Results 101 to 110 of about 20,298 (224)

Tradable performance standards for a greener transportation sector: an economists’ appraisal of the German greenhouse gas mitigation quota

Energy, Sustainability and Society
Background The greenhouse gas (GHG) mitigation quota is a unique instrument in Europe that redistributes money from high emission to low emission fuel markets while forcing fuel distributors to reduce the average emissions of their fuels.
Constanze Liepold, Paul Fabianek, Reinhard Madlener   +2 more
doaj   +1 more source

Rhododendron diversity patterns provide new insights for conserving China's montane flora

Journal of Integrative Plant Biology, EarlyView.
Integrating distribution, phylogenetic, and functional trait data for 603 Rhododendron species in China identified significant conservation hotspots of multidimensional diversity, particularly in the Hengduan Mountains. Climate seasonality and topographic heterogeneity jointly influenced these patterns; however, notable conservation gaps remained ...
Ming‐Shu Zhu, Zhi‐Qiong Mo, Ya‐Yuang Luo, Chao‐Nan Fu, Ting Zhang, Michael Möller, Jie Cai, Wei Zheng, De‐Zhu Li, Lian‐Ming Gao   +9 more
wiley   +1 more source

Comparison of the SegNet, FCN and U-Net approaches.

, 2019
Comparison of the SegNet, FCN and U-Net approaches.
Xu Ma (45624), Long Qi (1537096), Yu Jiang (234328), Xupo Xing (6103962), Yuwei Wang (178411), Xiangwu Deng (6612770), Hongwei Li (17402)   +6 more
core   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, Volume 13, Issue 49, 3 September 2026.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Multi-Scale Bidirectional FCN for Object Skeleton Extraction

, 2018
Object skeleton detection is a challenging problem with wide application. Recently, deep Convolutional Neural Networks (CNNs) have substantially improved the performance of the state-of-the-art in this task.
Cheng, Hong, Chen, Leiting, Yang, Fan, Li, Jianping, Guo, Yuxiao, Li, Xin   +5 more
core   +1 more source

Integrated Metabolomics and Machine Learning Reveal Drying‐Dependent Phenolic Markers in Asteraceae Edible Plants From Ulleungdo Island

Food Science &Nutrition, Volume 14, Issue 9, September 2026.
Three edible Asteraceae plants (Cirsium nipponicum, Solidago virgaurea, and Aster pseudoglehnii) from Ulleungdo Island, Korea, were processed by freeze‐drying or traditional blanching and sun‐drying. Untargeted UHPLC–HRMS metabolomics (110 features) combined with targeted quantification of 33 phenolic compounds revealed distinct drying‐induced ...
In Young Lee, Doo‐Hee Lee, Ju Hong Park, Nami Joo   +3 more
wiley   +1 more source

Test accuracy for a range of epoch values in three FCN models.

, 2022
Test accuracy for a range of epoch values in three FCN models.
Norasyikin Fadilah (14266029), David. J. Mulvaney (14266023), Muhammad Salihin Saealal (14266017), Mohd Ibrahim Shapiai (14266026), Mohd Zamri Ibrahim (14266020)   +4 more
core   +1 more source

Diagnostic Accuracy of Artificial Intelligence Models for Detecting Odontogenic Keratocytes on CBCT Imaging: A Systematic Review and Meta‐Analysis

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Differentiating odontogenic keratocyst (OKC) from other radiolucent jaw lesions like ameloblastoma is clinically important but radiographically difficult. Recent advances in artificial intelligence (AI) show promise for enhancing diagnosis using cone‐beam computed tomography (CBCT).
Reyhaneh Shoorgashti, Simin Lesan, Sarah Sadat Ehsani, Asma Yazdanfar   +3 more
wiley   +1 more source

Finite element method for FCN, Common Lisp.

, 2021
# FSE-2.1 Compute Free Core Nutation of the Earth by the Multiple Layter Galerkin method. version 2.1 This project is to Compute Free Core Nutation of the Earth by the Multiple Layter Galerkin method. This is second version.
Zhang Mian
core   +1 more source