Spatial Image Gradient Estimation From the Diffusion MRI Profile
ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj +4 more
wiley +1 more source
Enhancing the LEACH protocol and lightweight chaotic cryptography for secure data transmission in wireless sensor networks. [PDF]
Zarei M +3 more
europepmc +1 more source
Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll +5 more
wiley +1 more source
Research on an intelligent fan cultural sustainability design method based on CPO-CNN-LSSVM. [PDF]
Cheng K, Skliarenko NV.
europepmc +1 more source
Distilling food web dynamics: top–down and bottom–up drivers of extinction and trophic cascades
Quantifying population dynamics is a fundamental challenge in ecology and evolutionary biology, particularly for species that are cryptic, microscopic, or extinct. Traditional approaches rely on continuous representations of population size, but in many cases, the precise number of individuals is unknowable.
Justin D. Yeakel
wiley +1 more source
Prominence-guided link prediction in fuzzy robotic networks. [PDF]
Jeyakumar DJ +3 more
europepmc +1 more source
Abstract Researchers and policymakers assert competing behavioral models of polluters. One model portrays polluters as best approximated by the perfectly informed, rational actor from economics textbooks. Another model portrays polluters, particularly small and medium facilities, as imperfectly informed, cognitively bounded, pro‐social actors.
Paul J. Ferraro, Jay P. Shimshack
wiley +1 more source
Sustainable EV routing using spectral clustering and fuzzy reinforcement learning with energy constrained A* under mobility index and waiting constraints. [PDF]
P AP, R R.
europepmc +1 more source
Herbaria worldwide hold centuries of plant data that are key to understanding and protecting biodiversity; however, even with increased digital access, differences in plant naming systems make it difficult to compare records. We developed a semi‐automated workflow that standardises species names and organises herbaria records from multiple institutions
Brandon Samuel Whitley +17 more
wiley +1 more source
Fuzzy postprocessing of seasonal climate forecasts for semiarid river basins
Meteorological forecasts from AI‐based fuzzy rule‐based system (FRB) are compared to linear scaling (LS) and quantile mapping (QM). Seasonal forecasts from the Copernicus Climate Change Service (C3S) are considered. Results show that the highest skill is achieved for the FRB approach.
Dariana Isamel Avila‐Velasquez +2 more
wiley +1 more source

