يعرض 321 - 340 نتائج من 401 نتيجة بحث عن '(((( complement system algorithm ) OR ( element making algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.49s تنقيح النتائج
  1. 321

    Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 حسب Matthew Yedutenko (5142461)

    منشور في 2025
    "…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"
  2. 322

    Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf حسب Matthew Yedutenko (5142461)

    منشور في 2025
    "…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"
  3. 323

    supporting data for PHD thesis entitled " Arousal Regulation and Neurofeedback Treatment for ADHD Children" حسب Yuliang Wang (9151616)

    منشور في 2025
    "…Analyses use standardized mean differences (Hedges g) under random-effects models, stratified by comparator type (medicine, active, sham, passive) and, where applicable, contrasted across protocol families (customised algorithm, SCP, SMR, TBR).</p><p dir="ltr">The supporting dataset contains the <b>raw arm-level descriptive statistics</b> required to compute effect sizes: per study, outcome, and timepoint it lists group means, standard deviations, and sample sizes for neurofeedback and control arms, along with rater, comparator category, protocol type, and outcome direction coding (so higher values consistently reflect the intended construct). …"
  4. 324

    Determining IFI44 as a key lupus nephritis’s biomarker through bioinformatics and immunohistochemistry حسب Yue Tan (2319811)

    منشور في 2025
    "…The levels of IFI44 positively correlate with serum creatinine and the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and inversely with serum complement C3 and initial estimated glomerular filtration rate (eGFR).…"
  5. 325

    3D Deformable cell based model. حسب Roland M. Dries (6620132)

    منشور في 2025
    "…The cells are pulled apart slightly to stretch the adhesive bonds, making them more visible. (<b>F</b>) Cell model algorithm, shown as pseudo code.…"
  6. 326

    Table 2_Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database.xlsx حسب Xi-Feng Wang (6443420)

    منشور في 2025
    "…Food and Drug Administration Adverse Event Reporting System (FAERS) database. A total of 461 PTs were identified as satisfying by all four algorithms. …"
  7. 327

    Table 1_Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database.docx حسب Xi-Feng Wang (6443420)

    منشور في 2025
    "…Food and Drug Administration Adverse Event Reporting System (FAERS) database. A total of 461 PTs were identified as satisfying by all four algorithms. …"
  8. 328

    Echo Peak حسب Rocco De Marco (14146593)

    منشور في 2025
    "…</p><p dir="ltr">For classification, the algorithm iteratively processes the audio in overlapping time windows. …"
  9. 329

    Identify different types of urban renewal implementations at streetscape scale حسب Xiaotong Wang (20852492)

    منشور في 2025
    "…Existing research primarily focuses on detecting pixel-level or object-level changes in urban physical space, often neglecting the semantic complexity inherent in urban renewal. …"
  10. 330

    Identification of ferroptosis-related LncRNAs as potential targets for improving immunotherapy in glioblastoma حسب Zhaochen Wang (12176245)

    منشور في 2025
    "…<p>The effect of ferroptosis-related long non-coding RNAs (lncRNAs) in predicting immunotherapy response to glioblastoma (GBM) remains obscure. …"
  11. 331

    Supplementary material for the article "Identification of relevant research topics based on pooled bibliometric data of the International Journal of Hydrogen Energy publications fo... حسب Boris Chigarev (6474086)

    منشور في 2025
    "…The study showed the feasibility of merging bibliometric records from the open platforms ScienceDirect and The Lens, which complement each other. The “Fields of Study” data of The Lens was interpreted as system keywords similar to Scopus Index Keywords. …"
  12. 332

    AI Influence in the Educational Environment حسب Lev Radman (21381269)

    منشور في 2025
    "…The CSV file contains Likert-scale and categorical responses, with a separate README describing each variable and coding scheme.</p><p dir="ltr"><b>Potential reuse</b><br>Researchers can replicate or extend technology-acceptance models in emerging-economy contexts, compare student versus professional cohorts, or conduct secondary analyses on AI self-efficacy and algorithmic trust.…"
  13. 333

    <b>R</b><b>esidual</b> <b>GCB-Net</b>: Residual Graph Convolutional Broad Network on Emotion Recognition حسب Qilin Li (535447)

    منشور في 2025
    "…It can accurately reflect the emotional changes of the human body by applying graphical-based algorithms or models. EEG signals are nonlinear signals. …"
  14. 334

    ImproBR Replication Package حسب Anonymus (18533633)

