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Energy learning hyper-heuristic algorithm for cooperative task assignment of heterogeneous UAVs under complex constraints

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
EurekAlert!

Robust semi-supervised learning in open environments

LAMDA-SSL toolkit delivers the first unified benchmarks and robust algorithms that safely exploit unlabeled data despite ...

Agnik Sparks Lab Is Bringing Deep Distributed Machine Learning to Vehicle Analytics and Beyond

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...
IEEE

A Comparative Study of Supervised Machine Learning Algorithms for Fake Review Detection

Abstract: The behavior of shopping has shifted into online shopping. Especially after Coronavirus Disease of 2019 (COVID-19), people choose online shopping rather than going to the market for economic ...
IEEE

Semi-Supervised Algorithm SoftMatch for UWB Channel State Identification Based on Continuous Wavelet Transform and Gramian Angular Field

Abstract: Ultra-wideband (UWB) technology, with its strong penetration capability and high time resolution, has become a popular wireless positioning method widely used in fields such as smart home, ...