Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.
Abstract: Iterative decoding algorithms based on the alternating direction method of multipliers (ADMM) decoding of low density parity check (LDPC) codes has emerged as an alternating decoding method ...
Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...
Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...
Nowadays, corrosion severely affects concrete due to various factors, such as exposure to chlorides, carbonation, moisture penetration, cracking and chemical exposure. Many researchers have ...
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