Výsledky vyhľadávania - "Encoder-decoder LSTM neural network"

Regional Ship Collision Risk Prediction: An Approach Based On Encoder-Decoder Lstm Neural Network Model

Autori: Chenyan Lin Rong Zhen Yanting Tong a ďalší

Multi-Ship Collision Risk Prediction: An Approach Based on Encoder-Decoder Lstm Neural Network Combination Model

Autori: Chenyan Lin Rong Zhen Yanting Tong a ďalší

Regional ship collision risk prediction: An approach based on encoder-decoder LSTM neural network model

Autori: Chenyan Lin Rong Zhen Yanting Tong a ďalší

Zdroj: Ocean Engineering. 296:117019

A New Collision Risk Assessment Algorithm Based on Ship's Finite-Time Reachable Set.

Autori: Sun, Wenhao Zheng, Kai Feng, Zhiwen a ďalší

Zdroj: Journal of Marine Science & Engineering; Nov2025, Vol. 13 Issue 11, p2174, 24p

Predmety: RISK assessment, NAVIGATION in shipping, NUMERICAL analysis, SAFETY, SIMULATION methods & models

A Hybrid Framework Integrating End-to-End Deep Learning with Bayesian Inference for Maritime Navigation Risk Prediction.

Autori: Zhou, Fanyu Wang, Shengzheng

Zdroj: Journal of Marine Science & Engineering; Oct2025, Vol. 13 Issue 10, p1925, 35p

Predmety: RISK assessment, DEEP learning, SAFETY, NAVIGATION, RECURRENT neural networks, BAYESIAN analysis

Attitude measurement approach for gyrowheel based on integrating mechanism and data. (English)

Autori: ZHAO, Yuyu LIU, Yaopeng WANG, Yuxiao

Zdroj: Systems Engineering & Electronics; Oct2025, Vol. 47 Issue 10, p3455-3463, 9p

Predmety: LONG short-term memory, ANGULAR velocity, MEASUREMENT errors, METROLOGY, MEASURING instruments, ARTIFICIAL neural networks, KINEMATICS

Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM).

Autori: Zhang, Ying Xu, Shimin Zhang, Linghui a ďalší

Zdroj: Neural Computing & Applications; Jul2025, Vol. 37 Issue 20, p14869-14888, 20p

Predmety: AIR traffic control, GRAPH neural networks, MACHINE learning, FORECASTING, SPATIOTEMPORAL processes, AIRWAYS (Aeronautics), ARTIFICIAL neural networks, TRAFFIC estimation

Geografický termín: CHINA

Smart Maritime Transportation-Oriented Ship-Speed Prediction Modeling Using Generative Adversarial Networks and Long Short-Term Memory.

Autori: Chen, Xinqiang Wu, Peishi Zhang, Yajie a ďalší

Zdroj: Journal of Marine Science & Engineering; Jun2025, Vol. 13 Issue 6, p1045, 30p

Predmety: LONG short-term memory, GENERATIVE adversarial networks, SITUATIONAL awareness, AUTOMATIC identification, MEASUREMENT errors

Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models.

Autori: Jurkus, Robertas Venskus, Julius Markevičiūtė, Jurgita a ďalší

Zdroj: Sensors (14248220); Mar2025, Vol. 25 Issue 5, p1365, 26p

Predmety: LONG short-term memory, CARGO ships, MARITIME safety, MARITIME management, CONFIDENCE intervals, COLLISIONS at sea, RECURRENT neural networks, DEEP learning

Characteristics and Prediction of Reservoir Water Quality under the Rainfall-Runoff Impact by Long Short-Term Memory Based Encoder-Decoder Model: Characteristics and Prediction of Reservoir Water Quality under the rainfall-runoff Impact by Long Short-Term Memory Based Encoder-Decoder Model: X. Sheng et al

Autori: Sheng, Xiaodan Tang, Yulan Yue, Shupeng a ďalší

Zdroj: Water Resources Management; Feb2025, Vol. 39 Issue 3, p1281-1299, 19p

Predmety: LONG short-term memory, WATER quality monitoring, EXTREME weather, WATER quality, DATA quality

Optimization of Inbound and Outbound Vessel Scheduling in One-Way Channel Based on Reinforcement Learning.

