Results 131 to 140 of about 160,235 (299)
Adversarial Examples for Captcha Generation Adversarial Machine Learning for Social Good
Chen Hajaj, Meir Litman
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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
Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack [PDF]
Edward Raff +3 more
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Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning [PDF]
Lucas Fenaux +2 more
openalex +1 more source
Privacy Risks of Securing Machine Learning Models against Adversarial Examples [PDF]
Liwei Song, Reza Shokri, Prateek Mittal
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ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley +1 more source
Multi-source Stable Variable Importance Measure via Adversarial Machine Learning [PDF]
Zitao Wang +3 more
openalex +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source

