Results 121 to 130 of about 5,678 (254)

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Transformation‐Equivariant Network Fused With Multi‐Stage Cascade Attention for Point Cloud Object Detection

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Object detection of unmanned firefighting vehicles faces challenges such as strong electromagnetic interference, drastic lighting changes and dynamic object variations. To address these issues, we propose a two‐stage 3D point cloud object detection algorithm called TED‐CasA‐Fusion.
Jiangdong Wu, Qun Chao, Yintai Wang, Hongyuan Sun, Tengfei Zhang, Chengliang Liu   +5 more
wiley   +1 more source

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, EarlyView.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Internal physiological drivers of leaf development in trees: Understanding the relationship between non‐structural carbohydrates and leaf phenology

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Plant phenology is crucial for understanding plant growth and climate feedback. It affects canopy structure, surface albedo, and carbon and water fluxes. While the influence of environmental factors on phenology is well‐documented, the role of plant intrinsic factors ...
Yunpeng Luo, Constantin Zohner, Thomas W. Crowther, Jianlan Feng, Günter Hoch, Peng Li, Andrew D. Richardson, Yann Vitasse, Arthur Gessler   +8 more
wiley   +1 more source

Development of Piezoelectrically Driven Quasi-Static 2D MEMS Mirrors with Extremely Large FoV for Scanning LiDARs

Proceedings
In this paper, a piezoelectrically driven quasi-static MEMS mirror is developed for a scanning LiDAR system. Finite element method (FEM) simulations are used to optimize the design of the MEMS scanner.
Paul Raschdorf, Jeong-Yeon Hwang, Lena Wysocki, Lianzhi Wen, Jörg Albers, Gunnar Wille, Erdem Yarar, Shanshan Gu-Stoppel   +7 more
doaj   +1 more source

A novel approach for distinguishing noise and information in forest MLS‐point clouds

Methods in Ecology and Evolution, EarlyView.
Abstract 3D laser scanning is a cornerstone of modern forest and ecological research, allowing detailed insight into forest structures and dynamics. Although point cloud processing and noise management are crucial steps in the exploitation of LiDAR data, traditional denoising methods are usually based on the assumption of a Gaussian noise distribution,
Marie‐Eve Charlebois, Pascal Rochon, Philippe Nolet   +2 more
wiley   +1 more source

COPIS: A robust and versatile robotic imaging system for the 3D digitization of natural history specimens with photogrammetry

Methods in Ecology and Evolution, EarlyView.
Abstract Ecologists and evolutionary biologists are increasingly turning to 3D models to use in scientific research. Natural history museums are one of the primary sources for specimens used as 3D models, and efforts are underway to digitize their collections using methods like photogrammetry.
Jeremy D. Pustilnik, Genevieve S. Rios
wiley   +1 more source

Ceramic Production and Geodiversity in Iron Age Iberia: An Archaeometric Study of Pottery from Castrejón de Capote (SW Spain)

Archaeometry, EarlyView.
ABSTRACT The hillfort of Castrejón de Capote is one of the best investigated settlements of Late Iron Age southwest Iberia. Located in the territory that the classical sources attributed to the Celtici, it was occupied between the early 4th and the 1st centuries bce.
Beatrijs de Groot, Luis Berrocal‐Rangel, Manuel Fernández‐Götz   +2 more
wiley   +1 more source