Cited by An innovative nonlinear grey system model with generalized fractional operators and its application

Modeling, prediction and analysis of new energy vehicle sales in China using a variable-structure grey model DOI

Bo Zeng, Hui Li,

Cuiwei Mao

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 118879 - 118879

Published: Sept. 22, 2022

Language: Английский

Citations

A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation DOI

Wuyong Qian,

Aodi Sui

Expert Systems with Applications, Journal Year: 2021, Volume and Issue: 186, P. 115761 - 115761

Published: Aug. 17, 2021

Language: Английский

Citations

Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model DOI

Song Ding, Zui Tao,

Huahan Zhang

et al.

Energy, Journal Year: 2021, Volume and Issue: 239, P. 121928 - 121928

Published: Aug. 30, 2021

Language: Английский

Citations

Forecasting the development trend of new energy vehicles in China by an optimized fractional discrete grey power model DOI

Lianyi Liu, Sifeng Liu, Lifeng Wu

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 372, P. 133708 - 133708

Published: Aug. 23, 2022

Language: Английский

Citations

Classification of Skin Cancer Lesions Using Explainable Deep Learning DOI

Muhammad Zia Ur Rehman,

Fawad Ahmed, Suliman A. Alsuhibany

et al.

Sensors, Journal Year: 2022, Volume and Issue: 22(18), P. 6915 - 6915

Published: Sept. 13, 2022

Skin cancer is among the most prevalent and life-threatening forms of that occur worldwide. Traditional methods skin detection need an in-depth physical examination by a medical professional, which time-consuming in some cases. Recently, computer-aided diagnostic systems have gained popularity due to their effectiveness efficiency. These can assist dermatologists early cancer, be lifesaving. In this paper, pre-trained MobileNetV2 DenseNet201 deep learning models are modified adding additional convolution layers effectively detect cancer. Specifically, for both models, modification includes stacking three convolutional at end models. A thorough comparison proves show superiority over original The proposed method benign malignant classes. results indicate Modified model achieves 95.50% accuracy state-of-the-art performance when compared with other techniques present literature. addition, sensitivity specificity 93.96% 97.03%, respectively.

Language: Английский

Citations

A novel two-stage seasonal grey model for residential electricity consumption forecasting DOI

Pei Du, Ju’e Guo, Shaolong Sun

et al.

Energy, Journal Year: 2022, Volume and Issue: 258, P. 124664 - 124664

Published: June 30, 2022

Language: Английский

Citations

A unified new-information-based accumulating generation operator based on feature decoupling for multi-characteristic time series forecasting DOI

Song Ding, Zhijian Cai, Juntao Ye

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 154, P. 111310 - 111310

Published: Feb. 2, 2024

Language: Английский

Citations

Prediction and rationality analysis of new energy vehicle sales in China with a novel intelligent buffer operator DOI

Bo Zeng,

Fengfeng Yin,

Jianzhou Wang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 110030 - 110030

Published: Jan. 15, 2025

Language: Английский

Citations

Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model DOI

Bingchun Liu,

Xiaogang Yu,

Jiali Chen

et al.

Atmospheric Pollution Research, Journal Year: 2021, Volume and Issue: 12(8), P. 101144 - 101144

Published: July 19, 2021

Language: Английский

Citations

A novel grey prediction model for seasonal time series DOI

Weijie Zhou,

Rongrong Jiang,

Song Ding

et al.

Knowledge-Based Systems, Journal Year: 2021, Volume and Issue: 229, P. 107363 - 107363

Published: Aug. 4, 2021

Language: Английский

Citations