Results 41 to 50 of about 6,292,535 (287)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
NEAT-MAPPO-Based Value Function Optimization Algorithm for Space Orbital Games
IEEE AccessMulti-Agent Deep Reinforcement Learning in space orbital games encounters dual challenges arising from high-dimensional continuous state spaces and highly dynamic reactive adversarial environments (which are inherently non-stationary from the perspective
Ying Zhang +7 more
doaj +1 more source
Process control of mAb production using multi-actor proximal policy optimization
Digital Chemical Engineering, 2023 Monoclonal antibodies (mAb) are biopharmaceutical products that improve human immunity. In this work, we propose a multi-actor proximal policy optimization-based reinforcement learning (RL) for the control of mAb production. Here, manipulated variable is
Nikita Gupta +5 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Distillation Strategies for Proximal Policy Optimization
CoRR, 2019 Vision-based deep reinforcement learning (RL) typically obtains performance benefit by using high capacity and relatively large convolutional neural networks (CNN). However, a large network leads to higher inference costs (power, latency, silicon area, MAC count). Many inference optimizations have been developed for CNNs.
Sam Green +2 more
openaire +3 more sources
Digital Twin-Empowered Robotic Arm Control: An Integrated PPO and Fuzzy PID Approach
MathematicsWith rapid advancements in digital twin technology within the Industrial Internet of Things, integrating digital twins with industrial robotic arms presents a promising direction.
Yuhao Cen +7 more
doaj +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Proximal Policy Optimization with Relative Pearson Divergence [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 6 pages, 5 figures (accepted for ICRA2021)
openaire +3 more sources
Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning [PDF]
Journal of Artificial Intelligence and System ModellingMyocarditis poses a significant health threat, often leading to severe outcomes such as heart failure or death. While endomyocardial biopsy (EMB) is a reliable diagnostic method, its invasive nature limits its use to severe cases.
Asadi Srinivasulu, Sivaram Rajeyyagari
doaj +1 more source
Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Advanced Robotics Research, EarlyView.Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source