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601
PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system
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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602
Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction
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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603
NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models
Published 2025-05-01Get full text
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604
A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks
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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605
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606
Immune microenvironment spatial landscapes of tertiary lymphoid structures in gastric cancer
Published 2025-02-01Get full text
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607
EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction
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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608
A Review on Augmented Reality in Education and Geography: State of the Art and Perspectives
Published 2025-07-01Get full text
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609
Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing
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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610
Research on location method of rural basic educational facilities based on spatio-temporal coupling of multiple factors
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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611
Nonlinear prediction model of vehicle network traffic management based on the internet of things
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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612
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613
Enhancing Spatial Ability Assessment: Integrating Problem-Solving Strategies in Object Assembly Tasks Using Multimodal Joint-Hierarchical Cognitive Diagnosis Modeling
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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614
Study on load reduction and vibration control strategies for semi-submersible offshore wind turbines
Published 2025-01-01Get full text
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615
Temporal and spatial evolution of agricultural carbon emissions in Fujian Province, China
Published 2025-06-01Get full text
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616
Research Status and Development Direction of Formation Damage Prediction and Diagnosis Technologies
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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617
CNN-based salient features in HSI image semantic target prediction
Published 2020-04-01Get full text
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618
Expanding cryospheric landform inventories – quantitative approaches for underestimated periglacial block- and talus slopes in the Dry Andes of Argentina
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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619
Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy
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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620
USING THE SLEUTH MODEL TO SIMULATE FUTURE URBAN GROWTH IN THE GREATER EASTERN ATTICA AREA, GREECE
Published 2017-01-01Get full text
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