Domain adaptation with contrastive learning for object detection in satellite imagery

D Biswas, J Tešić - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
State-of-the-art (SOTA) object detection methods applied to satellite and drone imagery
largely fail to identify cross-domain small and dense objects. The high content variability in …

[PDF][PDF] The Road Ahead: Emerging Trends, Unresolved Issues, and Concluding Remarks in Generative AI—A Comprehensive Review

S Balasubramaniam, V Chirchi, S Kadry… - … Journal of Intelligent …, 2024 - researchgate.net
Te field of generative artificial intelligence (AI) is experiencing rapid advancements,
impacting a multitude of sectors, from computer vision to healthcare. Tis paper provides a …

Leveraging machine learning for cybersecurity resilience in industry 4.0: Challenges and future directions

J Yu, AV Shvetsov, SH Alsamhi - IEEE Access, 2024 - ieeexplore.ieee.org
Industry 4.0, where the convergence of digital technology impacts industrial operations and
processes, is characterized by cybersecurity resilience. Therefore, in Industry 4.0, Machine …

Fuzzy Neural Logic Reasoning for Robust Classification

G Lin, Y Zhang - ACM Transactions on Knowledge Discovery from Data, 2025 - dl.acm.org
The efficacy of neural networks is widely recognized across a multitude of machine learning
tasks, yet their black-box nature impedes the understanding of their decision-making …

Rolling in the deep of cognitive and AI biases

A Vakali, N Tantalaki - ar** to solve
some of the many ethical issues that are posed by AI. Understanding the uncertainties can …