Quantum Image Denoising: A Framework via Boltzmann Machines, QUBO, and Quantum Annealing [PDF]
, 2023 Phillip Kerger, Ryoji Miyazaki
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
An Algorithm for Medical Magnetic Resonance Image Non-Local Means Denoising
, 2015 KOROLIJA, S., Eva Tuba, Milan TUBA
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Controlled Interfacial Stress Platform for Electrochemical‐Mechanical Coupling Measurements
Advanced Energy Materials, EarlyView.Understanding electrochemical‐mechanical coupling in solid‐state batteries is vital for predicting their performance, degradation, and safety. Conventional screw‐jig platforms provide data but lack insights into stress effects on individual couplings.
Bhuvsmita Bhargava +9 more
wiley +1 more source
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing, 2000 S. G. Chang, Bin Yu, M. Vetterli
semanticscholar +1 more source
Advanced Energy and Sustainability Research, EarlyView.This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference [PDF]
, 2023 Aytaç Özkan, Yi-Hsin Li, Thomas Sikora
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AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
Advanced Intelligent Discovery, EarlyView.AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Single trial event-related potentials with automatic wavelet denoising
, 2011 Quian Quiroga Rodrigo
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Study on Acoustic Emission Damage Signal Denoising of 2D-C/SiC Composites
, 2020 Yinling Wang, Huacong Li
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