بدائل البحث:
system algorithm » swarm algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
system algorithm » swarm algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
levels using » cells using (توسيع البحث)
element » elements (توسيع البحث)
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181
Blood Glucose Regulation Modelling and Intelligent Control
منشور في 2024احصل على النص الكامل
doctoralThesis -
182
A cluster-based model for QoS-OLSR protocol
منشور في 2017احصل على النص الكامل
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conferenceObject -
183
Machine Learning Techniques for Pharmaceutical Bioinformatics
منشور في 2018"…Drug molecule interacts with multiple components in the biological system, for example, enzymes, proteins, among other drugs. …"
احصل على النص الكامل
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184
Copy number variations in the genome of the Qatari population
منشور في 2015"…CNVs were detected in 97 unrelated Qatari individuals by running two calling algorithms on each of two primary datasets: high-resolution genotyping (Illumina Omni 2.5M) and high depth whole-genome sequencing (Illumina PE 100bp). …"
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185
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186
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
منشور في 2024"…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …"
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187
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
منشور في 2022"…Wearable devices (WDs) make use of sensors historically reserved for hospital settings. …"
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188
Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection
منشور في 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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189
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190
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191
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192
Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors
منشور في 2016"…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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article -
193
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 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.…"
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194
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
195
A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
منشور في 2023"…Conventional methods, which are used to solve state estimation on the transmission level, require the grid to be observable. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
196
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
منشور في 2022"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …"
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197
Dynamic multiple node failure recovery in distributed storage systems
منشور في 2018"…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
198
Software defect prediction. (c2019)
منشور في 2019"…One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
199
Artificial intelligence models for predicting the mode of delivery in maternal care
منشور في 2025"…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"
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200