Results 171 to 180 of about 107,198 (316)
Adversarial Attacks on Supervised Energy-Based Anomaly Detection in Clean Water Systems
Critical National Infrastructure includes large networks such as telecommunications, transportation, health services, police, nuclear power plants, and utilities like clean water, gas, and electricity.
Maglaras, Leandros +7 more
core +1 more source
Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems
Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine Learning models used in a cloud data ...
Vähäkainu, Petri +2 more
core
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling [PDF]
We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN), which generates 3D objects from a probabilistic space by leveraging recent advances in volumetric convo-lutional networks and ...
Wu, Jiajun +4 more
core
Abstract This article presents findings from an Australian study investigating the practices of middle leaders responsible for facilitating school development. Despite middle leaders being increasingly recognised as essential in the development of teaching and learning in schools, middle leadership remains under‐researched and comparatively overlooked ...
Peter Grootenboer +3 more
wiley +1 more source
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley +1 more source
ABSTRACT With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive
Miao Su +3 more
wiley +1 more source
Vulnerabilities in Maximum Entropy Inverse Reinforcement Learning under Adversarial Demonstrations
Reinforcement Learning (RL) has emerged as a powerful paradigm for solving complex sequential decision-making problems. However, its effectiveness is fundamentally dependent on the availability of a well-specified reward function, the design of which is ...
Alipanah, Arezoo
core
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu +4 more
wiley +1 more source
reservedIn recent years, there have been significant advancements in the field of Deep Learning and also in that of Remote Sensing (RS) technologies. RS image recognition models based on deep convolution neural networks outperform traditional hand-craft ...
MATTELIGH, ELISA
core

