Which Machine Learning Models Are Most Used In Crypto Signal Generation?

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 ...

How Does Pattern Recognition In Machine Learning Revolutionize AI-Powered Crypto Trading?

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random data into useful signals, enabling traders to make better, quicker, and ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Devdiscourse

Energy-Efficient AI Framework Revolutionizes Cybersecurity for Smart and IoT Infrastructures

Researchers from the University of South Florida and partner institutes developed the DynBAS-AWRF Tree, an AI-powered, energy ...
University of Surrey

Xiaolong Han

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 ...
Frontiers

Comparative Evaluation of Fast-Learning Classification Algorithms for Urban Forest Tree Species Identification Using EO-1 Hyperion Hyperspectral Imagery

The final, formatted version of the article will be published soon. Abstract— Accurate identification of forest tree species is vital for sustainable forest management, biodiversity assessment, and ...
Albert Lea Tribune

The Smoking Tree owner files with Court of Appeals over council's decision

The owner of The Smoking Tree on Wednesday filed an appeal with the Minnesota Court of Appeals regarding the Albert Lea City Council's decision to deny his cannabis retail registration, arguing that ...
Inside Higher Ed

The Service Decision Tree

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...
C&EN

Discovery of Potential Tyrosinase Inhibitors via Machine Learning and Molecular Docking with Experimental Validation of Activity and Skin Permeation

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Natural product libraries represent an ideal source for ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
GitHub

ML Algorithm Selector GUI

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...