CNN-LSTM model based on dual feature fusion. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Experimental data collection platform. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Overlapping sampling data samples. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

The types of circular saw blade failures. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Equivalent force cloud map. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

The raw samples of vibration signals. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Test set prediction results. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Training set identification confusion matrix. حسب Chao Zeng (452370)

"…This study effectively solves the problem of small sample sizes for circular saw blade wear data, and provides an efficient and accurate method for circular saw blade wear identification under complex working conditions, which has important practical significance for improving the safety and efficiency of spent fuel assembly cutting.…"

Statistical testing. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Flow diagram of FPA-WPA algorithm. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Design flowchart of hybrid prediction system. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Results of ES model on wind speed dataset. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Time series data decomposition results. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

CS-BP model prediction results. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Comparison results of time complexity. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Wind power comparison results. حسب Jiayuan Wang (3765376)

"…This research method can provide strong technical support and reference basis for the development and utilisation of wind energy resources, and help to promote the sustainable development of wind energy industry.…"

Proposed model architecture. حسب Yongyan Zhao (9289466)

"…Artificial intelligence (AI) techniques at an advanced level deliver new methods that optimize resource management systems.…"

Classification metrics for anomaly detection. حسب Yongyan Zhao (9289466)

"…Artificial intelligence (AI) techniques at an advanced level deliver new methods that optimize resource management systems.…"

Error distribution of energy prediction. حسب Yongyan Zhao (9289466)

"…Artificial intelligence (AI) techniques at an advanced level deliver new methods that optimize resource management systems.…"

Characteristics of objects. حسب Ryoya Tsunoda (6710891)

"…<div><p>The billing database of the universal healthcare system in Japan potentially includes large-cohort data of patients with immunoglobulin A nephropathy, diagnosis codes aimed at billing should not be directly used for clinical research because of the risk of misdiagnosis. To solve this problem, we aimed to develop a novel method for identifying patients with immunoglobulin A nephropathy from billing data using machine learning. …"