Results 101 to 110 of about 1,823 (241)
Geographic Classification of Social Bees Using Automated Wing Pattern Analysis
We present an end‐to‐end deep learning framework for automated geographic classification of honey bee populations based on wing morphology. A dataset of 1040 wing images from seven regions was analyzed using four CNN architectures with transfer learning.
Emine Dilara Çavuş, Cansu Özge Tozkar
wiley +1 more source
Causality-Aware Training of Physics-Informed Neural Networks for Solving Inverse Problems
Inverse Physics-Informed Neural Networks (inverse PINNs) offer a robust framework for solving inverse problems governed by partial differential equations (PDEs), particularly in scenarios with limited or noisy data. However, conventional inverse PINNs do
Jaeseung Kim, Hwijae Son
doaj +1 more source
Inverse boundary-value problems: Elliptic equations
AbstractInverse, or identification, problems are currently receiving a great deal of attention in virtually all scientific disciplines. Most of the work done so far has dealt with systems governed by ordinary differential equations. This paper points out that the methods most commonly used for these problems are not suitable for inverse problems ...
openaire +2 more sources
Here, we used a unique 37‐year (1969–2006) freshwater macroinvertebrate time‐series, collected over seven sites in central Germany, to study biodiversity patterns and species accumulation over time. Accumulation curves of Diptera diversity have not reached a plateau in 37 years of sampling.
Nathan Jay Baker +10 more
wiley +1 more source
ABSTRACT Background Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 and CLOCK in multiple myeloma (MM) remain insufficiently defined. Methods BMAL1 and CLOCK mRNA expression was quantified by RT‐qPCR in bone marrow samples from 46 newly diagnosed MM patients and 13 ...
Hamide Albayrak +6 more
wiley +1 more source
Abstract Patagonian toothfish (Dissostichus eleginoides) are a long‐lived, slow‐growing deep‐sea species endemic to the Southern Hemisphere and the focus of longline fisheries managed to ensure sustainable exploitation. Managing the fisheries relies on accurate stock assessments that include pertinent biological and exploitation processes.
Jessica E. Marsh +4 more
wiley +1 more source
Dynamic capital allocation in general insurance
Abstract This paper provides a model for allocating capital to different insurance lines with varying development periods for a value‐maximizing insurance company. In our model, the company makes capitalization and exposure decisions considering its capital level and its relevant loss history.
Qiheng Guo +2 more
wiley +1 more source
Moving Aggregate Modified Autoregressive Copula‐Based Time Series Models (MAGMAR‐Copulas)
ABSTRACT Copula‐based time series models can model univariate and stationary time series in a flexible way by decomposing the joint distribution of consecutive observations into a copula and the stationary distribution. Implicitly, this approach assumes a finite Markov order. In reality, a time series may not follow the Markov property.
Sven Pappert
wiley +1 more source
In this study we tested the effects of insularity on amphibian colouration using the fire salamander as a model system. Although increased melanism was not a consistent pattern across all islands, salamanders from one island exhibited higher proportions of black pigmentation than mainland populations, while insular populations overall showed reduced ...
L. Alarcón‐Ríos +2 more
wiley +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri +2 more
wiley +1 more source

