A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Accurately quantifying forest volume and identifying its driving mechanisms are critical for achieving carbon neutrality objectives. Using data from the National Forest Inventory (NFI), plot-level ...
November is almost over, and that means your budget doesn't have much wiggle room left. Don't worry, we've got you covered with the best ways to save money shopping at Dollar Tree. Whether you're in ...
Background: Standard CVD risk calculators assume linear relationships among risk factors. ML methods (gradient boosting, random forests, neural networks, support vector machines) capture nonlinear ...
This research project conducts a comprehensive comparative study of Random Forest and Gradient-Boosted Trees (XGBoost, CatBoost, and LightGBM) for predicting Indonesian public university tuition fees ...
Treasury PS Chris Kiptoo and other stakeholders during tree planting in Kaptagat forest, Elgeyo Marakwet, on August 21, 2024. [File, Standard] Fifteen years ago, a group of environmental enthusiasts, ...
Flavor, a multimodal perception based on taste, smell, and tactile cues, plays a significant role in consumer preferences and purchase intentions toward coffee. In this exploratory study, we assessed ...
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