    منشور في 2025
    "…<br><br>**Import Errors:**<br>Make sure you're in the replication package directory:<br>```bash<br>cd ImproBR-Replication<br>python improbr_pipeline.py --help<br>```<br><br>## Research Results & Evaluation Data<br>### RQ1: Bug Report Improvement Evaluation (139 reports)<br>**Manual Evaluation Results:**<br>- [`RQ1-RQ2/RQ1/manual_evaluation/Author 1 Responses.csv`](<u>RQ1-RQ2/RQ1/manual_evaluation/Author 1 Responses.csv</u>) - First evaluator assessments<br>- [`RQ1-RQ2/RQ1/manual_evaluation/Author 2 Responses.csv`](<u>RQ1-RQ2/RQ1/manual_evaluation/Author 2 Responses.csv</u>) - Second evaluator assessments <br>- [`RQ1-RQ2/RQ1/manual_evaluation/Final Results.csv`](<u>RQ1-RQ2/RQ1/manual_evaluation/Final Results.csv</u>) - Consolidated evaluation results<br><br>**Inter-Rater Agreement (Cohen's Kappa):**<br>- [`RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_s2r_label.png`](<u>RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_s2r_label.png</u>) - Steps to Reproduce κ scores<br>- [`RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_ob_label.png`](<u>RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_ob_label.png</u>) - Observed Behavior κ scores<br>- [`RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_eb_label.png`](<u>RQ1-RQ2/RQ1/cohen's_cappa_coefficient_matrices/confusion_matrix_eb_label.png</u>) - Expected Behavior κ scores<br><br>**Algorithm Results:**<br>- [`RQ1-RQ2/RQ1/algorithm_results/improbr_outputs/`](<u>RQ1-RQ2/RQ1/algorithm_results/improbr_outputs/</u>) - ImproBR improved reports<br>- [`RQ1-RQ2/RQ1/algorithm_results/chatbr_outputs/`](<u>RQ1-RQ2/RQ1/algorithm_results/chatbr_outputs/</u>) - ChatBR baseline results<br>- [`RQ1-RQ2/RQ1/algorithm_results/bee_analysis/`](<u>RQ1-RQ2/RQ1/algorithm_results/bee_analysis/</u>) - BEE tool structural analysis<br><br>### RQ2: Comparative Analysis vs ChatBR (37 pairs)<br>**Similarity Score Results:**<br>- [`RQ1-RQ2/RQ2/algorithm_results/similarity_scores/overall_tfidf.csv`](<u>RQ1-RQ2/RQ2/algorithm_results/similarity_scores/overall_tfidf.csv</u>) - TF-IDF similarity scores<br>- [`RQ1-RQ2/RQ2/algorithm_results/similarity_scores/overall_word2vec.csv`](<u>RQ1-RQ2/RQ2/algorithm_results/similarity_scores/overall_word2vec.csv</u>) - Word2Vec similarity scores<br>- [`RQ1-RQ2/RQ2/algorithm_results/similarity_scores/exact_string_comparisons.json`](<u>RQ1-RQ2/RQ2/algorithm_results/similarity_scores/exact_string_comparisons.json</u>) - Complete TF-IDF comparison with scores for each comparison unit (full debugging)<br>- [`RQ1-RQ2/RQ2/algorithm_results/similarity_scores/word2vec_comparisons.json`](<u>RQ1-RQ2/RQ2/algorithm_results/similarity_scores/word2vec_comparisons.json</u>) - Complete Word2Vec comparison with scores for each comparison unit (full debugging)<br><br>**Algorithm Outputs:**<br>- [`RQ1-RQ2/RQ2/algorithm_results/ImproBR_outputs/`](<u>RQ1-RQ2/RQ2/algorithm_results/ImproBR_outputs/</u>) - ImproBR enhanced reports<br>- [`RQ1-RQ2/RQ2/algorithm_results/ChatBR_outputs/`](<u>RQ1-RQ2/RQ2/algorithm_results/ChatBR_outputs/</u>) - ChatBR baseline outputs<br>- [`RQ1-RQ2/RQ2/dataset/ground_truth/`](<u>RQ1-RQ2/RQ2/dataset/ground_truth/</u>) - High-quality reference reports<br>## Important Notes<br><br>1. …"
  15. 335

    Figure 8 from Prostate Cancer Progression Modeling Provides Insight into Dynamic Molecular Changes Associated with Progressive Disease States حسب Runpu Chen (14942572)

    منشور في 2024
    "…Each tumor sample was color-coded by its <i>ERG</i> fusion status inferred by the <i>ERG</i> gene expression level. …"
  16. 336

    <b>A virtual tracer experiment to assess the temporal origin of root water uptake, evaporation, and </b><b>drainage</b> حسب Paolo Nasta (19710883)

    منشور في 2024
    "…</p><p dir="ltr"><a href="" target="_blank">Two open-source Matlab scripts are available in the zip-files. The PT.m Matlab code determines the drainage transit time based on the particle tracking algorithm, while the VTE.m Matlab code determines the drainage and RWU transit times and relative rainfall contributions to actual evaporation, actual transpiration, and drainage using isotope transport simulations in HYDRUS-1D</a>. …"
  17. 337

    Data Sheet 1_MACRPO: Multi-agent cooperative recurrent policy optimization.pdf حسب Eshagh Kargar (20458304)

    منشور في 2024
    "…The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.…"
  18. 338

    Video 2_MACRPO: Multi-agent cooperative recurrent policy optimization.mp4 حسب Eshagh Kargar (20458304)

    منشور في 2024
    "…The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.…"
  19. 339

    Video 1_MACRPO: Multi-agent cooperative recurrent policy optimization.mp4 حسب Eshagh Kargar (20458304)

    منشور في 2024
    "…The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.…"
  20. 340

    Video 3_MACRPO: Multi-agent cooperative recurrent policy optimization.mp4 حسب Eshagh Kargar (20458304)

    منشور في 2024
    "…The results show superior performance against other algorithms. The code is available online at https://github.com/kargarisaac/macrpo.…"