Results 241 to 250 of about 22,224 (372)
EcoEnergy, EarlyView.As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
A dataset to train intrusion detection systems based on machine learning models for electrical substations. [PDF]
Data BriefGutiérrez Mlot ED +4 more
europepmc +1 more source
Enabling a Circular Water Transition: Identifying Governance Pathways for Wastewater Reuse
Environmental Policy and Governance, EarlyView.ABSTRACT Over 80% of the world's wastewater is discharged untreated, making reuse a widely underutilised strategy for addressing water scarcity. Due to the complexity of implementing water reuse systems, supportive governance conditions are required to steer this process and overcome barriers.
Kirsty Holstead +4 more
wiley +1 more source
PromptGuard a structured framework for injection resilient language models. [PDF]
Sci RepAlzahrani A.
europepmc +1 more source
Fuzz testing molecular representation using deep variational anomaly generation
Victor H. R. Nogueira +3 more
openalex +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Fuzzing Enterprise-Grade Blockchain Systems: Industrial Practice and Solutions
Fuchen Ma +5 more
openalex +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source