Results 191 to 200 of about 92,002 (247)

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Assessing ChatGPT for taxonomic and floristic studies

Nordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym, Olena Kozak, Ahmet Emre Yaprak, Alan Elliott, Pedro Bond Schwartsburd, Karime Abidkulova, Anna Voytsekhovich, Olena Danylevska   +7 more
wiley   +1 more source

Epistemic diversity and the politics of knowledge in plant disease management: Insights from the Xylella fastidiosa epidemic in southern Italy

PLANTS, PEOPLE, PLANET, EarlyView.
Xylella fastidiosa is a major plant pathogen affecting crops such as grapes, citrus, almonds, and olives, with potentially severe consequences for agricultural production and rural livelihoods worldwide. This paper examines the conflict around the management of the X. fastidiosa outbreak affecting olive trees in southern Italy.
Fabio Gatti, David Ludwig, Phil Macnaghten   +2 more
wiley   +1 more source

A Case of Functional Movement Disorder Preceding Right Temporal Predominant Frontotemporal Degeneration

Movement Disorders Clinical Practice, EarlyView.
Isis So, Aditya Murgai, Elizabeth C. Finger, Miguel Restrepo‐Martinez   +3 more
wiley   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Cognitive reserve and longitudinal changes in brain and cognition in semantic variant primary progressive aphasia. [PDF]

Alzheimers Dement
Grebe LA, Morin BT, Pillai J, Baquirin DPG, Ratnasiri B, Bogley R, Ezzes Z, Wauters LD, Mandelli ML, Miller ZA, Tee BL, de Leon J, Casaletto KB, Rosen HJ, Gorno Tempini ML, Galletta EE, Goral M, Vonk JMJ.   +17 more
europepmc   +1 more source