Results 201 to 210 of about 224,550 (312)

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

Simulation-based framework for stochastic multi-mode resource-constrained project scheduling. [PDF]

open access: yesMethodsX
Rahimifard A   +3 more
europepmc   +1 more source

Probabilistic logic programming for hybrid relational domains

open access: yesMachine-mediated learning, 2016
D. Nitti, T. Laet, L. D. Raedt
semanticscholar   +1 more source

DeepSeek in Education: Exploring the Transformative Potential of AI‐Driven Educational Intelligence

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The integration of artificial intelligence into education remains challenged by issues of scalability, interpretability, and multimodal adaptability. DeepSeek's AI‐driven educational tools show potential to improve educational applications through advances in reasoning efficiency, lightweight deployment, and multimodal fusion.
Jian Liao, Fan Sun, Yajie Liu, Yuli Hu
wiley   +1 more source

Large-scale crossbar arrays based on three-terminal MoS<sub>2</sub> memtransistors. [PDF]

open access: yesNat Commun
Schranghamer TF   +11 more
europepmc   +1 more source

Reflective Pathways: Integrating Empathy Into the STEM Student Experiences

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal   +3 more
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

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