بدائل البحث:
localization algorithm » maximization algorithm (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data source » data sources (توسيع البحث)
localization algorithm » maximization algorithm (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data source » data sources (توسيع البحث)
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S1 Data -
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Q-table generation and updating mechanism.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Trajectory mode selection.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Reward Formulation.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Division of work phases.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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S1 Graphical abstract -
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Illustration of sensors placement.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Agent-Environment interaction.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Identification of failure conditions.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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Activities flow chart.
منشور في 2024"…Gas dispersion experiments under indoor conditions were conducted to train machine learning algorithms to collect data at numerous locations and angles. …"
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An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows
منشور في 2025"…Experimental Methodology Framework Local Processing Pipeline Architecture Data Flow: Storage I/O → Memory Buffer → CPU/GPU Processing → Cache Coherency → Storage I/O ├── Input Vector: mmap() system call for zero-copy file access ├── Processing Engine: OpenMP parallelization with NUMA-aware thread affinity ├── Memory Management: Custom allocator with hugepage backing └── Output Vector: Direct I/O bypassing kernel page cache Cloud Processing Pipeline Architecture Data Flow: Local Storage → Network Stack → TLS Tunnel → CDN Edge → Origin Server → Processing Grid → Response Pipeline ├── Upload Phase: TCP window scaling with congestion control algorithms ├── Network Layer: Application-layer protocol with adaptive bitrate streaming ├── Server-side Processing: Containerized microservices on Kubernetes orchestration ├── Load Balancing: Consistent hashing with geographic affinity routing └── Download Phase: HTTP/2 multiplexing with server push optimization Dataset Schema and Semantic Structure Primary Data Vectors Field Data Type Semantic Meaning Measurement Unit test_type Categorical Processing paradigm identifier {local_processing, cloud_processing} photo_count Integer Cardinality of input asset vector Count avg_file_size_mb Float64 Mean per-asset storage footprint Mebibytes (2^20 bytes) total_volume_gb Float64 Aggregate data corpus size Gigabytes (10^9 bytes) processing_time_sec Integer Wall-clock execution duration Seconds (SI base unit) cpu_usage_watts Float64 Thermal design power consumption Watts (Joules/second) ram_usage_mb Integer Peak resident set size Mebibytes network_upload_mb Float64 Egress bandwidth utilization Mebibytes energy_consumption_kwh Float64 Cumulative energy expenditure Kilowatt-hours co2_equivalent_g Float64 Carbon footprint estimation Grams CO₂e test_date ISO8601 Temporal execution marker RFC 3339 format hardware_config String Node topology identifier Alphanumeric encoding Statistical Distribution Characteristics The dataset exhibits non-parametric distribution patterns with significant heteroscedasticity across computational load vectors. …"
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Metadata supporting the published article: Guidelines for managing patients with primary ER+HER2- breast cancer deferred from surgery due to the COVID-19 pandemic.
منشور في 2020"…cmsPath=/Public/Datasharing/files/Alliance data sharing request form.pdf</a>).</p><p><br></p> <p> </p> <p><b>Study approval and patient consent: </b>All patients gave informed consent within each of the trials for the derivation of the data sourced for this study.…"