Results 91 to 100 of about 2,212,969 (308)
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Uni-RS: A Spatially Faithful Unified Understanding and Generation Model for Remote Sensing
CoRRUnified remote sensing multimodal models exhibit a pronounced spatial reversal curse: Although they can accurately recognize and describe object locations in images, they often fail to faithfully execute the same spatial relations during text-to-image generation, where such relations constitute core semantic information in remote sensing.
Weiyu Zhang, Yuan Hu, Yong Li, Yu Liu
openaire +3 more sources
Acknowledgement to Reviewers of Remote Sensing in 2014
, 2015 The editors of the Remote Sensing office would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...
Remote Sensing Editorial Office
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Programming Actuation in 3D‐Printed Micro‐Architectures via Interfacial Adhesion Control
Advanced Materials Technologies, EarlyView.A two‐phase meniscus‐guided 3D printing method directly fabricates microscale poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(vinyl alcohol) (PVA) bilayers with in situ programmable interfaces. Modulating the meniscus stretching speed switches the interface between separated and bonded states, which controls the mechanical ...
Xiao Huan +13 more
wiley +1 more source
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks
CoRRRemote sensing lightweight foundation models have achieved notable success in online perception within remote sensing. However, their capabilities are restricted to performing online inference solely based on their own observations and models, thus lacking a comprehensive understanding of large-scale remote sensing scenarios.
Zhechao Wang +8 more
openaire +3 more sources
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
Advanced Robotics Research, EarlyView.An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
Preliminary Detection of Geothermal Manifestation Potential Using Microwave Satellite Remote Sensing [PDF]
, 2018 The satellite technology has developed significantly. The sensors of remote sensing satellites are in the form of optical, Microwave, and LIDAR. These sensors can be used for energy and mineral resources applications.
Nugroho, Udhi Catur +3 more
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Advanced Science, EarlyView.A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
Hepatology, EarlyView., 2022 Natural history of liver disease in a large international cohort of children with Alagille syndrome: Results from the GALA study. Abstract Background and Aims Alagille syndrome (ALGS) is a multisystem disorder, characterized by cholestasis. Existing outcome data are largely derived from tertiary centers, and real‐world data are lacking.
Shannon M. Vandriel +93 more
wiley +1 more source
Advanced Science, EarlyView.Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source