Results 221 to 230 of about 14,798 (256)
AI‐Based Autonomous Sailboat Navigation: A Review
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina +6 more
wiley +1 more source
A Risk Manager for Intrusion Tolerant Systems: Enhancing HAL 9000 With New Scoring and Data Sources
ABSTRACT Background Intrusion Tolerant Systems (ITS) aim to maintain system security despite adversarial presence by limiting the impact of successful attacks. Current ITS risk managers rely heavily on public databases like NVD and Exploit DB, which suffer from long delays in vulnerability evaluation, reducing system responsiveness. Objective This work
Tadeu Freitas +6 more
wiley +1 more source
Computational Explorations of Enzymes That Catalyze Ambimodal [4 + 2]/[6 + 4] Cycloadditions
This work summarizes the known examples enzyme catalyzed ambimodal [4 + 2]/[6 + 4] cycloadditions, as well as recent advances in computational methods for the study of post‐transition state bifurcations. ABSTRACT Ambimodal transition states (TSs) lead to two or more products via post‐transition state bifurcations (PTSB).
Qingyang Zhou +3 more
wiley +1 more source
High Resolution Seismic Waveform Generation Using Denoising Diffusion
Abstract Accurate prediction and synthesis of seismic waveforms are crucial for seismic‐hazard assessment and earthquake‐resistant infrastructure design. Existing prediction methods, such as ground‐motion models and physics‐based wavefield simulations, often fail to capture the full complexity of seismic wavefields, particularly at higher frequencies ...
Kadek Hendrawan Palgunadi +7 more
wiley +1 more source
Artificial Intelligence in Australian Dental and General Healthcare: A Scoping Review
ABSTRACT This review contextualises the role of generative Artificial Intelligence (AI) in healthcare within an Australian healthcare regulatory and ethical framework. Four online databases (PubMed, Scopus, CINAHL and Web of Science) were searched for peer‐reviewed publications that addressed at least two of the three topics: (1) the current ...
Arosha T. Weerakoon +2 more
wiley +1 more source
Survey on AI Ethics: A Socio‐Technical Perspective
Abstract The past decade has observed a significant advancement in AI, with deep learning‐based models being deployed in diverse scenarios, including safety‐critical applications. As these AI systems become deeply embedded in our societal infrastructure, the repercussions of their decisions and actions have significant consequences, making the ethical ...
Dave Mbiazi +5 more
wiley +1 more source
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Summary In recent years, reinforcement learning (RL) has acquired a prominent position in health‐related sequential decision‐making problems, gaining traction as a valuable tool for delivering adaptive interventions (AIs). However, in part due to a poor synergy between the methodological and the applied communities, its real‐life application is still ...
Nina Deliu +2 more
wiley +1 more source
How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?
Gougeh RA.
europepmc +1 more source
Adversarial attacks on medical machine learning. [PDF]
Finlayson SG +5 more
europepmc +1 more source

