Articles

Prediction of photovoltaic power generation based on a hybrid model

in Sustainable Energy Systems

• Xiaohua Zhang
• Yuping Wu
• Yu Wang
• Zhirui Lv
• Bin Huang
• Jingzhong Yuan
• Jingyu Yang
• Xinsheng Ma
• Changyuan Li
• Lianchao Zhang

Research on the identification of high-resistance ground faults in the flexible DC distribution network based on VMD–inception–CNN

in Process and Energy Systems Engineering

• Feng Zheng
• Yaling Peng
• Changxu Jiang
• Yanzhen Lin
• Ning Liang

Residual Block Based Nested U-Type Architecture for Multi-Modal Brain Tumor Image Segmentation

in Brain Imaging Methods

• Sirui Chen
• Shengjie Zhao
• Quan Lan

Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification

in Sustainable and Intelligent Phytoprotection

• Saleh Albahli
• Momina Masood

FFA-DMRI: A Network Based on Feature Fusion and Attention Mechanism for Brain MRI Denoising

in Neuroprosthetics

• Dan Hong
• Chenxi Huang
• Chenhui Yang
• Jianpeng Li
• Yunhan Qian
• Chunting Cai

Assessing the carbon footprint of soccer events through a lightweight CNN model utilizing transfer learning in the pursuit of carbon neutrality

in Environmental Informatics and Remote Sensing

• Zhewei Liu
• Dayong Guo

Application of convolutional neural network in fusion and classification of multi-source remote sensing data

• Fanghong Ye
• Zheng Zhou
• Yue Wu
• Bayarmaa Enkhtur

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network

in Brain Imaging Methods

• Xiongliang Xiao
• Yuee Fang

Overall Survival Prediction for Gliomas Using a Novel Compound Approach

in Cancer Imaging and Image-directed Interventions

• He Huang
• Wenbo Zhang
• Ying Fang
• Jialing Hong
• Shuaixi Su
• Xiaobo Lai

Robust Motion Regression of Resting-State Data Using a Convolutional Neural Network Model

in Brain Imaging Methods

• Zhengshi Yang
• Xiaowei Zhuang
• Karthik Sreenivasan
• Virendra Mishra
• Dietmar Cordes
• the Alzheimer’s Disease Neuroimaging Initiative

Quantification of Cognitive Function in Alzheimer’s Disease Based on Deep Learning

in Brain Imaging Methods

• Yanxian He
• Jun Wu
• Li Zhou
• Yi Chen
• Fang Li
• Hongjin Qian