Results 51 to 60 of about 4,796,198 (343)

Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations

Drones
Aiming at the trajectory planning problem for heterogeneous UAV formations in complex environments, a trajectory prediction model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTM) is designed, and a real-time ...
Weichen Qian, Wenjun Yi, Shusen Yuan, Jun Guan   +3 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments

Remote Sensing, 2023
Unmanned combat aerial vehicle (UCAV) trajectory planning to avoid radar detection threats is a complicated optimization problem that has been widely studied.
Jiantao Li, Tianxian Zhang, Kai Liu
doaj   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker, Sarah W. Alexander, Lisa M. Jacola, Kimberly A. Buff, Kyobin Hwang, Elham Hashemi, Gregory Stoddard, Lindsay A. Jibb   +7 more
wiley   +1 more source

Time-Optimal Trajectory Planning for Delta Robot Based on Quintic Pythagorean-Hodograph Curves

IEEE Access, 2018
In this paper, a time-optimal trajectory planning method based on quintic PythagoreanHodograph (PH) curves is proposed to realize the smooth and stable high-speed operation of the Delta parallel robot. The trajectory is determined by applying the quintic
Tingting Su, Long Cheng, Yunkuan Wang, Xu Liang, Jun Zheng, Haojian Zhang   +5 more
doaj   +1 more source

Optimal turning trajectory planning of an LHD based on a bidimensional search

工程科学学报, 2021
To solve the problem of smooth turning of an autonomous underground load-haul-dump loader (LHD), in this paper, a method for turning trajectory planning of an LHD was proposed.
Qing GU, Li LIU, Guo-xing BAI, Yu MENG
doaj   +1 more source

Continuous-Curvature Trajectory Planning

Journal of Automation, Mobile Robotics and Intelligent Systems, 2021
Continuous‐curvature paths play an important role in the area of driving robots: as vehicles usually cannot changethe steering angle in zero‐time, real trajectories must not have discontinuities in the curvature profile. Typical continuous‐curvature paths are thus built of straight lines, arcs and clothoids.
openaire   +2 more sources

Aircraft trajectory planning under wind uncertainties [PDF]

2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 2016
Wind optimal trajectory planning is a critical issue for airlines in order to save fuel for all their flights. This planning is difficult due to the uncertainties linked to wind data. Based on the current weather situation, weather forecast institutes compute wind maps prediction with a given level of confidence. Usually, 30-50 wind maps prediction can
Legrand, Karim, Puechmorel, Stéphane, Delahaye, Daniel, Zhu, Yao   +3 more
openaire   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

Multimodal trajectory optimization for motion planning [PDF]

The International Journal of Robotics Research, 2020
Existing motion planning methods often have two drawbacks: (1) goal configurations need to be specified by a user, and (2) only a single solution is generated under a given condition. In practice, multiple possible goal configurations exist to achieve a task.
openaire   +2 more sources