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MyJournals.org - Science - 'Energies, Vol. 16, Pages 4971: HyMOTree: Automatic Hyperparameters Tuning for Non-Technical Loss Detection Based on Multi-Objective and Tree-Based Algorithms' (Energies)

MyJournals.org - Science - Energies, Vol. 16, Pages 4971: HyMOTree: Automatic Hyperparameters Tuning for Non-Technical Loss Detection Based on Multi-Objective and Tree-Based Algorithms (Energies)
Deep Learning Based Smart Meters Advanced Metering Infrastructure Decision Tree Random Forest Ymotree

India-US Join Hands for Developing AI-Enabled Platform For Cancer Diagnosis; Fight Diabetes

The use of AI in the medical field is all set to rise in the coming days. With that in mind the ongoing visit of Indian Prime Minister Narendra Modi to the Unites States has led to the signing of deals between the two countries in the use of AI to diagnose diseases like cancer and diabetes at the earliest. , Health News, Times Now
United States Narendra Modi Indian Council Of Medical Research Us National Cancer Institute Us National Institute Of Diabetes Generative Adversarial Networks

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"A hyperspectral evaluation approach for quantifying salt-induced weath" by Haiqing Yang, Chiwei Chen et al.

Salt-induced weathering is a common phenomenon in stone relics, and its traditional artificial evaluation of severity is greatly affected by subjective consciousness and lacks systematic standards. Here, we propose a hyperspectral evaluation method for quantifying salt-induced weathering on sandstone surfaces in laboratory tests. Our novel approach consists of two parts: data acquisition of microscopic observations of sandstone in salt-induced weathering environments, and machine learning techno...
Kmeans Pca Artificial Neural Network Random Forest Support Vector Machine K Nearest Neighbors Dazu Rock
Source: uow.edu.au

MyJournals.org - Science - 'Remote Sensing, Vol. 15, Pages 2915: A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia' (Remote Sensing)

MyJournals.org - Science - Remote Sensing, Vol. 15, Pages 2915: A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia (Remote Sensing)
New Zealand European Union Random Forest Short Wave Infrared Conditional Latin Hypercube Sampling Ulti Variable

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