This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Charting new territories: fuzzy systems in English language teaching and learning. [PDF]
Wen X, Pan D.
europepmc +1 more source
Teacher Cognition and Practice of Educational Equity in English as a Foreign Language Teaching. [PDF]
Chen F, Abdullah RB.
europepmc +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
From perceptions to beliefs: the mediating role of attitudes in pre-service English teacher cognition of Communicative Language Teaching in China. [PDF]
Zhou J, Liu D.
europepmc +1 more source
Dual-Mode Teaching in the Language Classroom: Reconciling the Pandemic, Equity, and the Future of Quality Language Teaching Pedagogy. [PDF]
Olsen-Reeder VI.
europepmc +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
The data visualization and intelligent text analysis for effective evaluation of English language teaching. [PDF]
Wu Z, Zhang Y.
europepmc +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Intelligent text analysis for effective evaluation of english Language teaching based on deep learning. [PDF]
Ren Y, Fan W, Wang J.
europepmc +1 more source

