Tracking and repairing damaged healthcare databases using the matrix by Haraty, Ramzi A.

“…The algorithm is based on data dependency and uses a single matrix. …”
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Using Social Network Analysis to Study Business Partnerships by KARIM, ROLA RASHAD ARIF ABDUL

“…The resulting weighted undirected network is analysed using community detection algorithms. Characteristics of the top seven communities discovered from the 2015 data are discussed for which common social network motifs are captured. …”
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Cyberbullying Detection in Arabic Text using Deep Learning by ALBAYARI, REEM RAMADAN SA’ID

“…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …”
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts by ALSHAMSI, SUROUR

“…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …”
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Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

“…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …”

Using machine learning to support students’ academic decisions by ALLAH, AISHA QASIM GHAZAL FATEH

“…At enrollment, this work predicts a student’s GPA in different majors using enrollment data such as high school average, placement test results, and IELTS score. …”
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Energy-aware adaptive compression for mobile devices. (c2009) by Maddah, Rakan

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Plant disease detection using drones in precision agriculture by Ruben Chin (17725986)

“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”

Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis by Naeem, Shahzeb

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Diagnosing failed distribution transformers using neural networks by Farag, A.S.

“…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …”
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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

DAP: A dataset-agnostic predictor of neural network performance by Sui Paul Ang (18460605)

Single channel speech denoising by DDPG reinforcement learning agent by Sania Gul (18272227)

“…These masks are then applied to the complex STFT matrix of the noisy speech to obtain the denoised speech. For matched testing data, the proposed system offers an improvement of 1.55 points in the perceptual evaluation of speech quality (PESQ) over the unprocessed speech, the highest among the other recent state-of-the-art models used for comparison in this paper. …”

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

Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter by Yahia, Mohamed

“…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. …”
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Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter by Alshoubaki, Ahmad

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Bridge Structural Health Monitoring Using Mobile Sensor Networks by Amin, Fouad

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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

“…The proposed design achieves an average throughput of 163.24 Gbps, exceeding throughputs of reported hardware-based classifiers that use comparable approaches, which in turn ensures the continuity of realtime traffic classification at congested data centers.…”
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