Assessing Policy‐Oriented Learning About Climate‐Related Forest Disturbances in Europe
ABSTRACT European forests provide multiple ecosystem services but are increasingly under pressure from climate‐related disturbances such as droughts, storms and insect calamities. Forest policy is an important driver for the adaptation of forest management practices to climate change.
Pascal Renaud‐Bernath +8 more
wiley +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Improved graph-based model for phishing website detection using multi-level web page graphs and dynamic heterogeneous graph attention network. [PDF]
Kavya S, Sumathi D.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Efficient Gan-Based Adversarial Example Generation Against Ml-Based Network Intrusion Detection Systems [PDF]
In the realm of network security, Network Intrusion Detection Systems (NIDS) are essential for identifying and mitigating malicious activities targeting networked devices.
Hartono, Darren D
core
Adversarial Machine Learning in Industrial IoT: A Systematic Review of Attack Realism, Defense Trade-Offs, and Deployment Gaps. [PDF]
Alsaidlani A, Rashid M, Aljabri M.
europepmc +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
AI-Driven Problem Solving for Cyber-Physical Systems Security: An Assessment Framework. [PDF]
Kulothungan V +3 more
europepmc +1 more source
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan +5 more
wiley +1 more source
The Evolving Security of the Internet of Vehicles: A Survey from Classical Machine Learning to Large Language Models, Adversarial Robustness, and Explainable AI. [PDF]
Sani MS, Iranmanesh S, Raad R.
europepmc +1 more source

