Results 161 to 170 of about 256,437 (324)
Behavior and mortality of anurans on roads in the Australian tropics
The Journal of Wildlife Management, EarlyView.Roads are a major source of mortality for wildlife, particularly amphibians. Identifying vulnerable species and understanding any behavioral predictors of mortality helps us understand vulnerability to traffic and can inform management strategies. We investigated a 9‐species anuran community in tropical Australia with respect to 3 behavioral responses ...
Christa Beckmann +2 more
wiley +1 more source
Journal of Measurement Science and Instrumentation, 2019 Building segmentation from high-resolution synthetic aperture radar（SAR） images has always been one of the important research issues. Due to the existence of speckle noise and multipath effect, the pixel values change drastically, causing the large ...
QIAN Qian +4 more
doaj
Land Degradation &Development, EarlyView.ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite +2 more
wiley +1 more source
BMC Medical ImagingBackground Segmenting liver vessels from contrast-enhanced computed tomography images is essential for diagnosing liver diseases, planning surgeries and delivering radiotherapy.
Wen Chen +5 more
doaj +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Coherent Markov Random Field-Based Unreliable DSM Areas Segmentation and Hierarchical Adaptive Surface Fitting for InSAR DEM Reconstruction. [PDF]
Sensors (Basel), 2020 Qian Q, Wang B, Hu X, Xiang M.
europepmc +1 more source
High Relative Accuracy Computations With Covariance Matrices of Order Statistics
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz +3 more
wiley +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong +6 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source