Results 121 to 130 of about 88,321,484 (292)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Resilient Peer-to-Peer Learning Based on Adaptive Aggregation
11 ...
Chandreyee Bhowmick +1 more
openaire +2 more sources
Peer-to-Peer Learning Dynamics of Wide Neural Networks
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Peer-to-peer learning is an increasingly popular framework that enables beyond-5G distributed edge devices to collaboratively train deep neural networks in a privacy-preserving manner without the aid of a central server. Neural network training algorithms for emerging environments, e.g., smart cities, have many design considerations that are difficult ...
Shreyas Chaudhari +3 more
openaire +4 more sources
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Trio-ethnographic Reflection on Using Digital Storytelling to Enhance Learners’ Engagement
Vietnam Journal of EducationThe teaching and learning process in the digital landscape is evolving beyond traditional one-way knowledge delivery. Using trio-ethnography, a combination of duoethnography and photography (Le et al., 2021), we sought to explore how to integrate ...
Lien Phuong Thi Le +4 more
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
SAGE Open NursingIntroduction Peer-assisted learning is widely used in nursing education and is reported to have a positive impact on the students’ learning process. However, students’ experiences of peer-assisted learning from midwifery clinical education in resource ...
Kristine S Kandingu MSc +1 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Interpersonal skills as a Peer Mentor
As a Peer Mentor, your ability to build strong relationships, foster trust, and communicate effectively is ...
Peer Mentoring team
core +1 more source