بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
data testing » data using (توسيع البحث)
elements rd » elements _ (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
data testing » data using (توسيع البحث)
elements rd » elements _ (توسيع البحث)
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381
Accelerating Blockchain Transaction Verification With Parallel Computing
منشور في 2024احصل على النص الكامل
doctoralThesis -
382
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
منشور في 2024"…<p dir="ltr">Stress recognition, particularly using machine learning (ML) with physiological data such as heart rate variability (HRV), holds promise for mental health interventions. …"
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383
Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
احصل على النص الكامل
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384
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes
منشور في 2023"…In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER<sup>+</sup>), HER2<sup>+</sup>, ER<sup>+</sup>HER2<sup>+</sup>, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …"
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385
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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386
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…Currently, it is difficult to classify cancers using microarray data. Nearly many data mining techniques have failed because of the small sample size, which has become more critical for organizations. …"
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387
Combinatorial method for bandwidth selection in wind speed kernel density estimation
منشور في 2019"…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …"
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388
The Impact of AI on Decision-Making in Educational Management: Benefits, Risks, and Ethical Concerns
منشور في 2024"…However, the adoption of AI also presents challenges, including potential biases in algorithms, privacy concerns, and the risk of an over-reliance on automated systems. …"
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389
Using machine learning to support students’ academic decisions
منشور في 2019"…At enrollment, this work predicts a student’s GPA in different majors using enrollment data such as high school average, placement test results, and IELTS score. …"
احصل على النص الكامل
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390
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
منشور في 2022"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. …"
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391
AUS-UAV HILS Setup of Dynamic Flight Path Planning
منشور في 2006احصل على النص الكامل
doctoralThesis -
392
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. …"
احصل على النص الكامل
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393
Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter
منشور في 2020"…The recent advancement in synthetic aperture radar (SAR) technology has enabled high-resolution imaging capability that calls for efficient speckle filtering algorithms to preprocess radar imagery. Since the introduction of the Lee sigma filter in 1980, the various versions of the minimum mean square error (MMSE) filter were developed, focusing essentially on how to estimate the processed pixels. …"
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article -
394
Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling
منشور في 2022"…<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. …"
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395
FoGMatch
منشور في 2019"…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
396
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397
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"
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398
Effective dispatch strategies assortment according to the effect of the operation for an islanded hybrid microgrid
منشور في 2022"…Following the simulation data, load-following is the best dispatch mechanism for stand-alone microgrid architecture since it has the lowest LCOE and NPC.…"
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399
Automatic White Blood Cell Differential Classification
منشور في 2005احصل على النص الكامل
doctoralThesis -
400
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
منشور في 2021"…This ongoing transition undergoes rapid changes, requiring a plethora of advanced methodologies to process the big data generated by various units. In this context, SG stands tied very closely to Deep Learning (DL) as an emerging technology for creating a more decentralized and intelligent energy paradigm while integrating high intelligence in supervisory and operational decision-making. …"