Results 91 to 100 of about 7,018 (281)
Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation
IEEE AccessAiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point cloud.We propose an edge-enhanced graph convolution point cloud ...
Xiaoyan Zhang, Lin Feng
doaj +1 more source
Archaeological Prospection, EarlyView.ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro +4 more
wiley +1 more source
LESA-Net: Semantic segmentation of multi-type road point clouds in complex agroforestry environment
HeliyonPoint-cloud semantic segmentation is a visual task essential for agricultural robots to comprehend natural agroforestry environments. However, owing to the extremely large amount of point-cloud data in agroforestry environments, learning effective ...
Yijian Duan +8 more
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Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
A survey on weakly supervised 3D point cloud semantic segmentation [PDF]
With the popularity and advancement of 3D point cloud data acquisition technologies and sensors, research into 3D point clouds has made considerable strides based on deep learning.
Yu Liu +3 more
core +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
PointGeo: Geometry Transformer for Point Cloud Analysis
CAAI Transactions on Intelligence TechnologyPoint cloud processing plays a crucial role in tasks such as point cloud classification, partial segmentation and semantic segmentation. However, existing processing frameworks are constrained by several challenges, such as recognising features in ...
Li An +5 more
doaj +1 more source
A Review on Point Cloud Semantic Segmentation Methods [PDF]
, 2018 Semantic segmentation of 3D point clouds is an open research problem and remains crucial for autonomous driving, robot navigation, human-computer interaction, 3D reconstruction and many others.
Pryczek, Michał, Lazarek, Jagoda
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Business Strategy and the Environment, EarlyView.ABSTRACT The transition to a circular economy (CE) has become a strategic priority for firms, yet empirical assessments of corporate circularity remain fragmented and heavily dependent on structured indicators or self‐reported metrics. This paper proposes a novel, text‐based circularity index derived from mandatory non‐financial statements of large ...
Giuseppe Pernagallo +2 more
wiley +1 more source