Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"

Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

"…The low R-squared scores obtained by the models are likely to be due to the low resolution of the NHANES data, particularly the dietary data. This emphasizes the need for high-quality data sets in Precision Nutrition research.…"

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"

Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
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A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities حسب Muhammad Mazhar Rathore (17051745)

"…<p dir="ltr">In the last decade, technological advancements in the cyber-physical system have set the basis for real-time and context-aware services to ease human lives. …"

The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

"…Magnetic resonance imaging data were most commonly used for classifying bipolar patients compared to other groups (11, 34%), whereas microarray expression data sets and genomic data were the least commonly used. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

"…</p><h3>Results</h3><p dir="ltr">In total, 70,623 records were collected in the data set from Ornge and land medical transport services to develop a prediction model. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams حسب Raun, Kristo

"…The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
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Communications in electronic textile systems حسب Nakad, Z.

"…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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

"…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). …"

Online Control and Optimization of Directional Drilling حسب unknown

"…The proposed controller design problem is formulated as an optimization problem for optimal settings of the controller feedback gains. Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles حسب 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 Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …"

An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks حسب Artail, Hassan

"…This paper introduces a message forwarding algorithm for search applications within mobile ad hoc networks that is based on the concept of selecting the nearest node from a set of designated nodes. …"
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