Prospective validation of artificial neural network trained to identify acute myocardial infarction
, 1996 William G. Baxt, Jan Skóra
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Letter Regarding "An Artificial Neural Network-Based Model to Predict Chronic Kidney Disease in Aged Cats". [PDF]
J Vet Intern MedWun MK.
europepmc +1 more source
Advanced Materials, EarlyView.Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen +8 more
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Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications. [PDF]
Sci RepFatahian R, Erfani R.
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Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises. [PDF]
Sci RepMa S.
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Smart Dust for Chemical Mapping
Advanced Materials, EarlyView.This review article explores the advancement of smart dust networks for high‐resolution spatial and temporal chemical mapping. Comprising miniature, wireless sensors, and communication devices, smart dust autonomously collects, processes, and transmits data via swarm‐based communication.
Indrajit Mondal, Hossam Haick
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Comment on “The use of artificial neural networks for the prediction of water quality parameters” by H. R. Maier and G. C. Dandy [PDF]
, 1997 Vincent Fortin +2 more
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Response to Letter Regarding "An Artificial Neural Network-Based Model to Predict Chronic Kidney Disease in Aged Cats". [PDF]
J Vet Intern MedBiourge V +5 more
europepmc +1 more source
A Neuransistor with Excitatory and Inhibitory Neuronal Behaviors for Liquid State Machine
Advanced Materials, EarlyView.The neuransistor integrates hybrid excitatory and inhibitory dynamics, enabling liquid state machine implementation. It operates via charge trapping in a two‐dimensional electron electron gas (2DEG)/TiO2−x structure and features a three‐terminal design for efficient masking functionality. Simulations demonstrate its effectiveness in predicting temporal
Woon Hyung Cheong +6 more
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