Results 141 to 150 of about 4,210,592 (370)
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Advanced Functional Materials, EarlyView.Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source
PlantsGrape (Vitis vinifera) is a popular fruit with a rich color, favorable taste, and high nutritional quality. The formation of the color of its berries is primarily determined by anthocyanin composition and concentration.
Zaozhu Niu +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu +3 more
wiley +1 more source
Landscape-Scale Mixtures of Tree Species are More Effective than Stand-Scale Mixtures for Biodiversity of Vascular Plants, Bryophytes and Lichens [PDF]
, 2019 Steffi Heinrichs +11 more
openalex +1 more source
Predicting the upper stem diameters and volume of a tropical dominant tree species [PDF]
, 2022 Sunita Ulak +7 more
openalex +1 more source
TREE: Tree Regularization for Efficient Execution
The rise of machine learning methods on heavily resource constrained devices requires not only the choice of a suitable model architecture for the target platform, but also the optimization of the chosen model with regard to execution time consumption for inference in order to optimally utilize the available resources. Random forests and decision trees
Schmid, Lena +6 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications [PDF]
, 2019 Jaime Giménez-Gallego +5 more
openalex +1 more source
Advanced Functional Materials, EarlyView.A single cell type Electro‐chromo‐emissive (ECECL) device integrating synchronized electrochromic (EC) and electrochemiluminescent (ECL) functions is developed using a mixed ionic‐electronic conductor (MIEC). A MIEC layer reduces ionic/electronic resistance, enabling ultrafast switching and enhanced optical contrast.
Hwandong Jang +5 more
wiley +1 more source