A Quantum Proxy Signature Scheme Without Restrictions on the Identity and Number of Verifiers. [PDF]
Xiong S.
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]
Debnath U, Kim S.
europepmc +1 more source
Two relations for generalized discrete Fourier transform coefficients
openaire +1 more source
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source
Lightweight Signal Processing and Edge AI for Real-Time Anomaly Detection in IoT Sensor Networks. [PDF]
Reis MJCS.
europepmc +1 more source
Wearable Thermoelectric Generators for In Vivo Modulation of Insulin Release
This work presents a wearable, self‐powered thermoelectric system (IGNITE) that sustainably harvests body heat to electrically stimulate engineered human cells for insulin release. Operating autonomously without batteries, IGNITE achieves glycemic control in diabetic mice, demonstrating a significant advance in bioelectronic medicine and setting the ...
Debasis Maity +2 more
wiley +1 more source
An Integrated GPR B-Scan Preprocessing Model Based on Image Enhancement for Detecting Subsurface Pipes. [PDF]
Shi Z +5 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source

