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implementing rd » implementing iot (Expand Search)
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201
Connectionist technique estimates of hydrogen storage capacity on metal hydrides using hybrid GAPSO-LSSVM approach
Published 2024“…With this purpose, a total number of 244 pairs of AB<sub>2 </sub>alloys including the elements and their respective hydrogen storage capacity were collected from the literature. …”
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202
Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations
Published 2021Get full text
doctoralThesis -
203
On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity
Published 2020“…Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…”
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masterThesis -
204
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
Published 2022“…In HOMER software, all the possible dispatch algorithms were analyzed, and the power system responses and reliability study were carried out using DIgSILENT PowerFactory. …”
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205
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
Published 2023Get full text
doctoralThesis -
206
Exploring the Dynamic Interplay of Deleterious Variants on the RAF1–RAP1A Binding in Cancer: Conformational Analysis, Binding Free Energy, and Essential Dynamics
Published 2024“…Hence, the current study focuses on the screening of clinically reported substitutions in the <i>RAF1</i> and <i>RAP1A</i> genes using predictive algorithms integrated with all‐atoms simulation, essential dynamics, and binding free energy methods. …”
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207
Large language models for code completion: A systematic literature review
Published 2024“…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …”
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208
Copy number variations in the genome of the Qatari population
Published 2015“…Consistent with high consanguinity levels in the Bedouin subpopulation, we found an increased burden for homozygous deletions in this group. …”
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209
Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3
Published 2020Get full text
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conferenceObject -
210
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
Published 2022“…We also review methods that use machine learning algorithms to predict blood glucose trends, especially for high risk events such as hypoglycemia. …”
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211
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
Published 2021“…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…”