Suggested Topics within your search.
Search alternatives:
processes » process (Expand Search)
Showing 2,481 - 2,500 results of 9,231 for search 'Generalized processes analysis', query time: 0.25s Refine Results
  1. 2481

    Building a Custom Crime Detection Dataset and Implementing a 3D Convolutional Neural Network for Video Analysis by Juan Camilo Londoño Lopera, Freddy Bolaños Martinez, Luis Alejandro Fletscher Bocanegra

    Published 2025-02-01
    “…The dataset is constructed using data from publicly available sources and undergoes a rigorous labeling process to ensure both quality and representativeness of criminal activities. …”
    Get full text
    Article
  2. 2482
  3. 2483
  4. 2484

    A Novel Recursive Methodology for Power Flow Analysis Based on the Holomorphic Embedding Method Using the Total Multiplication of Polynomials by Glaucus R. S. Lima, Edimar J. Oliveira, Leonardo W. Oliveira, Igor D. Melo

    Published 2025-01-01
    “…This paper introduces an innovative recursive methodology for ultra-fast load flow analysis. The approach is based on the Holomorphic Embedding Load Flow Method (HELM) and employs the Total Multiplication of Polynomials (TMP) to enhance computational efficiency and accuracy. …”
    Get full text
    Article
  5. 2485

    Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

    Published 2025-01-01
    “…To address the issues of accuracy and generalization in action recognition within complex tennis training scenarios, this study proposes an Adaptive Semantic-Enhanced Convolutional Neural Network (ASE-CNN) model. …”
    Get full text
    Article
  6. 2486
  7. 2487
  8. 2488
  9. 2489
  10. 2490
  11. 2491

    Analysis of the Lifestyle of Exemplary Women of the Islamic Revolution: A Case Study of the Wives of Martyrs Who Defended Holy Shrines by Maryam Goodarzi, Ezat Sadat Mirkhani

    Published 2024-12-01
    “…This research employed a descriptive content analysis methodology with an inductive approach. The sampling method was purposive, utilizing the snowball technique. …”
    Get full text
    Article
  12. 2492

    Analysis of Passenger Flow Characteristics and Origin–Destination Passenger Flow Prediction in Urban Rail Transit Based on Deep Learning by Zhongwei Hou, Jin Han, Guang Yang

    Published 2025-03-01
    “…Station passenger flow can only predict station distribution, and the passenger flow distribution in general sections is unknown. Accurate short-term travel origin and destination (OD) passenger flow prediction is the main basis for formulating urban rail transit operation organization plans. …”
    Get full text
    Article
  13. 2493

    Neither Corpus Nor Edition: Building a Pipeline to Make Data Analysis Possible on Medieval Arabic Commentary Traditions by Cornelis van Lit, Dirk Roorda

    Published 2024-06-01
    “…We take these printed editions, scan them, pre-process the images, give it to an OCR engine, clean the results, and store it in a data structure that mimics the explicit intertextual relation the texts have, and continue to perform data analysis on it. …”
    Get full text
    Article
  14. 2494
  15. 2495
  16. 2496

    Leveraging hybrid model of ConvNextBase and LightGBM for early ASD detection via eye-gaze analysis by Ranjeet Bidwe, Sashikala Mishra, Simi Bajaj, Ketan Kotecha

    Published 2025-06-01
    “…This research introduces a novel method for eye gaze analysis to identify autistic traits in children. This proposed work offers • A novel method of ConvNextBase and LightGBM leveraging eye position as a feature for early detection of autistic traits. • A new ConvNextBase architecture proposed with few unfreezed layers and extra dense layers with units of 512 and 128, respectively, and dropout layers with a rate of 0.5 that extract rich, high-level, and more complex features from the images to improve generalization and mitigate overfitting. • A LightGBM model performed classification using 3-fold cross-validation and found the best parameters for bagging_function, feature_fraction, max_depth, Number_of_leaves and learning_rate with values of 0.8, 0.8, −1, 31 and 0.1 respectively, to improve the model's robustness on unseen data.This proposed method is trained and tested on the publicly available Kaggle dataset, and results are benchmarked with other state-of-the-art methods. …”
    Get full text
    Article
  17. 2497

    Impact of a Virtual Reality Video ("A Walk-Through Dementia") on YouTube Users: Topic Modeling Analysis by Xiaoli Li, Xiaoyu Liu, Cheng Yin, Sandra Collins, Eman Alanazi

    Published 2025-04-01
    “…However, there is limited research on the use of VR to engage the general public in raising awareness about ADRD. …”
    Get full text
    Article
  18. 2498
  19. 2499

    Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

    Published 2025-05-01
    “…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
    Get full text
    Article
  20. 2500