Results 141 to 150 of about 65,450 (292)
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera +2 more
wiley +1 more source
Centripetal Intensive Deep Hashing for Remote Sensing Image Retrieval
With the breakthrough of convolutional neural networks, deep hashing methods have demonstrated remarkable performance in large-scale image retrieval tasks. However, existing deep supervised hashing methods, which rely on pairwise or triplet labels, typically learn the hash function via random or hardest sample mining within training batches.
Weigang Wang +4 more
openaire +2 more sources
The rapid adoption of environmental DNA (eDNA) methods has drastically changed biodiversity monitoring efforts. It is often claimed that eDNA methods are more sensitive and efficient than conventional biodiversity monitoring methods, but it is often unclear what metrics support this claim.
Nicholas J. Iacaruso +4 more
wiley +1 more source
Executive functions and self‐limited epilepsy with centro‐temporal spikes: A scoping review
Abstract Executive functions are a set of high‐level cognitive processes necessary for planning, organization, decision‐making, self‐control, and attention, and are carried out in the anterior frontal lobes. An impairment in executive functioning might present as difficulties in planning and organizing activities, in attention and concentration, in ...
Edoardo Fino +6 more
wiley +1 more source
Abstract Discussing sudden unexpected death in epilepsy (SUDEP) is difficult and sensitive for health care providers (HCPs), people with epilepsy (PwE), and caregivers. This scoping review examines the literature on SUDEP communication, focusing on need, timing, content, methods, facilitators, barriers, and outcomes. We performed a thematic analysis to
Amir Aschner +5 more
wiley +1 more source
Out of the lab, into real life: Evaluating at‐home EEG self‐monitoring
Abstract Seizure forecasting models require long‐term, high‐quality data collected in real‐life settings using noninvasive or minimally invasive devices, yet, the lack of such systems remains a major barrier to their clinical translation. Here, we aimed to evaluate the signal quality of self‐applied at‐home EEG monitoring using a wearable system in ...
Louis Cousyn +7 more
wiley +1 more source
With the speedy advancement of Convolutional Neural Networks (CNNs), deep hashing is extremely significant in remote sensing image retrieval scenarios due to the low storage cost and quick searching speed.
Xinzheng Sui +3 more
doaj +1 more source
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley +1 more source
A multi‐material and dual‐stimulus coupled actuation micro‐gear (MDCAMG) is developed via femtosecond‐laser 3D printing combined with magnetic nanoparticle absorption, enabling integrated environmental sensing and remote actuation at the microscale. The device incorporates a pH‐responsive hydrogel matrix for autonomous swelling/shrinking and a magnetic
Sida Peng, Shengzhi Sun, Jian Li, Yi Zhu
wiley +1 more source
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source

