Results 121 to 130 of about 95,777 (258)

High‐throughput information extraction of printed specimen labels from large‐scale digitization of entomological collections using a semi‐automated pipeline

Methods in Ecology and Evolution, EarlyView.
Abstract Natural history museums curate billions of insect specimens, representing an unparalleled record of biodiversity. Although large‐scale digitization has expanded access to specimen images, extracting label metadata remains a major bottleneck, typically requiring time‐intensive manual transcription.
Margot Belot, Joël Tuberosa, Leonardo Preuss, Olha Svezhentseva, Magdalena Claessen, Christian Bölling, Franziska Schuster, Théo Léger   +7 more
wiley   +1 more source

The differences in essential facial areas for impressions between humans and deep learning models: An eye‐tracking and explainable AI approach

British Journal of Psychology, EarlyView.
Abstract This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to
Takanori Sano, Jun Shi, Hideaki Kawabata
wiley   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

Machine Learning Approach Enables Highly Accurate Identification of At‐Risk Metabolic Dysfunction‐Associated Steatohepatitis

Hepatology Research, EarlyView.
ABSTRACT Aim At‐risk metabolic dysfunction‐associated steatohepatitis (MASH), characterized by significant activity and fibrosis, increases the risk of liver complications. Liver stiffness measurement (LSM), commonly used to detect significant fibrosis, has limitations in terms of accessibility and performance in certain populations.
Masaya Sato, Takuma Nakatsuka, Tatsuya Minami, Yotaro Kudo, Rie Irie, Hanako Tsujikawa, Takumi Kawaguchi, Hirokazu Takahashi, Yuichiro Eguchi, Eisuke Murakami, Kazuaki Chayama, Takeshi Okanoue, Michiie Sakamoto, Mitsuhiro Fujishiro, Kazuhiko Koike, Ryosuke Tateishi   +15 more
wiley   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source

Revisiting PSF models: Unifying framework and high‐performance implementation

Journal of Microscopy, EarlyView.
Abstract Localisation microscopy often relies on detailed models of point‐spread functions. For applications such as deconvolution or PSF engineering, accurate models for light propagation in imaging systems with a high numerical aperture are required. Different models have been proposed based on 2D Fourier transforms or 1D Bessel integrals.
Yan Liu, Vasiliki Stergiopoulou, Jonathan Chuah, Eric Bezzam, Gert‐Jan Both, Michael Unser, Daniel Sage, Jonathan Dong   +7 more
wiley   +1 more source

Real-time vehicle control via edge cloud sensor fusion and CNN based perceptron. [PDF]

MethodsX
Chaurasia S, Sanyal P, Kaur G, Barhanpure S, Bhele K, Wable AD, Chaurasia SA, Patil RR, Verma D.   +8 more
europepmc   +1 more source

How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders

Journal of Neuropsychology, EarlyView.
Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola, Maria Esposito, Riccardo Guidotti, Daniele Romano   +3 more
wiley   +1 more source

A lightweight LSTM-based open-set RF fingerprinting identification for edge deployment. [PDF]

Sci Rep
Hu Y, Fu Y, Chen Y.
europepmc   +1 more source

AI Platforms as Cooperation Enablers Favoring the Development of Strategic Situating Capabilities Within Solution Delivery Ecosystems

Journal of Product Innovation Management, EarlyView.
ABSTRACT Academic Summary By integrating artificial intelligence (AI) platforms into their processes, firms aim to enhance their strategic capabilities and gain a competitive advantage. This study investigates the impact of such platforms on value generation within solution‐based strategies, proposing two connected mechanisms.
Yancy Vaillant, Esteban Lafuente, Ferran Vendrell‐Herrero   +2 more
wiley   +1 more source