Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputspan evaporation modellingtemperature-based modellingdeep learningLSTMANNANFISSVRgrey wolf optimizationEstimation of pan evaporation (Epan) is an important issue for planning and management of available...
et al. Metabolite profiling and pharmacokinetic evaluation of hydrocortisone in a perfused three-dimensional human liver bioreactor. Drug. Metab. Dispos. 43, 1091–1099 (2015). Article Google Scholar Ingber, D. E. Human organs-on-chips for disease modelling, drug development and personalized ...
et al. Evaluation and prediction of compound geohazards in highly urbanized regions across China's Greater Bay Area. Journal of Cleaner Production, 2024, 449: 141641. DOI:10.1016/j.jclepro.2024.141641 33. Guo, Z., Zhou, X., Huang, D. et al. A landslide hazard prediction framework by...
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction, Tunn. Undergr. Space Technol. 106, 03593 [58] Zhang, P., Wu, H.N., Chen, R.P., Chan, T.H.T., 2020b. Hybrid meta-heuristic and machine learning algorithms for tunneling-induced ...
Aspect-based sentiment analysis in Urdu language: resource creation and evaluation This work is the first effort in aspect-based sentiment analysis for Urdu language using classical machine learning and deep learning approach. Additionally,... A Altaf,MW Anwar,MH Jamal,... - 《Neural Computing &...
Evaluation measure 主要评估指标是机器学习(ML)的效率(或效用)。更详细地说,机器学习效率量化了在合成数据上训练并在真实测试集上评估的分类或回归模型的性能。直观地说,在高质量合成材料上训练的模型应该比在真实数据上训练的模型更有竞争力(甚至更好)。本文使用两种评估协议来计算机器学习效率。
conflict-resolutionsimulationgenetic-algorithmconservationgame-theoryr-packageecological-modelsgenetic-algorithmsecologyconflictfood-securityecological-modellingagricultural-modellingpopulation-modelwildlife-managementmanagement-strategy-evaluationmanagement-decisionsadaptive-management ...
evaluation of the performance of time-series prediction, classification, and ontology models on both public (i.e., PMData) and private (i.e., MOX2-5 activity) datasets. Related work We considered the overall activity eCoaching process in related work by classifying it into a data-driven ...
In particular, we focus on applying interpretable machine learning to reveal the interactions among the input variables and to capture nonlinear relationships between the input variables and the outcome. As such, we use a well-established machine-learning algorithm—random forest—to model and predict...
Self-validating deep learning for recovering terrestrial water storage from gravity and altimetry measurements. Geophys. Res. Lett. 47, e2020GL089258 (2020). Article Google Scholar Jung, M. et al. Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the fluxcom...