Results 71 to 80 of about 16,932 (278)

Macroalgae and eelgrass mapping in Great Bay Estuary using AISA hyperspectral imagery [PDF]

, 2008
Increase in nitrogen concentration and declining eelgrass beds in Great Bay Estuary have been observed in the last decades. These two parameters are clear indicators of the impending problems for NH’s estuaries.
Brook, Anna, Mathieson, Arthur C., Morrison, J. Ru, Pe\u27eri, Shachak, Short, Frederick T., Trowbridge, Philip   +5 more
core   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Hyperspectral Neural Radiance Fields

Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spatial and spectral information while also mitigating common HSI challenges such as non-Lambertian surfaces ...
Chen, Gerry, Narayanan, Sunil Kumar, Ottou, Thomas Gautier, Missaoui, Benjamin, Muriki, Harsh, Pradalier, Cédric, Chen, Yongsheng   +6 more
openaire   +2 more sources

Reinforcement Learning with Neural Radiance Fields

, 2022
It is a long-standing problem to find effective representations for training reinforcement learning (RL) agents. This paper demonstrates that learning state representations with supervision from Neural Radiance Fields (NeRFs) can improve the performance of RL compared to other learned representations or even low-dimensional, hand-engineered state ...
Driess, Danny, Schubert, Ingmar, Florence, Pete, Li, Yunzhu, Toussaint, Marc   +4 more
openaire   +2 more sources

Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture

Advanced Intelligent Systems
Accurate reconstruction of plant models for phenotyping analysis is critical for optimizing sustainable agricultural practices in precision agriculture.
Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang   +5 more
doaj   +1 more source

Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

Plant Phenomics
We evaluate different Neural Radiance Field (NeRF) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields.
Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy   +7 more
doaj   +1 more source

Evaluating the utility of multispectral information in delineating the areal extent of precipitation [PDF]

, 2009
Data from geosynchronous Earth-orbiting (GEO) satellites equipped with visible (VIS) and infrared (IR) scanners are commonly used in rain retrieval algorithms.
Behrangi, A, Hsu, KL, Imam, B, Kuligowski, RJ, Sorooshian, S   +4 more
core   +1 more source

Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges

Advanced Functional Materials, EarlyView.
Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley   +1 more source

Bio‐Inspired Magnetically Tunable Structural Colors from Elliptical Self‐Assembled Block Copolymer Microparticles

Advanced Functional Materials, EarlyView.
Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta, Simone Bertucci, Jose Mendoza‐Carreño, Agustín Mihi, Paola Lova, Davide Comoretto, Ullrich Steiner, Marco Lattuada, Andrea Dodero   +8 more
wiley   +1 more source

Automatic Removal of Non-Architectural Elements in 3D Models of Historic Buildings with Language Embedded Radiance Fields

Heritage
Neural radiance fields have emerged as a dominant paradigm for creating complex 3D environments incorporating synthetic novel views. However, 3D object removal applications utilizing neural radiance fields have lagged behind in effectiveness ...
Alexander Rusnak, Bryan G. Pantoja-Rosero, Frédéric Kaplan, Katrin Beyer   +3 more
doaj   +1 more source