Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM. [PDF]
Tong Q, Liang G, Bi J.
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
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Adaptive learning algorithm based price prediction model for auction lots-deep clustering based interval quoting. [PDF]
Ke D, Fan X, Asif M.
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Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study. [PDF]
Kourou K+16 more
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Electrically Insulating Electromagnetic Interference Shielding Materials: A Perspective
Developing electromagnetic interference (EMI) shielding materials with inherent electrical insulation and high EMI shielding effectiveness is challenging but important for electronic applications. This perspective summarizes the recent advancements in designing electrically insulating EMI shielding materials and discusses the underlying mechanisms of ...
Ji Liu, Valeria Nicolosi
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Personalized adaptive learning in higher education: A scoping review of key characteristics and impact on academic performance and engagement. [PDF]
du Plooy E, Casteleijn D, Franzsen D.
europepmc +1 more source
User-Independent EMG Gesture Recognition Method Based on Adaptive Learning. [PDF]
Zheng N, Li Y, Zhang W, Du M.
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Ultrathin, flexible neural probes are developed with an innovative, biomimetic design incorporating brain tissue‐compatible materials. The material system employs biomolecule‐based encapsulation agents to mitigate inflammatory responses, as demonstrated through comprehensive in vitro and in vivo studies.
Jeonghwa Jeong+7 more
wiley +1 more source
Two Determinants of Dynamic Adaptive Learning for Magnitudes and Probabilities. [PDF]
Foucault C, Meyniel F.
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