XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The S&P 500 is highly concentrated in the Mag 7, making diversification beyond Big Tech increasingly attractive for long-term ...

The method will be a combination of a number of ML algorithms ... Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Tolerating heat and helping to reduce it are both attributes that sintering offers as an alternative to soldering in power ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...

So while spintronics chips are not yet ready to be routinely integrated into AI data centers and computers, they are very ...

Recently, a team led by Academician Hongjie Zhang, Researcher Shuyan Song, Associate Researcher Pengpeng Lei, and Dr. Ran An at the Changchun ...

Soil microbes play a crucial role in supporting plant growth by improving nutrient absorption and enhancing resistance to diseases. According to the Food and Agriculture Organization of the United ...