Leveraging advanced ensemble learning techniques for methane uptake prediction in metal organic frameworks
Pardakhti, M., Moharreri, E., Wanik, D., Suib, S. L. & Srivastava, R. Machine learning using combined structural and chemical descriptors...
prediction
Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction | BMC Infectious Diseases
Baseline characteristicsBoxplots grouped by ANLR quartiles (Fig. 2) show that NLR levels progressively decreased, while albumin levels gradually increased across quartiles....
Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches
Data collection and descriptionThe statistics about EV charging stations in Colorado come from automated systems that track different aspects of...
Prediction of traffic accidents trend with learning methods: a case study for Batman, Turkey
Tedjopurnomo, D. A. et al. A survey on modern deep neural network for traffic prediction: trends, methods and challenges. IEEE...
QKDTI A quantum kernel based machine learning model for drug target interaction prediction
This study proposed QKDTI - Quantum Kernel Drug-Target Interaction, a novel quantum-enhanced regression framework for DTI prediction that enhance the...
Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
This study adopts a three-stage pipeline: dataset preparation, ceramic classification, and price prediction, as shown in Fig. 1. The stages...
