Results 101 to 110 of about 14,609 (251)

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Adaptive Genomic Divergence Across Altitudes in Capsella bursa‐pastoris

Biological Diversity, EarlyView.
Genomic divergence was observed between high‐altitude and low‐altitude populations of Capsella bursa‐pastoris in China, consistent with an important role of ecological factors. Candidate adaptive loci associated with enhanced energy metabolism, photoprotection, and growth plasticity under altitudinal stress were identified.
Lu Liu, Jia Li, Xin Liu, Xue‐Jun Ge, Hui‐Run Huang   +4 more
wiley   +1 more source

Corporate Decarbonization via Technology and Management

Business Strategy and the Environment, EarlyView.
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran, Rudolf R. Sinkovics, Olli Kuivalainen   +2 more
wiley   +1 more source

A Novel Attention‐Based Layer Pruning Approach for Low‐Complexity Convolutional Neural Networks

Advanced Intelligent Systems
Deep learning (DL) has been very successful for classifying images, detecting targets, and segmenting regions in high‐resolution images such as whole slide histopathology images.
Md. Bipul Hossain, Na Gong, Mohamed Shaban   +2 more
doaj   +1 more source

Novel channel attention-based filter pruning methods for low-complexity semantic segmentation models

Machine Learning with Applications
Semantic segmentation is the area of classifying each pixel in an image using a deep learning model. Examples of widely used semantic segmentation models are the U-Net and DeeplabV3+ models.
Md. Bipul Hossain, Na Gong, Mohamed Shaban   +2 more
doaj   +1 more source

Interface‐Engineered Li–Ni–O/Ni Heterostructures With Tunable Vacancies on Biochar Enable Biomass‐to‐Hydrogen Conversion

Carbon Energy, EarlyView.
This study shows that lithium induces Li–Ni–O/Ni heterostructures on biochar, creating oxygen vacancies and optimal acid–base environments that enhance steam activation and suppress carbon deposition. These interfacial effects and synergistic modulation lead to high hydrogen yields at moderate temperatures, providing a scalable catalyst design strategy
Jiali Guo, Jit Loong Cyrus Foo, Guicai Liu, Liya Ge, Andrei Veksha, Wei Ping Chan, Dean Song, Grzegorz Lisak   +7 more
wiley   +1 more source

Responses of Antarctic seabird populations to past climate change

Ecography, EarlyView.
Higher‐order predators such as Antarctic seabirds serve as ecological indicators of environmental change and provide a crucial trophic link between marine and terrestrial ecosystems. Despite their prevalence and significance in the Antarctic ecosystem, there is a lack of understanding of the impacts of major regime shifts in paleoclimate on flighted ...
Elize Y. X. Ng, Louise Emmerson, Barbara Wienecke, Fabiola León Miranda, Colin Southwell, Juliana A. Vianna, Christopher P. Burridge   +6 more
wiley   +1 more source

Community‐level egg and larval trait interactions with the Amazon River plume determine its role as a dispersal barrier

Ecography, EarlyView.
The Amazon River plume (ARP) functions as a dynamic and porous biogeographic barrier whose permeability to larval dispersal depends on the interplay between species' biological traits and oceanographic processes. Using biophysical modeling combined with a dual analytical framework, namely a multivariate regression tree (MRT) and a generalized additive ...
Ramon B. Santos, Nelson A. Gouveia, Douglas F. M. Gherardi   +2 more
wiley   +1 more source

Efficient CNNs via Passive Filter Pruning

IEEE Transactions on Audio, Speech and Language Processing
Convolutional neural networks (CNNs) have shown state-of-the-art performance in various applications. However, CNNs are resource-hungry due to their requirement of high computational complexity and memory storage. Recent efforts toward achieving computational efficiency in CNNs involve filter pruning methods that eliminate some of the filters in CNNs ...
Arshdeep Singh, Mark D. Plumbley
openaire   +4 more sources

Correlation of polygenic risk score and clinical phenotype in patients with genetic generalized epilepsy

Epilepsia, EarlyView.
Abstract Objective The polygenic risk score (PRS) for individuals with genetic generalized epilepsy (GGE) quantifies the common risk variants in genes identified in genome‐wide association studies. We hypothesized that the phenotype of GGE patients differs based on their GGE PRS. Methods We identified participants with highest (n = 59) versus lowest (n 
Sophie von Brauchitsch, Nils Hartung, Robin A. Karge, Bobby Koeleman, Samuel F. Berkovic, Danielle M. Andrade, Francesca Bisulli, Antonio Gambardella, Renzo Guerrini, Ingrid E. Scheffer, Ingo Helbig, Wolfram S. Kunz, Holger Lerche, Hiltrud Muhle, Christian Boßelmann, Savvas S. Papacostas, Mark I. Rees, Sanjay M. Sisodiya, Pasquale Striano, Lynnette Sadleir, Yvonne Weber, Dennis Lal, Costin Leu, Philipp S. Reif, Stefan Wolking, Felix Rosenow, Karl Martin Klein, for the Epi25 Collaborative   +27 more
wiley   +1 more source