Results 1 to 10 of about 3,676 (100)
Renal Failure, 2023 Acute kidney injury (AKI) is associated with impaired outcomes in critically ill COVID-19 patients. However, the prognostic significance of early AKI is poorly described. We aimed to determine whether AKI on admission to the intensive care unit (ICU) and
Michal Sitina +3 more
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Massively parallelizing the RRT and the RRT [PDF]
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011 In recent years, the growth of the computational power available in the Central Processing Units (CPUs) of consumer computers has tapered significantly. At the same time, growth in the computational power available in the Graphics Processing Units (GPUs) has remained strong.
Karaman, Sertac +2 more
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External quality assessment of COVID-19 real time reverse transcription PCR laboratories in India.
PLoS ONE, 2022 Sudden emergence and rapid spread of COVID-19 created an inevitable need for expansion of the COVID-19 laboratory testing network across the world. The strategy to test-track-treat was advocated for quick detection and containment of the disease.
Harmanmeet Kaur +16 more
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The Association Between Laboratory Biomarkers and Clinical Features in COVID-19 Pneumonia: A Potential Tool for Predicting Disease Prognosis and Severity [PDF]
Research in Molecular Medicine, 2023 Background: The COVID-19 pandemic has rapidly spread and remained poorly understood by clinicians. The present work aimed to study the association between laboratory biomarkers, prognosis, and disease severity.
Hossein Jalali +4 more
doaj
2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 n ...
Chonhyon Park +2 more
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Blind RRT: A probabilistically complete distributed RRT [PDF]
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013 Rapidly-Exploring Random Trees (RRTs) have been successful at finding feasible solutions for many types of problems. With motion planning becoming more computationally demanding, we turn to parallel motion planning for efficient solutions. Existing work on distributed RRTs has been limited by the overhead that global communication requires.
Cesar Rodriguez +4 more
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RRT*-SMART: A Rapid Convergence Implementation of RRT* [PDF]
International Journal of Advanced Robotic Systems, 2013 Many sampling based algorithms have been introduced recently. Among them Rapidly Exploring Random Tree (RRT) is one of the quickest and the most efficient obstacle free path finding algorithm. Although it ensures probabilistic completeness, it cannot guarantee finding the most optimal path. Rapidly Exploring Random Tree Star (RRT*), a recently proposed
Nasir, Jauwairia +6 more
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NPQ‐RRT ∗: An Improved RRT ∗ Approach to Hybrid Path Planning [PDF]
Complexity, 2021 In recent years, the path planning of robot has been a hot research direction, and multirobot formation has practical application prospect in our life. This article proposes a hybrid path planning algorithm applied to robot formation. The improved Rapidly Exploring Random Trees algorithm PQ‐RRT ∗ with new distance evaluation function is used as a ...
Zihan Yu, Linying Xiang
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RRT and RRT* Using Vehicle Dynamics
CoRR, 2022 The trajectory derived from RRT and RRT* is zagged. A holonomic drive is able to follow this trajectory. But real-life vehicle which has dynamical constraints cannot follow this trajectory. In this work, we are going to modify the RRT and RRT* algorithm to generate a trajectory that a vehicle with dynamical constraint can follow.
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Revisiting the Asymptotic Optimality of RRT [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 RRT* is one of the most widely used sampling-based algorithms for asymptotically-optimal motion planning. This algorithm laid the foundations for optimality in motion planning as a whole, and inspired the development of numerous new algorithms in the field, many of which build upon RRT* itself.
Kiril Solovey +4 more
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