يعرض 101 - 115 نتائج من 115 نتيجة بحث عن '(( binary phase process optimization algorithm ) OR ( primary data design optimization algorithm ))', وقت الاستعلام: 0.34s تنقيح النتائج
  1. 101

    Basic color value distribution map of the street. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  2. 102

    SegNet architecture. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  3. 103

    Overview of workflow. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  4. 104

    Descriptive statistics for the volunteers. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  5. 105

    Jiefang North Road Street. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  6. 106

    Colors with different number of clusters. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  7. 107

    Fortran & C++: design fractal-type optical diffractive element حسب I-Lin Ho (13768960)

    منشور في 2022
    "…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …"
  8. 108

    Active Learning Accelerated Discovery of Stable Iridium Oxide Polymorphs for the Oxygen Evolution Reaction حسب Raul A. Flores (2910539)

    منشور في 2020
    "…We emphasize that the proposed AL algorithm can be easily generalized to search for any binary metal oxide structure with a defined stoichiometry.…"
  9. 109

    Image 1_Noninvasive estimation of oxygenation index in pediatric critical care: an independent retrospective observational validation.pdf حسب Thomas E. Bachman (19262317)

    منشور في 2025
    "…Objective<p>To independently validate an empirically optimized algorithm for calculating estimated Oxygenation Index (eOI) using noninvasive parameters from pediatric intensive care populations.…"
  10. 110

    CSPP instance حسب peixiang wang (19499344)

    منشور في 2025
    "…</b></p><p dir="ltr">Its primary function is to create structured datasets that simulate container terminal operations, which can then be used for developing, testing, and benchmarking optimization algorithms (e.g., for yard stacking strategies, vessel stowage planning).…"
  11. 111

    Supplementary Material for: A new tool to assess patient-ventilator synchrony in preterm infants receiving non-invasive ventilation: a randomized crossover pilot study حسب Cresi F. (20575829)

    منشور في 2025
    "…Methods: This study involved designing a custom algorithm for signal analysis. Data were collected through a polygraph that could simultaneously gather respiratory data from the patients and ventilator. …"
  12. 112

    An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows حسب Pierre-Alexis DELAROCHE (22092572)

    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. …"
  13. 113

    Table 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.docx حسب Lichen Zhu (22399222)

    منشور في 2025
    "…</p>Methods<p>We retrospectively analyzed 603 patients who had visited the Hubin Campus between January 2022 and April 2025, employing a 1:2 case-control design with age- and gender-matched groups. We collected clinical information, complete blood count data, lipid metabolism indicators, and various derived indices.…"
  14. 114

    Image 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.tif حسب Lichen Zhu (22399222)

    منشور في 2025
    "…</p>Methods<p>We retrospectively analyzed 603 patients who had visited the Hubin Campus between January 2022 and April 2025, employing a 1:2 case-control design with age- and gender-matched groups. We collected clinical information, complete blood count data, lipid metabolism indicators, and various derived indices.…"
  15. 115

    Dataset: Spatial Variability and Uncertainty of Soil Nitrogen across the Conterminous United States at Different Depths حسب Elizabeth Smith (12273647)

    منشور في 2022
    "…Finally, we used uncertainty information to propose optimized locations for designing future soil surveys and found that the Atlantic Neotropical, Pacific Northwest, Pacific Southwest, and Appalachian/Cumberland Plateau NEON domains may require larger survey efforts. …"