As post-quantum security moves closer to reality, efforts like Google’s Merkle Tree Certificates highlight the need to ...
Water scarcity is emerging as a major threat in contemporary agriculture, necessitating the development of innovative means ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been ...
Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...
The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
This project implements an automated assignment scheduling system using Monte Carlo Tree Search (MCTS) to optimize classroom allocation for educational courses. The system assigns courses to ...
Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
Abstract: We proposed a novel Kinematic Batch Informed Trees algorithm (K-BIT*) to solve problems of the low efficiency, poor geometric smoothness and local optimum when conducting path planning for ...
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