Results 141 to 150 of about 202,272 (316)
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Catch allocation in a shared fishery with a minimally managed recreational sector [PDF]
A prevalent problem in shared fisheries is competition between commercial and recreational fishers for access to a resource that is subject to increasing utilisation pressure. For most shared fisheries in New Zealand, the commercial sector is efficiently
McLeod, Paul, Lindner, Robert K.
core +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Policies for promoting technological catch up: a post-Washington approach [PDF]
This paper analyzes the evolution of policies for technology catch-up through three periods: the import substitution period, the (augmented) Washington Consensus period and the post-Washington period.
Radošević, S.
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
BY-CATCH COMPOSITION OF SMALL-SCALE SHRIMP TRAWLERS IN THE PERSIAN GULF (HORMUZGAN PROVINCE), IRAN
Fishing vessels equipped with bottom trawls cause high amount of by-catch and discards. We investigated the catch composition and by-catch percentage in October -November 2002 during shrimp fishing season in Hormuzgan Province waters.
T. valinasab; Gh. Zarshenas; M. Fatemi; M. Otobideh
doaj
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source

