بدائل البحث:
each algorithm » search algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
approximation » approximately (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
approximation » approximately (توسيع البحث)
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121
A quadratic kernel for 3-set packing
منشور في 2017"…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …"
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conferenceObject -
122
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123
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 -
124
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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article -
125
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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126
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"
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127
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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128
Iterative Methods for the Solution of a Steady State Biofilter Model
منشور في 2017احصل على النص الكامل
doctoralThesis -
129
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
منشور في 2025"…A comparative evaluation of three FL algorithms (FedAvg, FedProx, Mime-lite) identifies the most suitable aggregation strategy. …"
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130
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
منشور في 2025"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"