Autori: Zhen, Rong Sun, Meng Fang, Qionglin

Zdroj: Journal of Marine Science & Engineering; Feb2025, Vol. 13 Issue 2, p237, 20p

Predmety: CHANNELS (Hydraulic engineering), PRODUCTION scheduling, SCHEDULING, PIERS, ALGORITHMS

A comprehensive comparison study between Deep Operator networks neural network and long short-term memory for very short-term prediction of ship motion.

Autori: Zhao, Yong Zhao, Jin-xiu Wang, Zi-zhong a ďalší

Zdroj: Journal of Hydrodynamics; Dec2024, Vol. 36 Issue 6, p1167-1180, 14p

Research on Response Strategies for Inland Waterway Vessel Traffic Risk Based on Cost-Effect Trade-Offs.

Autori: Chen, Yanyi Ye, Ziyang Wang, Tao a ďalší

Zdroj: Journal of Marine Science & Engineering; Sep2024, Vol. 12 Issue 9, p1659, 23p

Predmety: EXTREME weather, INLAND navigation, EMERGENCY management, TRAFFIC accidents, COST effectiveness, TRAFFIC safety

Evaluation of Deep Learning Models for Predicting the Concentration of Air Pollutants in Urban Environments.

Autori: Tello-Leal, Edgar Ramirez-Alcocer, Ulises Manuel Macías-Hernández, Bárbara A. a ďalší

Zdroj: Sustainability (2071-1050); Aug2024, Vol. 16 Issue 16, p7062, 19p

An Improved NSGA-II Algorithm for MASS Autonomous Collision Avoidance under COLREGs.

Autori: Liang, Zuopeng Li, Fusheng Zhou, Shibo

Zdroj: Journal of Marine Science & Engineering; Jul2024, Vol. 12 Issue 7, p1224, 27p

Predmety: CONSTRAINT algorithms, POINT set theory, DECISION making, TREATIES, ALGORITHMS

Bearing Remaining Useful Life Prediction Based on a Scaled Health Indicator and a LSTM Model with Attention Mechanism.

Autori: Gao, Songhao Xiong, Xin Zhou, Yanfei a ďalší

Zdroj: Machines; Oct2021, Vol. 9 Issue 10, p238-238, 1p

Predmety: HEALTH status indicators, BEARINGS (Machinery), ROLLER bearings, ROOT-mean-squares, PHASE space, MARKOV processes, INDUSTRIAL equipment

A Review of Application of Machine Learning in Storm Surge Problems.

Autori: Qin, Yue Su, Changyu Chu, Dongdong a ďalší

Zdroj: Journal of Marine Science & Engineering; Sep2023, Vol. 11 Issue 9, p1729, 35p

Predmety: STORM surges, MACHINE learning, EVIDENCE gaps, MARINE sciences, TRUST, ACQUISITION of data

Deep Learning Architecture for UAV Traffic-Density Prediction.

Autori: Alharbi, Abdulrahman Petrunin, Ivan Panagiotakopoulos, Dimitrios

Zdroj: Drones (2504-446X); Feb2023, Vol. 7 Issue 2, p78, 31p

Human Arm Motion Prediction for Collision Avoidance in a Shared Workspace.

Autori: Zheng, Pu Wieber, Pierre-Brice Baber, Junaid a ďalší

Zdroj: Sensors (14248220); Sep2022, Vol. 22 Issue 18, p6951-N.PAG, 15p

Predmety: SHARED workspaces, INDUSTRIALISM, INDUSTRY 4.0, MOTION detectors, HUMAN beings, PREDICTION models

Efficient high-dimensional variational data assimilation with machine-learned reduced-order models.

Autori: Maulik, Romit Rao, Vishwas Wang, Jiali a ďalší

Zdroj: Geoscientific Model Development; 2022, Vol. 15 Issue 8, p3433-3445, 13p

Predmety: REDUCED-order models, NUMERICAL weather forecasting, AUTOMATIC differentiation, GEOPOTENTIAL height, ARTIFICIAL intelligence, WEATHER forecasting