This paper proposes an adaptive secondary control strategy for islanded AC microgrids (MGs) using Distributed Stochastic Deep Reinforcement Learning (DSDRL), targeting reliable frequency and voltage ...
Images captured underwater often encounter quality degradation issues, such as blurring of details, low contrast, non-uniform illumination, and colour deviations. Like a significant challenge in ...
Dual-color live-cell super-resolution imaging of mitochondria (green) and endoplasmic reticulum (magenta). Compared to the standard SN2N method, the proposed Adaptive-SN2N (aSN2N) framework ...
In a recent study published in Science Advances, researchers presented a deep learning framework, termed DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding by integrating ...
In a recent study published in Nature Medicine, researchers compare the safety and feasibility of an adaptive deep brain stimulation (aDBS) system to a conventional DBS system for Parkinson's disease ...
Adaptive learning tools help teachers do their jobs more efficiently and support student engagement, concludes a recent study. But the study—conducted by foundry10, a philanthropic education research ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
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ICT insight with Institute of ICT Professionals: AI‑driven adaptive information architectures: Bridging the digital divide for resilient remote learning
By Joseph BorketeyWhen the COVID‑19 pandemic forced schools worldwide to close, educators and learners in both urban London and rural Ghana discovered how fragile remote education can be when ...
Savannah Marrero was 2 years old when she moved from Texas to Colombia with her family. Three years later, they returned to the Lone Star State, and Marrero fell behind in her education as she ...
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