Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...
Morning Overview on MSN
Squirrels can recover 85% of the nuts they hide, here's how
Squirrels are famously forgetful in popular culture, yet field studies show they can relocate roughly 85 percent of the nuts ...
The New Type Key Think Tank of Zhejiang Province “China Research Institute of Regulation and Public Policy”, Hangzhou, China. 2 Shandong Province City Water Supply and Drainage Water Quality ...
An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository
Abstract: The number of exploits of Docker images involving the injection of adversarial behaviors into the image’s layers is increasing immensely. Docker images are a fundamental component of Docker.
Endnight Games showed up for The Game Awards 2025 with what may be one of the most unexpected announcements of the night: Forest 3 is coming. A trailer for the latest in its line of popular survival ...
Accurate prediction of concrete compressive strength is essential for ensuring the durability and safety of concrete structures. This study utilizes the Deep Forest (GC Forest) model to predict ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback