Results 61 to 70 of about 4,796,198 (343)
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2020 An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground.
Liang Wang +5 more
semanticscholar +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
A real‐time decoupling trajectory planning method for on‐road autonomous driving
IET Control Theory & Applications, 2023 Trajectory planning is a core technology for autonomous vehicle directlyreflecting the driving safety and efficiency. In this paper, a spatial‐speed decoupled planning method is studied for real‐time trajectory generation in the on‐road environment.
Yongkang Lu +4 more
doaj +1 more source
Path Planning Trajectories in Fluid Environments [PDF]
2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), 2018 This paper deals with the problem of finding a mission path that minimizes acceleration and drag while a vehicle moves from an initial position to a final target in fluid environments. A variational problem will be formulated in the general context of manifolds, where the energy functional depends on acceleration and drag forces.
Machado, Luís +2 more
openaire +2 more sources
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Molecular Oncology, EarlyView.This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
SensorsAutonomous vehicles are rapidly advancing and have the potential to revolutionize transportation in the future. This paper primarily focuses on vehicle motion trajectory planning algorithms, examining the methods for estimating collision risks based on ...
Taokai Xia, Hui Chen
doaj +1 more source
Cooperative Driving of Automated Vehicles Using B-Splines for Trajectory Planning
IEEE Transactions on Intelligent Vehicles, 2021 Vehicle automation is used to increase traffic throughput and road safety. Automated vehicles should be highly versatile to navigate on both highways and urban roads.
Robbin van Hoek, J. Ploeg, H. Nijmeijer
semanticscholar +1 more source
Molecular Oncology, EarlyView.Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard +12 more
wiley +1 more source
Drones, 2022 Trajectory planning of multiple unmanned aerial vehicles (UAVs) is the basis for them to form the formation flight. By considering trajectory planning of multiple UAVs in formation flight in three-dimensional space, a trajectory planning method in four ...
Jie Zhang +6 more
doaj +1 more source