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241
Estimation of power grid topology parameters through pilot signals
منشور في 2016احصل على النص الكامل
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conferenceObject -
242
The maximum common subgraph problem
منشور في 2017احصل على النص الكامل
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conferenceObject -
243
A cluster-based model for QoS-OLSR protocol
منشور في 2017"…The QOLSR is a multimedia protocol that was designed on top of the Optimized Link State Routing (OLSR) protocol. It considers the Quality of Service (QoS) of the nodes during the selection of the Multi-Point Relay (MPRs) nodes. …"
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conferenceObject -
244
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245
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
منشور في 2020احصل على النص الكامل
doctoralThesis -
246
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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247
Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
منشور في 2025"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"
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248
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249
Towards Multimedia Fragmentation
منشور في 2006"…In this paper, we address multimedia database fragmentation by extending existing fragmentation algorithms to take into account key characteristics of multimedia objects. …"
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conferenceObject -
250
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251
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252
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253
SemIndex: Semantic-Aware Inverted Index
منشور في 2017احصل على النص الكامل
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conferenceObject -
254
A fine-grained XML structural comparison approach
منشور في 2007احصل على النص الكامل
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conferenceObject -
255
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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256
Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
منشور في 2023"…There’s a significant focus on the integration of AI and ML in prehospital emergency care, particularly in using ML algorithms for predicting outcomes in COVID-19 patients and enhancing the recognition of out-of-hospital cardiac arrest (OHCA). …"