Results 121 to 130 of about 83,974 (281)

A dramaturgy of uncertainty: Transdisciplinary manoeuvres across forestry and theatre

People and Nature, EarlyView.
Abstract The uncertainties of climate change mean that forestry adaptation strategies are often complex and contested. Research has suggested that there is an interest in the forestry sector for facilitated dialogue about uncertainty (de Pellegrin Llorente et al., 2023).
Rachel Clive, Deirdre Heddon, Jordan Rydlewski, David Edwards, Chris Fremantle   +4 more
wiley   +1 more source

Intelligent Fault Diagnosis Across-Datasets Based on Second-Level Sequencing Meta-Learning for Small Samples

IEEE Access
Mechanical equipment functioning in intricate surroundings is prone to malfunctions, which can lead to accidents and significant financial losses. A key component of machinery health management, fault diagnosis creates a connection between equipment ...
Ouyang Chengda, Noramalina Abdullah
doaj   +1 more source

Demonstration and offset augmented meta reinforcement learning with sparse rewards

Complex & Intelligent Systems
This paper introduces DOAMRL, a novel meta-reinforcement learning (meta-RL) method that extends the Model-Agnostic Meta-Learning (MAML) framework. The method addresses a key limitation of existing meta-RL approaches, which struggle to effectively use ...
Haorui Li, Jiaqi Liang, Xiaoxuan Wang, Chengzhi Jiang, Linjing Li, Daniel Zeng   +5 more
doaj   +1 more source

Multidimensional Scaling of the Cognitive Assessment System‐Second Edition: Implications for the Structural Validity of PASS Theory and Its Application in School Psychology

Psychology in the Schools, EarlyView.
ABSTRACT This study applied multidimensional scaling (MDS) to the Cognitive Assessment System‐Second Edition (CAS2) to investigate the structural validity of PASS theory (Planning, Attention, Simultaneous, Successive) across two age groups (5−7, 8−18 years) in the normative sample (N = 1342).
Ryan J. McGill
wiley   +1 more source

Meta-RL Based Micro-Expression Recognition Framework Using MAML with Calibrated Regression Function

International Journal of Computational Intelligence Systems
Micro-Expression Recognition (MER) plays a crucial role in understanding human emotions, yet its effectiveness is often hindered by the transient and subtle nature of micro-expressions.
N Shwetha, Aravind Jadhav, Chandra Singh, Virupaxi B.Dalal, N Sangeetha, Bhaskar Awadhiya, Yashwanth Nanjappa, Y Rangaswamy   +7 more
doaj   +1 more source

Federated Neural Architecture Search with Model-Agnostic Meta Learning

Federated Learning (FL) often struggles with data heterogeneity due to the naturally uneven distribution of user data across devices. Federated Neural Architecture Search (NAS) enables collaborative search for optimal model architectures tailored to heterogeneous data to achieve higher accuracy.
Huang, Xinyuan, Gao, Jiechao
openaire   +2 more sources

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

“There Are Places Full of Beauty”: Desettling High School Students' Scientific Writing

Science Education, EarlyView.
ABSTRACT This study contributes to desettling and expanding expectations about the forms of scientific language that belong in students' scientific writing. The primary empirical focus is the analysis of 52 high school student abstracts articulating community‐based investigations, submitted as part of their participation in a student conference in a ...
Alejandra Frausto Aceves
wiley   +1 more source

Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach

Energies
Despite the rapid expansion of smart grids and large volumes of data at the individual consumer level, there are still various cases where adequate data collection to train accurate load forecasting models is challenging or even impossible.
Georgios Tsoumplekas, Christos Athanasiadis, Dimitrios I. Doukas, Antonios Chrysopoulos, Pericles Mitkas   +4 more
doaj   +1 more source

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

Sustainable Development, EarlyView.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye, Amit K. Ball, Raul V. Rodriguez, Olalekan A. Olayemi, Peplluis Esteva, Peter O. Omoniyi, Isaac K. Adegun, Rasheedat M. Mahamood, Esther T. Akinlabi   +8 more
wiley   +1 more source