A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

“…In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. The proposed technique is characterized by a better handling of WEC system uncertainties such as wind variability, noise, measurement errors, which leads to an improved fault classification accuracy. …”

Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach by El Gohary, Youssef Hesham

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HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP by Sait, Sadiq M.

“…These include areas such as error detection and correction in data comunication, signature analysis and mass storage devices for parallel information transfers.…”
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Hardware design and VLSI implementation of a byte-wise CRCgenerator chip by Sait, Sadiq M.

“…These include areas such as error detection and correction in data communications, signature analysis, and mass storage devices for parallel information transfers…”
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Joint distributed synchronization and positioning in UWB ad hoc networks using TOA by Denis, B.

“…More particularly, the realistic UWB ranging error models we use take into account UWB channel effects, as well as detection noises and relative clock drifts. …”
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Downlink channel estimation for IMT-DS by Faisal, S.

“…However, for fast fading channels, a common decision directed algorithm is applied whose performance is limited due to error propagation. …”
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BIT-SLICE MICROPROCESSOR-BASED COMMUNICATIONS DECODER by SOOMRO, AA

“…To augment the throughput of the decoder for realtime decoding, the ALU word length is chosen to be equal to that of a code word and the decoding operation is accomplished in two steps, i.e. error detection and error correction. A buffer memory stores incoming blocks as more than one block may be received during a decoding cycle. …”
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Estimating Bridge Deterioration Age Using Artificial Neural Networks by AL HUSSEIN, ASEEL

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Portable Electromagnetic Surface Profiling System by Al Homssi, Bassel Mohamad

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A 3-D vision-based man-machine interface for hand-controlled telerobot by Al-Mouhamed, M.A.

“…Evaluation shows that the static and dynamic errors of the tracking algorithm are 0.1% and 0.6% for a centered workspace of 20/sup 3/ in/sup 3/ that is 40-60 in away from the cameras. …”
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Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE by ULLAH, SAAD

“…Seasonal thresholds are set for sensor values, and the algorithm detects hazardous trends when values exceed safe limits, correlating them with related sensors to generate combined variables and error codes. …”
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A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

“…Second, decoding operation is accomplished in two steps, namely (1) Error detection and (2) Error correction. It takes relatively much longer time to correct errors. …”
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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network by Monzure-Khoda Kazi (17191207)

“…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …”

Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study by Alkhodari, Mohanad Ahmed

“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). Three anatomically-realistic human leg models based on magnetic resonance imaging reconstructions were created. …”
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Inertial Navigation system of In-pipe Inspection Robot by Al-Masri, Wasim

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Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images by Rehan Raza (17019105)

“…However, manual CT scan analysis is time-consuming and prone to errors/not accurate. Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …”

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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Differential diagnosis of bile duct injury and ductopenia by West, A.B.

“…They occur in a wide variety of conditions ranging from developmental abnormalities and errors of metabolism to autoimmune disorders, infections, and iatrogenic states. …”
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