Results 101 to 110 of about 79,920 (249)
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan +8 more
wiley +1 more source
Particle swarm optimization (PSO) is one of the most popular, nature inspired optimization algorithms. The canonical PSO is easy to implement and converges fast, however, it suffers from premature convergence.
Anping Lin, Wei Sun
doaj +1 more source
Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow. [PDF]
Babanezhad M +6 more
europepmc +1 more source
Nonlinear system identification and control using state transition algorithm
By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solve the problems.
Alfi +24 more
core +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Kajian terhadap ketahanan hentaman ke atas konkrit berbusa yang diperkuat dengan serat kelapa sawit [PDF]
Konkrit berbusa merupakan sejenis konkrit ringan yang mempunyai kebolehkerjaan yang baik dan tidak memerlukan pengetaran untuk proses pemadatan. Umum mengenali konkrit berbusa sebagai bahan binaan yang mempunyai sifat kekuatan yang rendah dan lemah
Hassan, Hashimah Kho
core
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon +5 more
wiley +1 more source
Dynamic Shannon Performance in a Multiobjective Particle Swarm Optimization
Particle swarm optimization (PSO) is a search algorithm inspired by the collective behavior of flocking birds and fishes. This algorithm is widely adopted for solving optimization problems involving one objective.
E. J. Solteiro Pires +2 more
doaj +1 more source
This study validates a DFT‐employed screening approach for discovering new adsorbent materials for organic dyes, successfully identifying CCTAT POP as a highly effective adsorbent for Congo red dye. The POP material exhibits a superior adsorption capacity (46.51 mg g−1) and maintains a regeneration ability, achieving over 90% removal efficiency in ...
Silpa Elizabeth Peter +4 more
wiley +1 more source
Simulate anneal-particle swarm optimization(SA-PSO) is a simple and efficient stochastic global optimization algorithm,and simulated annealing is involved into particle swarm optimization(PSO) with Crossover and Gaussian mutation.The reliability ...
郑严, 程文明, 程跃, 吴晓
doaj

