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Decoding Flow-Ecology Relationships: A Machine learning framework for flow regime Characterization and riparian vegetation prediction
Published 2025-06-01“…To efficiently obtain the flow sequences under the future climate scenarios, the study constructs two optimization algorithm-based LSTM-Transformer coupled models, achieving superior simulation results with NSE exceeding 0.95 during the historical period (1981–2023). …”
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1202
FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection
Published 2025-05-01“…To address the complexities of crane hook operating environments, the challenges faced by large-scale object detection algorithms on edge devices, and issues such as frame rate mismatch causing image delays, this paper proposes a faster, lighter, and more efficient object detection algorithm called FLE-YOLO. …”
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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering
Published 2025-06-01“…Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. …”
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1207
An End-to-End Particle Gradation Detection Method for Earth–Rockfill Dams from Images Using an Enhanced YOLOv8-Seg Model
Published 2025-08-01“…A Minimum Area Rectangle algorithm was introduced to compute the gradation, closely matching the results from manual screening. …”
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1208
Rail surface identification and adhesion control based on dynamic adhesion characteristics
Published 2025-06-01“…Subsequently, the trained model is integrated into the vehicle simulation model for real-time identification of current rail surface conditions, and the output value from this module is fed into the subsequent optimal adhesion search algorithm. …”
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AstroM3: A Self-supervised Multimodal Model for Astronomy
Published 2025-01-01“…One surprising highlight is the “rediscovery” of Mira subtypes and two rotational variable subclasses using manifold learning and dimensionality reduction algorithms. To our knowledge this is the first construction of an n > 2 mode model in astronomy. …”
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Reverse Logistics Network Optimization for Retired BIPV Panels in Smart City Energy Systems
Published 2025-07-01“…Meanwhile, the multi-level recycling network which covers “building points-regional transfer stations-specialized distribution centers” is designed in the research, the Pareto solution set is solved by the improved NSGA-II algorithm, a “1 + 1” du-al-core construction model of distribution center and transfer station is developed, so as to minimize the total cost and life cycle carbon footprint of the logistics network. …”
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Digital twin-driven management strategies for logistics transportation systems
Published 2025-04-01“…Furthermore, it combines the LSTM neural network algorithm to design a predictive model for time-series forecasting of transportation behaviors. …”
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Application of Machine Tool Thermal Error Compensation in Digital Twin-based System
Published 2025-02-01Get full text
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Development of a manipulator kinematic model using Abb Robot Studio
Published 2024-12-01“… The subject of the research in the article is the application of control technology and algorithms, construction of the trajectory of movements and interaction with the production environment based on Abb Robot Studio. …”
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Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions
Published 2025-07-01“…Abstract Aiming to address the challenges of reduced detection accuracy in face mask applications due to mutual occlusion, lighting variations, and detection distance, this paper proposes a face mask detection algorithm tailored for complex environments. First, we construct a comprehensive face mask dataset. …”
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High precision DOA estimation of microphone array for shipboard teleconferencing
Published 2022-03-01“…With the improvement of ship intelligence level, shipboard teleconferencing system is of great significance to improve the emergency handling capacity and promote the construction of shipboard integrated network. Microphone array is an important voice front-end to ensure the voice effect as well as the multi-mode interaction of teleconferencing system. …”
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Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power
Published 2025-06-01“…Firstly, based on the improved Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm and backward reduction method, a set of typical scenarios that represent the uncertainties of PV and load is generated. …”
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Modelling and Numerical Solution of the Problem with Unilateral Constraints and Friction under Dynamic Action of the Load
Published 2021-02-01“…Based on the considered discrete contact model and the step-by-step analysis method, a numerical algorithm has been developed, which allows in one step-by-step process to integrate simultaneously the equations of motion and implement contact conditions with Coulomb friction. …”
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Protein structural domain-disease association prediction based on heterogeneous networks
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Opportunities, Challenges, and Future Directions for Generative Artificial Intelligence in Library Information Literacy Education: A Scoping Review
Published 2024-09-01“…The comprehensive analytical framework encompassed four key dimensions: technology acceptance, educational framework construction, AI literacy cultivation, and the integration of artificial intelligence with IL education. …”
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Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model
Published 2025-07-01“…In the scene of coal and rock interbedded blasting in open-pit mine, aiming at the problems that the existing prediction methods of blasting vibration peak value are difficult to achieve ideal prediction results, resulting in unreasonable design of blasting parameters and initiation network, a prediction model of blasting vibration peak value based on integrated particle swarm optimization support vector machine algorithm (GRA-EPSO-SVM) with grey correlation degree feature selection is proposed. …”
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