Results 101 to 110 of about 20,764 (282)
Statistical shape modeling of the human inner ear through micro‐computed tomography imaging
The Anatomical Record, EarlyView.In this study, 54 cadaveric temporal bone specimens underwent high‐resolution micro‐CT imaging. Images were semi‐automatically segmented and converted to 3D surface mesh models for morphological measurement and analysis. Statistical shape models were created for the inner ear, cochlea, and vestibular system, as well as for sex‐ and side‐based subgroups.
Carmine Spedaliere +8 more
wiley +1 more source
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data [PDF]
, 2019 Connected vehicle and driver's assistance applications are greatly facilitated by Enhanced Digital Maps (EDMs) that represent roadway features (e.g., lane edges or centerlines, stop bars).
Barth, Matthew +5 more
core +1 more source
The Anatomical Record, EarlyView.Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz +5 more
wiley +1 more source
Crop row centerline extraction method based on regional feature point clustering
Smart Agricultural TechnologyTo address the issues of low accuracy and high processing time in traditional machine vision methods for crop row detection due to varying crop types, growth backgrounds, and changes in the number of crop rows, this study proposes a crop row centerline ...
Baofeng Ji +7 more
doaj +1 more source
Remote Sensing, 2015 This study proposed a natural-rule-based-connection (NRBC) method to connect river segments after water body detection from remotely sensed imagery. A complete river network is important for many hydrological applications.
Chuiqing Zeng +3 more
doaj +1 more source
DEEP FULLY RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR SEMANTIC IMAGE SEGMENTATION [PDF]
, 2018 Department of Computer Science and EngineeringThe goal of semantic image segmentation is to partition the pixels of an image into semantically meaningful parts and classifying those parts according to a predefined label set.
Tousi, Ali
core
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Retracted: Detection of 3D Arterial Centerline Extraction in Spiral CT Coronary Angiography. [PDF]
J Healthc Eng, 2023 Healthcare Engineering JO.
europepmc +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract NOx emissions from gas boilers severely impact the environment, and flue gas recirculation (FGR) technology can effectively reduce such emissions, yet the effects of different FGR rates on combustion performance and NOx formation remain unclear. This study thus used numerical simulation (via ANSYS Fluent, adopting the realizable k‐ε turbulence
Chao Min +3 more
wiley +1 more source
Prior skeleton based online deep reinforcement learning for coronary artery centerline extraction. [PDF]
Proc Inst Mech Eng H, 2023 Fu Z +6 more
europepmc +1 more source