Results 51 to 60 of about 34,023 (303)

Adas Bouquet [PDF]

open access: yes, 1980
Quilt pattern from the Linda Lowe Quilt Patterns Collection titled Adas Bouquet.https://scholarworks.moreheadstate.edu/lowe_quilt_patterns/1003/thumbnail ...
Lowe, Linda
core  

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

open access: yesAdvanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So   +5 more
wiley   +1 more source

Distributed and parallel Ada and the Ada 9X recommendations [PDF]

open access: yesDistributed Systems Engineering, 1994
Recently, the DoD has sponsored work towards a new version of Ada, intended to support the construction of distributed systems. The revised version, often called Ada 9X, will become the new standard sometimes in the 1990s. It is intended that Ada 9X should provide language features giving limited support for distributed system construction.
Richard A. Volz   +4 more
openaire   +1 more source

Advanced driver assistance systems from autonomous to cooperative approach [PDF]

open access: yes, 2008
Advanced Driver Assistance Systems (ADAS) have been one of the most active areas of ITS studies in the last two decades. ADAS aim to support drivers by either providing warning to reduce risk exposures, or automating some of the control tasks to relieve ...
Piao, J., McDonald, M.
core   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Angular misalignment estimation for driver assistance and autonomous systems sensors

open access: yesФизика волновых процессов и радиотехнические системы
Background. The accuracy of object detection and distance measurement in advanced driver assistance systems(ADAS) and autonomous vehicles critically depends on precise sensor alignment. Even minor angular deviations in radar and LiDAR orientation, caused
Sergei V. Shishanov, Dmitry V. Tyurin
doaj   +1 more source

Vehicle Control in ADAS Applications

open access: yes, 2015
Publisher Copyright: © 2016 John Wiley & Sons, Ltd. All rights reserved.The aim of the advanced driver assistance systems (ADAS) is mainly linked to aid drivers in safety critical situations rather than to replace them.
Milanés, Vicente   +5 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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