Articles

Dopant network processing units as tuneable extreme learning machines

in Nanoelectronics

• B. van de Ven
• U. Alegre-Ibarra
• P. J. Lemieszczuk
• P. A. Bobbert
• H.-C. Ruiz Euler
• W. G. van der Wiel

Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review

in Computational Methods in Chemical Engineering

• Hanin Alkabbani
• Ali Ahmadian
• Qinqin Zhu
• Ali Elkamel

Online Monitoring Method for Operation Status of the thermal power generating units Based on Fusion of Limit Learning Machine and SCADA Data

in Mechatronics

• Yongjun Fu
• Xuyang Zhao
• Zhiqiang Yang
• Yujiang Zhang
• Yaping Qv
• Baohua He
• Yuewu Yang

Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres

in Nanophotonics

• Giulia Marcucci
• Luana Olivieri
• Juan Sebastian Totero Gongora

A systematic comparison of deep learning methods for EEG time series analysis

• Dominik Walther
• Johannes Viehweg
• Jens Haueisen
• Patrick Mäder

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study

in Machine Learning and Artificial Intelligence

• Alina Amanzholova
• Aysun Coşkun

IPSO-ELM intelligent prediction of landslide displacement in complex and unstable area of karst landform

in Environmental Informatics and Remote Sensing

• Junwei Qiao
• Yu Zhang
• Weibo Li
• Jieqing Tan

Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging

in Sustainable and Intelligent Phytoprotection

• Lijia Xu
• Yanjun Chen
• Xiaohui Wang
• Heng Chen
• Zuoliang Tang
• Xiaoshi Shi
• Xinyuan Chen
• Yuchao Wang
• Zhilang Kang
• Zhiyong Zou