Results 61 to 70 of about 5,839,842 (237)

ESG Ratings and Firms' Engagement in Global Innovation Ecosystems: Implications for Green Innovation Capacity

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The increasing salience of climate change has intensified attention to the roe of ESG ratings in shaping firms' green innovation. We examine the link between ESG performance and green innovation, highlighting the role of participation in global innovation networks.
Miaomiao Tao, David Roubaud, Mingzhi Zhang, Qianli Ma   +3 more
wiley   +1 more source

Semantic Segmentation of Point Cloud Sequences using Point Transformer v3 [PDF]

Semantic segmentation of point clouds is a basic step for many autonomous systems including automobiles. In autonomous driving systems, LiDAR sensors are frequently used to produce point cloud sequences that allow the system to perceive the environment ...
Sisk, Marion
core   +2 more sources

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

PointGeo: Geometry Transformer for Point Cloud Analysis

CAAI Transactions on Intelligence Technology
Point 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, Pengbo Zhou, Mingquan Zhou, Yong Wang, Guohua Geng, Yangyang Liu   +5 more
doaj   +1 more source

Environmental Transparency Through Digital Transformation: Evidence on Carbon Disclosure Quality From China's Heavy‐Polluting Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The rise of digital transformation (DT) has become an important driver of transparency in corporate environmental disclosure. Whether and how DT is related to the improvement of carbon information disclosure quality, particularly in heavily polluting firms that may have both information and symbolic roles, is still controversial.
Ruixiang Xue, Tze San Ong, Assunta Di Vaio   +2 more
wiley   +1 more source

SemAlign3D: Multi-Dataset Point Cloud Segmentation with Learnable Class Prompts and KNN Multi-Scale Attention

Remote Sensing
Point cloud segmentation is a core technology in remote sensing, enabling the extraction of rich semantic information from complex scenes. Existing methods struggle with semantic inconsistency across multiple heterogeneous datasets in complex urban ...
Xuanhong Bao, Hao Zhang
doaj   +1 more source

Clustering-TinyPointNet for fast large-scale point cloud semantic segmentation

, 2023
Efficient processing of massive point cloud datasets is crucial for achieving fast semantic segmentation in various applications. While PointNet++ has demonstrated excellent performance in point cloud segmentation, its processing speed may not meet the ...
Kerry Walsh (9843221), Zhenglin Wang (9843413), Fariza Sabrina (9832118), Lasitha Piyathilaka (9826991), Yufeng Lin (9813857)   +4 more
core  

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Traffic Scene Semantic Segmentation Enhancement Based on Cylinder3D with Multi-Scale 3D Attention

Sensors
With the rapid development of 3D sensor technology, point cloud semantic segmentation has found widespread applications in autonomous driving, remote sensing, mapping, and industrial manufacturing.
Yun Bai, Xu Zhou, Yuxuan Gong, Yuanhao Huang   +3 more
doaj   +1 more source

Text-Guided Semantic Segmentation Method for Indoor 3D Point Clouds [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Point cloud semantic segmentation of indoor environments is a fundamental task in 3D scene understanding. However, existing methods mainly rely on geometric structures and color information, which are prone to error results in scenarios involving ...
J. Tan, J. Yang, Y. Zhang, S. Li, D. Liu, Z. Wang, X. Zhang   +6 more
doaj   +1 more source