Results 151 to 160 of about 224,342 (242)

A Wildlife Multi‐Modal Recognition Method Based on Infrared Camera Images Using MWAC

Integrative Zoology, EarlyView.
A multimodal wild wildlife classification model MWAC consists of two parts:(1) Wavelet KAN module (WDS‐KAN) for image feature extraction, and (2) Label Correlated Text Extraction module (LC‐BERT) for text feature extraction. ABSTRACT Nowadays, infrared camera technology has become an important tool for large‐scale monitoring and assessment of wildlife ...
Siming Deng, Guoxiong Zhou, Genhua Liu, Zhishu Xiao, Xiaoqun Huang, Yang Hu, Ling Gui   +6 more
wiley   +1 more source

Comparative Efficiency of eDNA, Camera Traps and Scat Surveys to Detect a Semi‐Aquatic Mammal Across Multiple Catchments

Animal Conservation, EarlyView.
Monitoring semi‐aquatic mammals is essential for their conservation, but it is made difficult by their elusive lifestyle and generally low abundance. Eurasian otter (Lutra lutra) monitoring has traditionally relied on scat surveys, but eDNA and camera‐trapping are emerging as promising alternatives.
Simon Lacombe, Sébastien Devillard, Louise D'Hollande, Yann Raulet, Vincent Sablain, Louis Barbu, Geoffrey Didier, Raphaël Mathevet, Claude Miaud, Clément Oyon, Eve le Pommelet, Sébastien Richarte, Serge Rouvière, Alice Valentini, Nathalie Vazzoler‐Antoine, Olivier Gimenez   +15 more
wiley   +1 more source

Inter‐eye microvascular asymmetry across stages of diabetic retinopathy: An OCT angiography study

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate inter‐eye asymmetry in macular microvascular parameters across different stages of diabetic retinopathy (DR) using OCT angiography, and to explore the associations with clinical factors. Methods This cross sectional study included 442 eyes of 221 patients with diabetes mellitus type 2. Central subfield thickness (CST), area
Stela Vujosevic, Sema Tamer Kaderli, Gabriele Piccoli, Elena Tagliabue, Camilla Alovisi, Vanda Bucceri, Emanuele Torti, Elisa Marenzi, Dogukan Ozen, Livio Luzi, Paolo Nucci   +10 more
wiley   +1 more source

RIFT: A Fractal-Holographic Theory of Consciousness and Autopoietic Control. [PDF]

Brain Sci
Bieberich E.
europepmc   +1 more source

Longitudinal progression of retinal nonperfusion in clinically stable diabetic retinopathy

Acta Ophthalmologica, EarlyView.
Abstract Purpose To longitudinally assess and quantify changes in retinal nonperfusion (NP) in clinically stable diabetic retinopathy (DR) using ultra‐widefield fluorescein angiography (UWF‐FA) and optical coherence tomography angiography (OCTA). Methods Fifty‐one eyes from thirty‐three patients were followed for a mean of 15.9 ± 11.4 months.
Stela Vujosevic, Sofia Ginelli, Alessandra Cernuschi, Celeste Limoli, Gabriele Piccoli, Elena Tagliabue, Emanuele Torti, Paolo Nucci, Paolo S. Silva   +8 more
wiley   +1 more source

Correcting Axial Length‐Related Magnification Errors in Optical Coherence Tomography Angiography Improves Machine Learning Classification Performance in High Myopia

Clinical &Experimental Ophthalmology, EarlyView.
ABSTRACT Background To determine whether axial length‐related magnification correction in optical coherence tomography angiography (OCTA) improves machine learning classification of high myopia and resolves inconsistencies in the values and discriminatory power of OCTA microvascular metrics.
Danuta M. Sampson, Mila Yue Zhang, Hemn Baghban Jaldian, Madeleine S. Torcasso, Gavrielle R. Untracht, Jocelyn J. Drinkwater, Mei Zhao, David D. Sampson, Andrew Lam, Fred K. Chen   +9 more
wiley   +1 more source

Fractional-order analysis and optimal control of the NERA model: stability, sensitivity, and numerical validation. [PDF]

Sci Rep
Pandey A, Ghosh S.
europepmc   +1 more source

SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps

Computer Graphics Forum, EarlyView.
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley   +1 more source

Controlling worm propagation in wireless sensor networks: Through fractal-fractional mathematical perspectives. [PDF]

PLoS One
Shah MI, Hassan EI, Ali A, Muhyi A, Ahmed WE, Aldwoah K.   +5 more
europepmc   +1 more source

Does Digitalization Widen Labor Income Inequality?

International Economic Review, EarlyView.
ABSTRACT We develop a growth model that endogenizes the occupational choice of workers with different ability levels to study how digitalization affects labor income inequality. The framework incorporates digitalization's multifaceted effects on the economy: (i) it influences economic growth through automation, and (ii) it affects labor income ...
Jilei Huang, Yi Sun, Jian Wang, Liyan Yang   +3 more
wiley   +1 more source