Results 221 to 230 of about 1,043,746 (297)

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

open access: yesAdvanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim   +10 more
wiley   +1 more source

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du   +14 more
wiley   +1 more source

Advances in Microbial Diagnostics: Machine Learning and Nanotechnology for Zoonotic Disease Control. [PDF]

open access: yesWiley Interdiscip Rev Nanomed Nanobiotechnol
Lotfalizadeh N   +8 more
europepmc   +1 more source

The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models

open access: gold
Shamsuddeen Adamu   +8 more
openalex   +1 more source

Comparative analysis of machine learning models for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer: An MRI radiomics approach [PDF]

open access: hybrid
Alessia D’Anna   +10 more
openalex   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

open access: yesAdvanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

Machine learning automation

open access: yesNational Science Review
Xu, Zongben, Zhou, Zhi-Hua, Zhu, Wenwu
openaire   +2 more sources

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