Results 211 to 220 of about 877 (289)

Graph neural network‐based attack prediction for communication‐based train control systems

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao   +3 more
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis   +7 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Belowground effects of ground‐dwelling large herbivores in forest ecosystems

open access: yesJournal of Animal Ecology, EarlyView.
This study reviews how ground‐dwelling large herbivores affect forest soil and litter globally. Effects are context‐dependent, vary among species and forest types, and remain poorly studied in tropical forests, highlighting critical gaps in understanding nutrient cycling and ecosystem functioning.
Letícia Gonçalves Ribeiro   +4 more
wiley   +1 more source

Demographic buffering in natural populations: A multi‐level perspective

open access: yesJournal of Animal Ecology, EarlyView.
We introduce a multi‐level framework that unites stochastic elasticities with nonlinear selection to test demographic buffering. Applying it across mammals reveals a key insight: ecological robustness to variability often decouples from evolutionary constraint, reshaping how we understand resilience under environmental stochasticity.
Gabriel Silva Santos   +4 more
wiley   +1 more source

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