Abstract: The effectiveness and flexibility of greedy algorithms are comprehensively explored and proven in the current study, with an analysis of application examples in a series of optimization ...
This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...
Renewable energy (RE) offers a promising solution to address the electricity shortages in isolated and rural areas. Microgrid (MG) can incorporate various energy sources, including renewable ...
Abstract: The Python Testbed for Federated Learning Algorithms is a simple Python FL framework that is easy to use by ML&AI developers who do not need to be professional programmers and is also ...
Abstract: This research aims to explore the use of modern complex defensive machine learning algorithms in the provision of predictive analytics for health improvement. Incorporating electronic health ...
Abstract: Permanent magnet (PM) electrical machines are an ever increasingly utilised motor topology for numerous industries such as automotive, aerospace, manufacturing, energy and premium consumer ...
Abstract: This paper aims to explore seven commonly used optimization algorithms in deep learning: SGD, Momentum-SGD, NAG, AdaGrad, RMSprop, AdaDelta, and Adam. Based on an overview of their theories ...
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