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Mohammad Shokouhifar, Mohamad Hasanvand, Elaheh Moharamkhani and Frank Werner
Heart disease is a global health concern of paramount importance, causing a significant number of fatalities and disabilities. Precise and timely diagnosis of heart disease is pivotal in preventing adverse outcomes and improving patient well-being, there...
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Shurong Peng, Lijuan Guo, Yuanshu Li, Haoyu Huang, Jiayi Peng and Xiaoxu Liu
The allocation of biogas between power generation and heat supply in traditional kitchen waste power generation system is unreasonable; for this reason, a biogas prediction method based on feature selection and heterogeneous model integration learning is...
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Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl...
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Abdulaziz AlMohimeed, Hager Saleh, Sherif Mostafa, Redhwan M. A. Saad and Amira Samy Talaat
Cervical cancer affects more than half a million women worldwide each year and causes over 300,000 deaths. The main goals of this paper are to study the effect of applying feature selection methods with stacking models for the prediction of cervical canc...
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Pieter Cawood and Terence Van Zyl
The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the...
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Jiayue Gu, Shuguang Liu, Zhengzheng Zhou, Sergey R. Chalov and Qi Zhuang
The prediction of monthly rainfall is greatly beneficial for water resources management and flood control projects. Machine learning (ML) techniques, as an increasingly popular approach, have been applied in diverse climatic regions, showing their respec...
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Qian Cheng, Honggang Xu, Shuaipeng Fei, Zongpeng Li and Zhen Chen
The leaf area index (LAI), commonly used as an indicator of crop growth and physiological development, is mainly influenced by the degree of water and fertilizer stress. Accurate assessment of the LAI can help to understand the state of crop water and fe...
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Guangwei Chen, Waiching Tang, Shuo Chen, Shanyong Wang and Hongzhi Cui
Engineered cementitious composite (ECC) is a unique material, which can significantly contribute to self-healing based on ongoing hydration. However, it is difficult to model and predict the self-healing performance of ECC. Although different machine lea...
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Shixun Wang and Qiang Chen
Boosting of the ensemble learning model has made great progress, but most of the methods are Boosting the single mode. For this reason, based on the simple multiclass enhancement framework that uses local similarity as a weak learner, it is extended to m...
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Nureni Ayofe Azeez, Oluwanifise Ebunoluwa Odufuwa, Sanjay Misra, Jonathan Oluranti and Robertas Dama?evicius
In this Internet age, there are increasingly many threats to the security and safety of users daily. One of such threats is malicious software otherwise known as malware (ransomware, Trojans, viruses, etc.). The effect of this threat can lead to loss or ...
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