Results 241 to 250 of about 822,037 (305)

Prediction of drug-disease associations based on reinforcement symmetric metric learning and graph convolution network. [PDF]

Front Pharmacol
Luo H, Zhu C, Wang J, Zhang G, Luo J, Yan C.   +5 more
europepmc   +1 more source

Training and testing performance metrics for the considered machine learning models.

Andres Portocarrero-Bonifaz (21367929), Salman Syed (18880470), Maxwell Kassel (21367932), Grant W. McKenzie (21367935), Vishwa M. Shah (21367938), Bryce M. Forry (21367941), Jeremy T. Gaskins (9281129), Keith T. Sowards (21367944), Thulasi Babitha Avula (21367947), Adrianna Masters (21367950), Jose G. Schneider (21367953), Scott R. Silva (14975143)   +11 more
openalex   +1 more source

Performance Evaluation of Similarity Metrics in Transfer Learning for Building Heating Load Forecasting [PDF]

Di Bai, Shuo Ma, Hongting Ma
openalex   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Open-Set Recognition of Individual Cows Based on Spatial Feature Transformation and Metric Learning. [PDF]

Animals (Basel)
Wang B, Li X, An X, Duan W, Wang Y, Wang D, Qi J.   +6 more
europepmc   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Nonstationary Distance Metric Learning [PDF]

, 2016
Kristjan Greenewald, Stephen Kelley, Alfred O. Hero   +2 more
openalex   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A New Method for Bearing Fault Diagnosis across Machines Based on Envelope Spectrum and Conditional Metric Learning. [PDF]

Sensors (Basel)
Yang X, Yang J, Jin Y, Liu Z.
europepmc   +1 more source

Voice classification in Parkinson’s disease: A deep learning approach using transformers and error rate metrics

Benedetta Perrone, Federica Amato, Gabriella Olmo   +2 more
openalex   +1 more source