Results 121 to 130 of about 156,230 (307)
Smart Learning: Der digitale Lernbegleiter für die berufliche Bildung
S.227-232Das Projekt "Smart Learning" wird als Teil der Förderlinie "Digitale Medien in der beruflichen Bildung" vom BMBF gefördert. Vier Projektpartner1234 entwickeln unter dem Titel "Smart Learning - Medieneinsatz in der handwerklichen Weiterbildung ...
Krauss, Christopher +4 more
core +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review
The incorporation of renewable energy sources in power grids has necessitated innovative solutions for effective energy management. Smart grids have emerged as transformative systems which integrate consumer, generator and dual-role entities to deliver ...
Arman Fathollahi
core +1 more source
Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning
Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN ...
Muhammad Asim Saleem +5 more
doaj +1 more source
Several previous studies have indicated that teachers require knowledge to enhancing technology-integrated instructional practices for representing and formulating the content to students. Therefore, the technological pedagogical content knowledge (TPACK)
Pawat Chaipidech +4 more
doaj
A smart learning ecosystem design for delivering Data-driven Thinking in STEM education. [PDF]
Benita F +3 more
europepmc +1 more source
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali +4 more
wiley +1 more source
An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19. [PDF]
Shah SK, Tang Z, Sharif SMF, Tanveer A.
europepmc +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source

