|
|
|
|
|
Yunfei Yang, Zhicheng Zhang, Jiapeng Zhao, Bin Zhang, Lei Zhang, Qi Hu and Jianglong Sun
Resistance serves as a critical performance metric for ships. Swift and accurate resistance prediction can enhance ship design efficiency. Currently, methods for determining ship resistance encompass model tests, estimation techniques, and computational ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
James Oduor Oyoo, Jael Sanyanda Wekesa and Kennedy Odhiambo Ogada
Road traffic collisions are among the world?s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using diff...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianjing Deng, Xiangfeng Yang, Liwen Liu, Lei Shi, Yongsheng Li and Yunchuan Yang
Underwater acoustic homing weapons (UAHWs) are formidable underwater weapons with the capability to detect, identify, and rapidly engage targets. Swift and precise target identification is crucial for the successful engagement of targets via UAHWs. This ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bojan Ilijoski, Katarina Trojachanec Dineva, Biljana Tojtovska Ribarski, Petar Petrov, Teodora Mladenovska, Milena Trajanoska, Ivana Gjorshoska and Petre Lameski
A bite from a bug may expose the affected person to serious, life-threatening conditions, which may require immediate medical attention. The identification of the bug bite may be challenging even for experienced medical personnel due to the different man...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
ver más
|
|
|
|
|
|
|
|
|
|
|
Khrystyna Zub, Pavlo Zhezhnych and Christine Strauss
In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions? (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future students? li...
ver más
|
|
|
|
|
|