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Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions
Published 2023“…However, we also critically examine the challenges that such integration might pose by addressing issues of algorithmic bias, overreliance, plagiarism, misinformation, inequity, privacy, and copyright concerns in medical education. …”
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583
Parallel processing
Published 2005“…Parallel algorithms, based on simulated annealing, neural networks and genetic algorithms, for mapping irregular data to multicomputers are presented and compared. …”
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conferenceObject -
584
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
Published 2021“…The hyper-parameters of the proposed stacking ensemble are carefully tuned using the tree-structured of parzen estimators algorithm to achieve top-notch predictive performance. …”
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585
Single-channel speech denoising by masking the colored spectrograms
Published 2025“…U-Net (a deep neural network fundamentally developed for image segmentation) is trained on the noisy log-powered colored spectrograms (LPcS), using the binarized Mel spectrograms as ground truth (GT). …”
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586
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
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587
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
Published 2023“…The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.…”
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588
Multilayer perceptron-based DFE with lattice structure
Published 2001“…It is shown from computer simulations that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of multilayer perceptron-based DFE. …”
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589
Multilayer perceptron-based DFE with lattice structure
Published 2001“…It is shown from computer simulations that whitening the received data employing adaptive lattice channel equalization algorithms improves the convergence rate and bit error rate performances of multilayer perceptron-based DFE. …”
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590
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Dynamic adaptation for video streaming over mobile devices. (c2013)
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masterThesis -
592
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. …”
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593
Vehicular-OBUs-As-On-Demand-Fogs
Published 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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594
Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter
Published 2020“…Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. The models were trained and evaluated on a set of Saudi trolls disclosed by Twitter in 2019, the overall classification accuracy reaches up to 94.4%. …”
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595
Indoor Localization Based on Floor Plans and Power Maps
Published 2015“…First, a power map is simulated around “strategically” sampled training points. Then, the power map is used to produce an initial estimate for the position of the receiver, from which the total losses due to obstacles in the environment are calculated. …”
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conferenceObject -
596
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
Published 2022“…Machine learning (ML) algorithms have been used as an objective tool in screening or diagnosing voice disorders. …”
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597
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
Published 2018“…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …”
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598
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599
A new approach and faster exact methods for the maximum common subgraph problem
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conferenceObject -
600