Results 81 to 90 of about 78,586 (297)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Towards a Wearer-Centred Framework for Animal Biotelemetry [PDF]

open access: yes, 2016
The emerging discipline of Animal-Computer Interaction (ACI) aims to understand the relation between animals and technology in naturalistic settings, to design technology that can support animals in different contexts and to develop user-centred research
Mancini, Clara   +2 more
core  

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary   +1 more
wiley   +1 more source

Highly Pathogenic Avian Influenza Virus (H5N1) Infection in Red Foxes Fed Infected Bird Carcasses

open access: yesEmerging Infectious Diseases, 2008
Eating infected wild birds may put wild carnivores at high risk for infection with highly pathogenic avian influenza (HPAI) virus (H5N1). To determine whether red foxes (Vulpes vulpes) are susceptible to infection with HPAI virus (H5N1), we infected 3 ...
Leslie A. Reperant   +6 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

Host-specific vascular endothelial cell responses to Angiostrongylus vasorum: a comparative in vitro study in red foxes (Vulpes vulpes) and domestic dogs

open access: yesFrontiers in Cellular and Infection Microbiology
IntroductionCanine angiostrongylosis, caused by Angiostrongylus vasorum, affects dogs and red foxes, with dogs developing cardiopulmonary and coagulation disorders, while foxes remain mostly subclinical.MethodsThis study examined aortic endothelial cell ...
Belinda Eisenhut   +4 more
doaj   +1 more source

Anterior Pituitary Transcriptome Suggests Differences in ACTH Release in Tame and Aggressive Foxes

open access: yesG3: Genes, Genomes, Genetics, 2018
Domesticated species exhibit a suite of behavioral, endocrinological, and morphological changes referred to as “domestication syndrome.” These changes may include a reduction in reactivity of the hypothalamic-pituitary-adrenal (HPA) axis and specifically
Jessica P. Hekman   +11 more
doaj   +1 more source

Spartan Daily May 10, 2011 [PDF]

open access: yes, 2011
Volume 136, Issue 52https://scholarworks.sjsu.edu/spartandaily/1159/thumbnail ...
San Jose State University, School of Journalism and Mass Communications
core   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera   +2 more
wiley   +1 more source

The effect of top predator removal on the distribution of a mesocarnivore and nest survival of an endangered shorebird

open access: yesAvian Conservation and Ecology, 2021
For trophic systems regulated by top-down processes, top carnivores may determine species composition of lower trophic levels. Removal of top predators could therefore cause a shift in community composition.
Michelle L. Stantial   +4 more
doaj  

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