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predictions » prediction (Expand Search), predicting (Expand Search), predictors (Expand Search)
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Machine Learning-Based Approach for EV Charging Behavior
Published 2021Get full text
doctoralThesis -
102
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics
Published 2023“…This paper proposes a novel deep learning-based approach to predict 3D GRF&M from only 5 markers placed on the shoe. …”
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Self-Perceived performance-based training needs among middle-level nursing managers in Jordan
Published 2023“…In addition, age, gender, prior training in nursing management, and years of experience as middle-level nurse managers significantly predicted the levels of training needed (R2 = 0.23, P < 0.001).…”
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ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework
Published 2024“…Specifically, our method utilizes historical load data per service and employs AI-based forecasts for service load prediction. Subsequently, it employs a Deep Reinforcement Learning (DRL) agent on O-RAN’s virtual Control Unit (vCU) and virtual Distributed unit (vDU) to correct errors in prediction and optimize the cost of slice allocation based on service KPI requirements, ultimately pre-allocating future network slices at reduced costs. …”
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Dynamic mechanical characterization and modelling of polypropylene based organoclay nanocomposite
Published 2015“…<p dir="ltr">In order to investigate the dynamic behaviour of polypropylene based organoclay nanocomposite, the polypropylene matrix and a master batch of polypropylene modified anhydrid maleic were mixed by means of melt mixing technique. …”
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Calculation of Average Road Speed Based on Car-to-Car Messaging
Published 2019“…These predictions are mainly based on historical data. Systems that provide near real-time road condition updates, e.g. …”
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Battery Energy Management Techniques for Electric Vehicle Traction System
Published 2019Get full text
doctoralThesis -
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Competition vs cooperation: An agent based model for sustainable tomatoes’ import system
Published 2024“…Interactions between trade partners are modeled using two game theoretic approaches counting<u> Cournot</u><u> competition</u> and <u>Cartel</u> collusion. Based on the research findings, a competitive global market can bring economic benefits to Qatar as an importing nation, but this approach also entails substantial <u>water consumption</u> and results in significant environmental emissions. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. …”
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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Modeling of photovoltaic soiling loss as a function of environmental variables
Published 2017“…The ANN model performed significantly better in predicting daily ΔCIas well as cumulative CI than the linear model in term of R2 values and statistical error indexes. …”
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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
Published 2024“…The data were distributed for training (35%), testing (35%), and validation (30%) of the prediction model.</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. …”