Results 181 to 190 of about 79,092 (294)

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

open access: yesResponsive 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   +8 more
wiley   +1 more source

A Turing Test for artificial nets devoted to vision. [PDF]

open access: yesFront Artif Intell
Vila-Tomás J   +4 more
europepmc   +1 more source

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

open access: yesRemote 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   +3 more
wiley   +1 more source

Tourism Labor Market and the Attainment of the 2030 Agenda for Sustainable Development Goals: Pending Challenges, Ongoing Opportunities and More Responsible and Inclusive Scientific Research for the Advancement of the Tourism Industry

open access: yesSustainable Development, EarlyView.
ABSTRACT Concerning human resources, research in the tourism sector has traditionally focused on a personnel‐managerial perspective rather than a labor market‐condition analysis per se, limiting the examination of its unique working ecosystem and distinct socioeconomic particularities. This has evidenced an apparent thematic research gap in the tourism
Maria Jesus Vazquez‐Garcia   +2 more
wiley   +1 more source

Hybrid Multiphoton Lithography Scaffolds for Nanoscale Mechanobiological Assessment in Microscale Bone Models

open access: yesSmall, EarlyView.
This work presents a 3D hybrid tissue scaffold inspired by bone, incorporating collagen, fabricated using multiphoton lithography. The mechanical properties of collagen are tunable, and biodegradation allows for time‐dependent changes in geometry. The results demonstrate enhanced osteogenic differentiation of stem cells in our hybrid scaffolds.
Christoph Naderer   +7 more
wiley   +1 more source

Quantifying Population Reversibility of Sensor Performance in Multi‐Cycle Single‐Sensor Recovery Assay

open access: yesSmall, EarlyView.
Single‐walled carbon nanotubes (SWCNTs) are versatile optical nanosensors that can be imaged at the single‐sensor level to map biological processes. To translate such imaging into calibrated measurements, sensor recovery under repeated analyte exposures must be analyzed.
Geffen Rosenberg, Gili Bisker
wiley   +1 more source

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