过去一年中添加的文章,按日期排序

Mondrian inductive conformal classifier for the quantitative structure–odor relationship to estimate prediction confidence

T Debnath, K Oishi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
51 天前 - … An empirical evaluation using the Leffingwell flavor … in improving the accuracy and
reliability of QSOR predictions, … This is a highly desirable feature for odor prediction, where …

[HTML][HTML] Multi-Method Comparative Analysis of Hydroclimatic Trends and Variability in Dry Creek Catchment, South Australia

TG Andualem, GA Hewa, J Boland, S Peters… - Earth Systems and …, 2024 - Springer
64 天前 - … that rainfall is the most reliable predictor of streamflow. The outcomes … mitigation
strategies backed by empirical evidence. … To accurately represent the relationship between the …

Machine learning prediction and characterization of sigma-free high-entropy alloys

MS Mehranpour, A Koushki, SSK Madahi… - Materials …, 2024 - Elsevier
64 天前 - … regression, which is more reliable and user-friendly than … a considerable difference
between MI values of empirical … is a striking difference between the accuracy rate of ML …

[图书][B] PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON RESEARCH IN

THN Nguyen - 2024 - books.google.com
70 天前 - … in this book are believed to be true and accurate at the date of publication. Neither
the … The ability to predict trends and anticipate shifts in customer preferences has become …

Regional Debris-Flow Hazard Assessments

P Horton, L Lombardo, M Mergili, V Wichmann… - Advances in Debris-flow …, 2024 - Springer
96 天前 - … incomplete inventories still provide reliable predictive maps, mainly for … In addition
to the accuracy aspect, its resolution has a … As the name suggests, empirical methods rely on …

Essays in financial technology: banking efficiency and application of machine learning models in Supply Chain Finance and credit risk assessment

Y Li - 2024 - theses.gla.ac.uk
97 天前 - … an extensive review of the current literature and empirical data… need for accurate
risk assessment and predictive modelling … the imbalance data issue and feature selection in the …

Three-Tier Survey of Deep Learning Based Traffic Prediction Schemes

A Kumar, D Garg, G Sharma - … Conference on Reliability …, 2024 - ieeexplore.ieee.org
110 天前 - … complexities important for attaining accurate prediction. This … term traffic prediction,
the author has proposed the Empirical … CNN is used to extract spatial features, for the input to …

Read-First LSTM model: A new variant of long short term memory neural network for predicting solar radiation data

M Ehteram, MA Nia, F Panahi, A Farrokhi - Energy Conversion and …, 2024 - Elsevier
117 天前 - … relies on an accurate prediction of solar radiation data, … reliable method for predicting
solar radiation. The new model enhances the efficiency of empirical models for predicting

A universal ANN-based approach predicting PCHEs' off-design performance across various operating conditions of sCO2 RCBCs

X Sui, S Yao, C Liu, N Guo, W Wang, P Dong - Applied Thermal …, 2024 - Elsevier
118 天前 - … Through an in-depth literature review, we find that the … ANNu’s prediction accuracy
and generalization targeting … Regarding the absence of universal empirical correlation

철근콘크리트기둥의비선형모델매개변수예측을위한기계학습회귀모델제안

조진우 - 2024 - repository.hanyang.ac.kr
120 天前 - … with various properties, and the existing empirical … To ensure valid and reliable
predictive model performance, … The accuracy of the predictive model was verified by 10-…