Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

“…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). K-fold cross-validation was the most used algorithm evaluation tool reported in the studies (24/47, 51%).…”

Software maintenance tool. (c1995) by Yassin, Rabe'ah H.

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Second-order conic programming for data envelopment analysis models by Mourad, Nahia

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An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems by Habchi, W.

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Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

“…Machine learning has proven its effectiveness in building decision making models and recommender systems in various fields. In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
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Predicting stability of classes in an object-oriented system by Azar, D.

“…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…”
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Hardening the ElGamal Cryptosystem in the Setting of the Second Group of Units by ElKassar, AbdulNasser

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Cooperative clustering models for Vehicular ad hoc networks. (c2013) by Abdel Wahab, Omar Mohammad

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Self-Checking Hardware Design for Montgomery Exponentiation-Based Cryptography by Muhammad Ali Akbar (16875915)

“…The current state-of-the-art designs for this algorithm are well-analyzed in terms of hardware overhead but are not investigated for faults caused by physical attacks. …”

ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

“…The design of an efficient routing algorithm for the Internet of Vehicles (IoV) poses several problems due to its special characteristics, including nodes high-speed mobility, frequent topology change, link instability, and the presence of radio obstacles. …”
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An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures by Ouaiss, Iyad

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The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …”

Validating a new model for rapid multi-dimensional combined heat and air infiltration building energy simulation by Abi Shdid, Caesar

“…A new model for combined heat and air infiltration simulation is developed and presented. The model resulted in up to 91.6% improvement in relative accuracy over current algorithms. …”
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Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage by Yousra Regaya (17788964)

“…The proposed algorithm is tested on Three-Dimensional Rotational Angiography (3DRA) datasets; the average values of segmentation accuracy, DSC, FPR, FNR, specificity, and sensitivity, are found to be 99.72%, 93.52%, 0.07%, 5.23%, 94.77%, and 99.96%, respectively.…”

Multigrid solvers in reconfigurable hardware by Haraty, Ramzi A.

“…Yet, most efforts fail in this respect due to many factors (time, resources) governed by software implementations. In this paper, we present a hardware implementation of the V-cycle Multigrid method for finding the solution of a 2D-Poisson equation. …”
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Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach by Danach, Kassem

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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik, Rafikiran

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

“…In the present article, we proposed a novel transfer learning-based predictor called, Lung-EffNet for lung cancer classification. …”

Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels by Bernard J. Jansen (7434779)

“…The hyperparameter selection for the 990 total personas results in an average deviation of 54.5% for gender, 42.9% for age, 28.9% for nationality, and 40.5% for gender-age-nationality. …”

Framework for rapid design and optimisation of immersive battery cooling system by Ali Almshahy (23544823)

“…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …”