Results 41 to 50 of about 2,658,467 (271)
Information, 2023 The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents. Accurate ship trajectory prediction can improve the efficiency of navigation and maritime traffic safety.
Xinyu Wang, Yingjie Xiao
doaj +1 more source
Applied Sciences, 2019 There are difficulties in obtaining accurate modeling of ship trajectories with traditional prediction methods. For example, neural networks are prone to falling into local optima and there are a small number of Automatic Identification System (AIS ...
Jiao Liu, Guoyou Shi, Kaige Zhu
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Prediction of Ship Trajectory in Nearby Port Waters Based on Attention Mechanism Model
, 2023 In recent years, the prediction of ship trajectory based on automatic identification system (AIS) data has become an important area of research. Among the existing studies, most focus on a single ship to extract features and train models for trajectory ...
Junhao Jiang, Yi Zuo
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Global wave loads on a damaged ship [PDF]
, 2012 A computational tool was applied based on a two dimensional linear method to predict the hydrodynamic loads for damaged ships. Experimental tests on a ship model have also been carried out to predict the hydrodynamic loads in various design conditions ...
Chan, Hoi-Sang +4 more
core +3 more sources
Applied Sciences, 2023 Vessel trajectory prediction supports navigation services and collision detection. To maintain safety and efficiency in maritime transportation, vessel trajectory prediction is always an important topic.
Yuanben Zhang +8 more
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Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Fzaero/LSTM-Trajectory-Prediction: LSTM Trajectory Prediction Tool
, 2018 <p>LSTM Trajectory Prediction Tool predicts trajectory of lever upped object from given lever up location. While action is being done, it also analyzes current trajectory up to that point and decides on if action was applied to correct lever up ...
Ahmet Tekden
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Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Advanced Science, EarlyView.A deep‐learning‐designed binder is fused to a combinatorial degron to create a binder‐degron chimera (bdC) that recruits the CUL2‐RING ubiquitin ligase complex. Encapsulation in a prostate‐cancer‐targeted, CD47‐camouflaged nanocarrier enables tumor‐specific in situ bdC expression, triggering GPX4 degradation and ferroptosis, thereby establishing a ...
Si‐Han Zhang +8 more
wiley +1 more source
Advanced Science, EarlyView.This work presents a large‐cell‐compatible droplet microfluidic platform that overcomes long‐standing barriers in plant cell culture by enabling high‐fidelity encapsulation, novel multilayer 3D droplet incubation for scalable long‐term culture, and support for the full developmental progression of large plant cells.
Arman Mirmiran +10 more
wiley +1 more source