A hybrid machine learning and metaheuristic framework optimizes sludge, fly ash, slag, and gypsum mixtures to improve compressive strength. The approach enables sustainable sludge reuse, reduces waste ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Liquefied Petroleum Gas (LPG) is a crucial energy source, widely utilized in ...

Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China Key ...

Abstract: To estimate blood pressure (BP) from continuous pulse wave data, this paper proposes a novel BP estimation algorithm based on support vector regression (SVR). The algorithm comprises two ...

摘要: To improve the accuracy of predicting non-invasive blood glucose concentration in the near-infrared spectrum, we utilized the Particle Swarm Optimization (PSO) algorithm to optimize ...

Abstract: Aiming at the characteristics of high randomness and strong fluctuation of wind power, a support vector regression model PSO-SVR was optimized by particle swarm optimization algorithm.

The process of descriptor calculation is the basis of constructing QSAR models. First, the structures of these compounds were drawn using ChemDraw software. The result file was then imported into ...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...

Due to the instability of α type HMX at low concentrations, it belongs to the impurity crystal form. To ensure the functional effectiveness, operational reliability and management safety of HMX, it is ...

Accurate and timely monthly rainfall forecasting is a major challenge for the scientific community in hydrological research such as river management project and design of flood warning systems.