Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

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

The method will be a combination of a number of ML algorithms, and the method will give new opportunities to insurers ... Real-life models, e.g., logistic regression, K-nearest neighbors, decision ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Mira-Bhayandar Municipal Corporation inaugurated an urban forest at its solid waste management site, planting 8,600 native trees using the Miyawaki method. This initiative, part of a larger plan to ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...