine learning and deep learning methods for medical image analysis has enabled the development automated computer aided systems that can assist ophthalmologists in making better decisions about ...
  • Brain Tumor Augmentation Using the U-NET Architecture 
    Jabbar, Mohsin (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Studies have found out that tumors in brain are one of the fiercest diseases which can ultimately lead to death. Gliomas are the most commonly found primary tumors that are very hard to predict and can be found anywhere ...
  • Emotion Recognition using Machine Learning Model from ECG and GSR 
    Rahim, Amna (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Human Emotion Recognition has enabled state of art applications in medical healthcare, surveillance, digital entertainment and various other sectors. Therefore, their prediction remained an interesting aspect in the field ...
  • CNN and Ensemble Learning for Brain Tumor Segmentation and Survival Prediction 
    Nawaz, Ali (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Brain tumor is the spread of abnormal cells in the brain. Out of several kinds of brain tumor gliomas is the most dangerous with low survival rate and difficult to detect manually due to irregular form and confusing ...
  • Classification and Segmentation of COVID-19 from CT and X-ray Images using Deep Architectures 
    Kha, Hafiz Muhammad Sarmad (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    COVID-19 has become a significant challenge, with numerous human beings losing their lives every day. Not only a certain country is involved with this outbreak, but even the world has suffered because of the corona virus. ...
  • Automatic Prostate Cancer Grading Using Deep Architectures 
    Mohsin, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2021)
    Prostate cancer is the second most aggressive type of cancer diagnosed in men, seriously affecting people’s life and health. Prostate cancer detection and grading in advance is a very critical step for pathologists. Large ...

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