بدائل البحث:
lasso algorithm » carlo algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
lasso algorithm » carlo algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
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181
A novel few shot learning derived architecture for long-term HbA1c prediction
منشور في 2024"…Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
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182
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
منشور في 2021احصل على النص الكامل
doctoralThesis -
183
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184
A hybrid model for the optimum integration of renewable technologies in power generation systems
منشور في 2011"…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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article -
185
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186
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187
Cyberbullying Detection Model for Arabic Text Using Deep Learning
منشور في 2023"…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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188
Inferential sensing techniques in industrial applications
منشور في 0007"…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …"
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masterThesis -
189
A cluster-based model for QoS-OLSR protocol
منشور في 2017احصل على النص الكامل
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conferenceObject -
190
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
191
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192
Optimizing clopidogrel dose response
منشور في 2016"…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …"
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article -
193
Cyberbullying Detection Model for Arabic Text Using Deep Learning
منشور في 2023"…Hence, detecting any act of cyberbullying in an automated manner will be helpful for stakeholders to prevent any unfortunate results from the victim’s perspective. Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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194
Role of authentication factors in Fin-tech mobile transaction security
منشور في 2023"…In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…"
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195
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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196
Novel biomarkers for potential risk stratification of drug induced liver injury (DILI)
منشور في 2019"…</p><h3>Methods:</h3><p dir="ltr">We explored PUBMED and all other relevant databases for scientific studies that explored potential utility of novel biomarkers of DILI, and subsequently carried out a narrative synthesis of this data. …"
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197
Vehicular-OBUs-As-On-Demand-Fogs
منشور في 2020"…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …"
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198
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
منشور في 2025"…Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …"
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199
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
منشور في 2019"…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …"
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200
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
منشور في 2011"…The proposed scheme monitors the signal strength level during the file transfer process and compresses data blocks on-the-fly only whenever energy reduction gain is expected. …"
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article