Results 61 to 70 of about 23,429,950 (320)
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Patterns, 2020 With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making, and control for autonomous systems have improved significantly in recent years.
Chongzhen Zhang +7 more
doaj +1 more source
Model Predictive Control of Parabolic PDE Systems under Chance Constraints
Mathematics, 2023 Model predictive control (MPC) heavily relies on the accuracy of the system model. Nevertheless, process models naturally contain random parameters. To derive a reliable solution, it is necessary to design a stochastic MPC.
Ruslan Voropai, Abebe Geletu, Pu Li
doaj +1 more source
Time-Varying Gaussian Process Bandit Optimization [PDF]
, 2016 We consider the sequential Bayesian optimization problem with bandit feedback, adopting a formulation that allows for the reward function to vary with time. We model the reward function using a Gaussian process whose evolution obeys a simple Markov model.
Bogunovic, Ilija +2 more
core +1 more source
Life cycle assessment (LCA) applied to the process industry: a review [PDF]
, 2011 Purpose : Life cycle assessment (LCA) methodology is a well-established analytical method to quantify environmental impacts, which has been mainly applied to products. However, recent literature would suggest that it has also the potential as an analysis
Jacquemin, Leslie +2 more
core +6 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
CLF3D: A Coarse-Labeling Framework to Facilitate 3D Object Detection in Point Clouds
IEEE AccessTremendous scenarios have to be considered for autonomous driving, leading to extremely large amount of point cloud data which need to be labeled for model training. Manually labeling such data is labor-intensive and highly expensive.
Nuo Cheng +5 more
doaj +1 more source
, 2017 Numerical simulation of complex optical structures enables their optimization with respect to specific objectives. Often, optimization is done by multiple successive parameter scans, which are time consuming and computationally expensive.
Burger, S. +3 more
core +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Sensors, 2019 AC arc faults are one of the most important causes of residential electrical wiring fires, which may produce extremely high temperatures and easily ignite surrounding combustible materials.
Kai Yang +4 more
doaj +1 more source
Optimization of Process Parameters in WEDM by using Taguchi Method [PDF]
, 2016 This research represents the parametric optimization of Wire EDM on machining die steel DC53. The objective of the present work was to investigate the effects of the various Wire EDM process parameters using Taguchi on the machining quality and to obtain
Ahlawat, A. (Amit) +3 more
core