Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...

New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...

Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Abstract: With the advancement of the Internet of Things (IoT) and the rise of smart cities, achieving efficient and accurate indoor localization has become essential for indoor location-based ...

Abstract: This paper explores Taylor Series Expansion and Radial Basis Function (RBF)approximation methods for solving optimization problems. Ten benchmark functions are tested using Sequential ...