Results 81 to 90 of about 7,782 (241)
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet +8 more
wiley +1 more source
As the extinction risk of plants increases globally, there is need to prioritize areas with high floristic richness and diversity to inform the design of evidence-based conservation interventions.
Samuel Ojelel +3 more
doaj +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Índices ecológicos de la macrofauna edáfica en cinco de pastizales de la provincia Granma, Cuba
Objective: To determine the ecological indexes of the edaphic macrofauna in five agroecosystems of grasslands in Granma province, Cuba. Materials and Methods: Sampling was carried out twice a year: rainy and dry season, from July, 2014 to March, 2017 ...
Licet Chávez-Suárez +2 more
doaj
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
Predicting equity market price impact with performance weighted ensembles of random forests [PDF]
For many players in financial markets, the price impact of their trading activity represents a large proportion of their transaction costs. This paper proposes a novel machine learning method for predicting the price impact of order book events ...
Enrico Gerding +5 more
core +1 more source
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Diversidad y estructura de especies leñosas en dos condiciones de selva mediana subperennifolia en Escárcega, Campeche [PDF]
"Los ecosistemas tropicales son una parte muy importante en la riqueza, abundancia y diversidad de especies que representa a nivel mundial. Por ello se realizó el presente trabajo con el objetivo de determinar y compara la composición florística, la ...
García Jiménez, Luis Enrique
core
Abstract Premise Changing climates are leading to more frequent and severe heat waves, potentially threatening plant populations. Both acclimation to stress and selection for heat‐escape or heat‐resistance phenotypes occur during heat waves. However, plastic responses and selection do not necessarily interact cohesively—even producing trait responses ...
Lana F. Gaspard +4 more
wiley +1 more source

