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Showing 601 - 620 results of 6,268 for search '((predictive OR reduction) OR education) spatial modeling', query time: 0.30s Refine Results
  1. 601

    PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

    Published 2025-07-01
    “…These advancements are essential for effectively predicting vehicle Green Signal Time by considering accurate detection and tracking, Spatial Occupancy calculation, long-term dependencies, and non-linear relationships in traffic data. …”
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    Article
  2. 602

    Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

    Published 2024-10-01
    “…The research intends to use the LSTM networks extensively that are proficient in spatial dependence capturing and integrate them with the collaborative learning framework of Federated Learning in an endeavor to augment the predictive competency. …”
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    Article
  3. 603
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    A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

    Published 2025-08-01
    “…Extensive experiments conducted on the PeMSD3, PeMSD4, PeMSD7, and PeMSD8 datasets reveal the superiority of the proposed models, STGCN-EWC, STGCN-MAS, and STGCN-SI models achieve significant reductions in error rates compared to baseline methodologies. …”
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    EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction by Oumeima Thâalbi, Moulay A. Akhloufi

    Published 2025-06-01
    “…Recent studies have used whole-slide images combined with spatial transcriptomics data to predict breast cancer gene expression. …”
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    Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing by Julong LAN, Di ZHU, Dan LI

    Published 2022-06-01
    “…First, the time series of data stream used for prediction is subjected to two-stage weighting processing,and then the processed time series and its dependent spatial topology information are input into the network model for spatiotemporal feature extraction. …”
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  10. 610

    Research on location method of rural basic educational facilities based on spatio-temporal coupling of multiple factors by Ziteng Liu, Ze Liu, Shichen Zhao

    Published 2025-05-01
    “…The STE model innovatively integrates three key factors – population, land, and capital – to achieve sustainable and balanced allocation of rural educational resources. …”
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  11. 611

    Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

    Published 2025-12-01
    “…This research presents a novel nonlinear prediction model for Internet of Things (IoT) driven vehicle network traffic management. …”
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    Enhancing Spatial Ability Assessment: Integrating Problem-Solving Strategies in Object Assembly Tasks Using Multimodal Joint-Hierarchical Cognitive Diagnosis Modeling by Jujia Li, Kaiwen Man, Joni M. Lakin

    Published 2025-03-01
    “…The MJ-DINA model consists of three sub-models: a Deterministic Inputs, Noisy “and” Gate (DINA) model for estimating spatial ability, a lognormal RT model for response time, and a Bayesian Negative Binomial (BNF) model for fixation counts. …”
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    Research Status and Development Direction of Formation Damage Prediction and Diagnosis Technologies by Zhe Sun, Zhangxing Chen

    Published 2025-01-01
    “…This study systematically reviews advancements in formation damage prediction and diagnostics, focusing on wellsite diagnosis, experimental methods, imaging techniques, analytical approaches, numerical modeling, and artificial intelligence applications. …”
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    Expanding cryospheric landform inventories – quantitative approaches for underestimated periglacial block- and talus slopes in the Dry Andes of Argentina by Tamara Köhler, Anna Schoch-Baumann, Rainer Bell, Johannes Buckel, Diana Agostina Ortiz, Dario Trombotto Liaudat, Lothar Schrott

    Published 2025-05-01
    “…Random forest models produce robust and transferable predictions of both target landforms, demonstrating a high predictive power (mean AUROC values ≥0.95 using non-spatial validation and ≥0.83 using spatial validation). …”
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  19. 619

    Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

    Published 2025-08-01
    “…Incorporating artificial intelligence (AI) within agricultural practices has fundamentally transformed the discipline by facilitating sophisticated data analysis, predictive modeling, and automation. This research presents a novel framework that integrates deep learning, precision agriculture, and depth modeling to detect crop rows and spatial information accurately. …”
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  20. 620