Frontiers

A robust deep learning framework for predicting carbon dioxide-water alternating gas injection performance and optimization

Figure 1. Schematic diagram of CO 2-WAG technique and CCUS aims. Table 3. CO 2-WAG parameters range. The script then automatically runs numerical simulations number-by-number using the created data ...

First-time use of AI for genetic circuit design demonstrated in a human cell line

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
Business Insider

MicroCloud Hologram Inc. Develops Serial-Parallel Architecture-Based FPGA Quantum Computing Simulation Framework

SHENZHEN, China, Dec. 22, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Scientific Research Publishing

Liang, W., Luo, S., Zhao, G. and Wu, H. (2020) Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms. Mathematics, 8, Article No. 765.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Morningstar

Quantitative Brokers Expands into Latin America with Launch of Execution Algorithms on Brazil's B3 Exchange

NEW YORK, Oct. 20, 2025 /PRNewswire/ -- Quantitative Brokers (QB), a leading provider of advanced execution algorithms for institutional traders, has announced the launch of its algorithmic trading ...
SciELO

Feature extraction and XGBoost prediction model for compaction process of roller compacted concrete based on discrete element simulation

To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...
GitHub

Feature Request: Add CPU Scheduling Algorithms Simulator

Implement a CPU Scheduling Algorithms Simulator using Streamlit to visualize and compare different CPU scheduling strategies interactively. This feature will allow users to simulate various scheduling ...
PC World

This free, in-browser flight simulator is my new obsession

Microsoft Flight Simulator X is a lot of fun, but the game isn’t cheap. If you don’t want to pay for your flight simulator, you might just want to try GeoFS instead. It’s a free flight simulator with ...