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 ...
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 ...
Scientific Research Publishing

Priyanka, N.A. and Kumar, D. (2020) Decision Tree Classifier: A Detailed Survey. International Journal of Information and Decision Sciences, 12, 246-269.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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 ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...