Results 41 to 50 of about 255 (88)
Analysis of the Weight Function for Implicit Moving Least Squares Techniques [PDF]
In this thesis, I analyze the weight functions used in moving least squares (MLS) methods to construct implicit surfaces that interpolate or approximate polygon soup.
Yao, Zhujun
core
Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley +1 more source
Host‐tree identity, particularly bark physico‐chemical traits, emerged as the dominant driver of epiphytic lichen and bryophyte community composition in this closed‐canopy temperate forest system, while microclimate plays a subordinate role. Spatial structure and proximity contributed additional effects for both groups, but for lichens, habitat ...
Theresa Möller +2 more
wiley +1 more source
A Survey of Surface Reconstruction from Point Clouds [PDF]
International audienceThe area of surface reconstruction has seen substantial progress in the past two decades. The traditional problem addressed by surface reconstruction is to recover the digital representation of a physical shape that has been scanned,
Alliez, Pierre +7 more
core +4 more sources
Meshless IEFGM‐Based Numerical Modeling of Grounding Systems With Counterpoise Wires
ABSTRACT This paper presents a comprehensive numerical analysis of a counterpoise grounding wire subjected to low‐frequency surge currents, employing the Interpolating Element‐Free Galerkin Method (IEFGM). The analysis involves significant challenges arising from the high ratio between the conductor length and its radius—which demands fine spatial ...
Ursula C. Resende +2 more
wiley +1 more source
The development of a full probabilistic risk assessment model for quantifying the life safety risk in buildings in case of fire [PDF]
In het kader van dit onderzoek is een probabilistisch model ontwikkeld dat het brandveiligheidsniveau van een gebouwontwerp kan kwantificeren en dit berekende veiligheidsniveau kan evalueren aan de hand van een vooraf gedefinieerd aanvaardbaar ...
Van Weyenberge, Bart
core +1 more source
Abstract In storm surge (SS) simulation, data‐driven methods can establish the relationship between predictor variables and the predictand, enabling long‐term SS level reconstructions. Here, using the U.S. East Coast as an example, we explored the capabilities of four machine learning algorithms, namely Artificial Neural Networks (ANN), Long Short‐Term
Qi Feng +3 more
wiley +1 more source
Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments [PDF]
In the field of precise agriculture with autonomous unmanned aerial vehicles (UAVs), the utilization of drones holds significant potential to transform crop monitoring, management, and harvesting techniques. However, despite the numerous benefits of UAVs
Grande, Davide +3 more
core
Recent vegetation shifts in the French Alps with winners outnumbering losers
Analysing 11 million records of 4250 French Alps plant species over 30 years shows that one‐third expanded their range, dominated by thermophilic and fast‐colonizing species, while 13% declined. Most species showed little response, with potential shifts lagging behind climate change. Our study deepens our understanding of the complex dynamics of recent
Romain Goury +8 more
wiley +1 more source
An efficient and trajectory-free active learning method is proposed to automatically sample data points for constructing globally accurate reactive potential energy surfaces (PESs) using neural networks (NNs).
Jiang, Bin +3 more
core +1 more source

