.... However, it is important to note that while such augmentation can improve precision, it does not guarantee the elimination of measure abnormalities (Baybura et al., 2019). When the measured outliers exceed certain thresholds, the KF-based estimation may yield questionable results. artificial...

.... machine learning exploration maneuver reinforcement learning ship marine science maneuvering simulation model-based reinforcement trajectory artificial intelligence dataset simulation ann journal identification algorithm technology denote ocean engineering threshold disturbance...

..., this study provides new insights and research methods for revealing the mechanism of fish movement. neural network swimming particle artificial intelligence fish swimming data reconstruction image segmentation contour deep learning information experiment threshold vortice zebrafish...

... image with scale m×n in the image model, is the standard (d) Target detection. The system uses the target detection network based deviation of noise, then its global threshold is: on YOLO_v5m_SPP to return the category and position information of the target in the image, including coordinate, width...

... liquified natural gas (lng) tank threshold dnv probability assumption classification guideline experiment operation long-term approach seoul national university exceedance probability assessment kim sloshing load contribution marine structure convergence ABSTRACT...

... resonance vortex intensity engineering magnitude subsea system applied ocean research ocean engineering liquified natural gas (lng) vortice instantaneous vortex intensity threshold journal proceedings faltinsen flume floating production systems dissipation entrance experiment...

... temperature will become respectively +2K (°C) and +4K (°C) warmer than the preindustrial climate. Also, this is simulated under six different sea surface temperature conditions in each of the future scenarios. storm surge anomaly scenario tokyo ise bay cyclone simulation threshold sst storm...

... intelligence threshold cavitation erosion processing technique united states government video erosion image processing binary image information europe government procedure high-speed video variation bubble size cavitation propeller algorithm international symposium blade root cavitation...

... ABSTRACT The flooding of San Marco square (Venice, IT) during high tide is not entirely prevented by the Mo.S.E. system: in fact, the elevation Marciano quay (the quay in front of S. Marco square) is just at the safeguard threshold guaranteed by the Mo.S.E., the highest accepted water level...

... marine transportation machine learning recognition rate artificial intelligence ship structure neural network characteristic signal structure characteristic signal freight & logistics services threshold ship structure characteristic signal neuron signal data frequency threshold...

... return level threshold excess renewable energy caribbean threshold gpd analysis maxima reanalysis data return level plot sustainable development sustainability jamaica estimate 95 extreme value analysis threshold value gpd model wind speed value analysis wave height extreme value...

...-threshold (POT) and block maxima method (BMM) are applied to extract local maxima, which are then fitted using a threeparameter Weibull distribution. The average conditional exceedance rate (ACER) method and the Gumbel method are applied and compared with the above method. INTRODUCTION Offshore wind...

... by artificial intelligence models like support vector machines, radial basis function, genetic programming and group method of data handling. A prediction model of BP neural network is proposed for the pipeline scour depth in this paper, which weights and thresholds of the BP neural network were optimized...

... hpht well detection threshold annular pressure drilling south china sea sensor artificial intelligence overflow well-log data hthp well parameter characterization monitoring accuracy big data overflow monitoring upstream oil & gas fusion method feature extraction method data...

... measurements of ocean surface waves match fairly with the measurements from the radar. Preliminary results from full-scale field tests of the Wave Mapper are presented. platform instrument dataset ocean wave radar threshold lidar system coastal engineering north sea lidar equipment lidar...

... generate the worst case load scenario. Choosing a slightly lower H s and T p may result in a steeper sea-state that is strongly governed by wave breaking. crest speed threshold evolution equation criteria elevation prediction simulation steepness reduction crest artificial...

... threshold to eliminate redundant path nodes. The simulation result shows that the optimization can effectively reduce the way-points of the path, avoid frequent course changing for ships, get the way-points and courses, and the result of route planning can be applied to nautical practice directly, which...

... ABSTRACT The peak over threshold (POT) method and the generalized Pareto distribution (GPD) model are studied based on 22-year hindcasted wave data. The initial data are divided into many groups with the fixed time interval to ensure the independence of the maximal value within every group...

... to the sample mean; however, it does not necessarily describe the distribution's tail correctly. threshold stability plot gaussian distribution estimation credible interval random variable machine learning scale parameter probability mean residual life plot extreme value threshold...

... with operational data can be found in a recent review of the authors (Tautz-Weinert and Watson, 2016a). turbine operational data normal behaviour computational effort detection wind energy neuron farm replacement threshold wind turbine condition algorithm machine learning configuration scada...