Results 131 to 140 of about 40,939 (264)

A Bioregional Approach to Teaching Sustainability and Resilience Online

open access: yesNew Directions for Teaching and Learning, EarlyView.
ABSTRACT This chapter describes how the first graduate program in resilient and sustainable communities has evolved over the past decade, maintaining its bioregional approach to distance learning while adapting the curriculum to meet new challenges in the age of climate change.
Laird Christensen
wiley   +1 more source

Virtual Exchange as a Strategy to Foster Global Learning and Internationalization of the Curriculum

open access: yesNew Directions for Teaching and Learning, EarlyView.
ABSTRACT This chapter describes the constitution and development of one of the first institutional initiatives for implementing a virtual exchange program in a Higher Education Institution in Brazil. The focus is on the description and discussion of the role of stakeholders in fostering and supporting virtual exchange activities, as well as examples of
Ana Cristina Biondo Salomão   +1 more
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim   +4 more
wiley   +1 more source

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang   +8 more
wiley   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

open access: yesEnergy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy