Results 61 to 70 of about 285,439 (304)

Peritumoral features for assessing invasiveness of lung adenocarcinoma manifesting as ground-glass nodules

Scientific Reports
We evaluated the predictive value of radiomics features from different peritumoral ranges for the invasiveness of ground-glass nodular lung adenocarcinoma using various machine learning models.
Xiao Wang, Hui Xue, Wei Ding, Fei Huang, Yu Zhang, Xin Pang   +5 more
doaj   +1 more source

Statistical Mechanics of Soft Margin Classifiers

, 2001
We study the typical learning properties of the recently introduced Soft Margin Classifiers (SMCs), learning realizable and unrealizable tasks, with the tools of Statistical Mechanics.
A. Buhot, A. Buhot, B. Martos, C. Cortes, C. J. C. Burges, E. Gardner, G. Györgyi, G. Györgyi, H. S. Seung, J. Hertz, J.-I. Inoue, M. B. Gordon, M. Opper, M. Opper, M. Seeger, Mirta B. Gordon, O. Kinouchi, P. Peretto, P. Reimann, P. Sollich, R. Dietrich, R. Meir, S. Risau-Gusman, S. Risau-Gusman, S.-I. Amari, Sebastian Risau-Gusman, T. Cover, T. L. H. Watkin, T. Uezu, V. Vapnik, W. Krauth   +30 more
core   +1 more source

MP15-09 MACHINE LEARNING AND AUTOMATED PERFORMANCE METRICS TO PREDICT POSITIVE SURGICAL MARGINS AFTER ROBOT-ASSISTED RADICAL PROSTATECTOMY [PDF]

, 2021
Ryan S. Lee, Runzhuo Ma, Jessica H. Nguyen, Stephanie Pham, Jacqueline Maya-Silva, Manju Aron, Siamak Daneshmand, Steven Cen, Andrew J. Hung   +8 more
openalex   +1 more source

Auto‐Generated Valence States in Electrocatalysts for Boosting Oxygen and Hydrogen Evolution Kinetics in Alkaline Water/Alkaline Seawater/Simulated Seawater/Natural Seawater

Advanced Functional Materials, EarlyView.
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari, Gokul Bhaskaran, Krishan Kumar, Yun Suk Huh, Young‐Kyu Han   +4 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Optimization of Short-Term Relaxation Effect by Dual Error Margin Scheme for Resistive Random-Access Memory-Based Next Generation Reservoir Computing

IEEE Journal of the Electron Devices Society
Next Generation Reservoir Computing (NGRC) has demonstrated strong potential in hardware-based machine learning applications, leveraging RRAM for efficient feature vector generation.
Qingyun Zuo, Danian Dong, Xiaoxin Xu, Woyu Zhang, Dashan Shang, Xu Zheng, Wenxuan Sun, Hao Min   +7 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Zoomed Response Surface Method for Automatic Design in Parameters Optimization of Low-Voltage Power MOSFET

IEEE Journal of the Electron Devices Society, 2022
A new parameter optimization method using zoomed response surface (RS) is proposed for automatic design of low-voltage power MOSFET. Low-voltage MOSFET characteristics have been improved continuously considering with not only low power loss but also low ...
Wataru Saito, Shin-Ichi Nishizawa
doaj   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Machine learning approach to reconstruct density matrices from quantum marginals

Machine Learning: Science and Technology
Abstract In this work, we propose a machine learning (ML)-based approach to address a specific aspect of the Quantum Marginal Problem: reconstructing a global density matrix compatible with a given set of quantum marginals. Our method integrates a quantum marginal imposition technique with convolutional denoising autoencoders.
Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado   +3 more
openaire   +3 more sources