Results 101 to 110 of about 18,007 (256)
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Bilingual modified flipped learning in international nursing education: A discursive approach. [PDF]
Int J Nurs Sci, 2023 Cubelo F.
europepmc +1 more source
IS FLIPPED LEARNING FOR EVERYONE?
PEOPLE: International Journal of Social Sciences, 2016 An education crisis happens in Indonesia and therefore many policies and efforts are implemented to uplift the quality of its education. The government is committed to improve the infrastructure in the country’s education system so that the students will have better experience in the future. This study analyzes flipped learning as one of the strategies
openaire +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Exploring the flipped model in the CLIL geology classroom
Inovacije u NastaviThis paper explores the application of the flipped classroom model within a Content and Language Integrated Learning (CLIL) geology course at a university level.
Lidija V. Beko, Marija M. Đorđević
doaj +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
Advanced Intelligent Systems, EarlyView.An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
A Non‐Covalent [4Fe–4S]/[2Fe] Interface in HydF Guides [FeFe]‐Hydrogenase Maturation
Angewandte Chemie, EarlyView.Bridged or not? 57Fe NRVS reveals a non‐covalent, electronically coupled interaction between the HydF [4Fe–4S] cluster and the [2Fe] precursor. Boltz‐2 structure predictions suggest that the cubane organizes lipoate‐dependent Hmet chemistry, positioning intermediates for assembly of the CH2–NH–CH2 bridge during H‐cluster biosynthesis.
Giorgio Caserta +6 more
wiley +2 more sources
The flipped learning perception scale: A validity and reliability study. [PDF]
Educ Inf Technol (Dordr), 2023 Ekinci F +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source