بدائل البحث:
research algorithm » search algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
research algorithm » search algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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361
THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
منشور في 2020"…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …"
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362
PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits
منشور في 2022"…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. …"
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363
Dynamic single node failure recovery in distributed storage systems
منشور في 2017"…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …"
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article -
364
Efficient Seismic Volume Compression using the Lifting Scheme
منشور في 2000"…In addition, the lifting scheme offers: 1) a dramatic reduction of the required auxiliary memory, 2) an efficient combination with parallel rendering algorithms to perform arbitrary surface and volume rendering for interactive visualization, and 3) an easy integration in the parallel I/O seismic data loading routines. …"
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365
User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
منشور في 2017"…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …"
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masterThesis -
366
Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
منشور في 2024"…These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. …"
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367
Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications
منشور في 2025"…</p><h3>Materials and methods</h3><p dir="ltr">An ensemble<u> species distribution modelling </u>approach, integrating regression-based and machine-learning algorithms (GLM, GBM, RF, MaxEnt), was used to project habitat suitability (Current time and by 2050, 2070, and 2090). …"
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368
CubeSat Communication Subsystems: A Review of On-Board Transceiver Architectures, Protocols, and Performance
منشور في 2023"…Nevertheless, several directions for improvements are proposed such as the use of improved channel coding algorithms, Field Programmable Gate Arrays (FPGAs), beamforming, advanced antennas, deployable solar panels, and transition to higher frequency bands. …"
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369
Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
منشور في 2017"…The <i>de novo</i> assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation.…"
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370
A quadratic kernel for 3-set packing
منشور في 2017احصل على النص الكامل
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conferenceObject -
371
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…Data-driven decision-making has become increasingly widespread and relevant across all business areas, including private and public sectors. My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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372
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373
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374