“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The future of urban green space might be written in code, according to research in the International Journal of ...
A robust, from-scratch implementation of the CART (Classification and Regression Trees) algorithm for classification tasks, developed as part of the DATA2060 Machine Learning course. ├── data/ # Train ...
Computers are extremely good with numbers, but they haven’t gotten many human mathematicians fired. Until recently, they could barely hold their own in high school-level math competitions. But now ...
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 ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Abstract: The traditional informed rapidly exploring random tree * algorithm (IRRT*) has several drawbacks, including low efficiency, numerous ineffective samples, strict requirements of the ...
Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...
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