A Novel Energy Consumption Prediction Model Integrating Real-Time Traffic State Recognition and Velocity Prediction of BEVs by Yue Li, Yu Jiang, Jianhua Guo, Dong Xie

“…Consequently, we propose an improved Fuzzy C-Means (FCM) clustering algorithm that use historical traffic data and dynamic traffic information accurately identify traffic conditions. …”
Get full text

A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

“…Fourier-transform infrared (ATR-FTIR) spectroscopy technology was applied, and partial least squares regression (PLSR) and backpropagation artificial neural network (BP-ANN) algorithms were used in the current study. …”
Get full text

Formation of a heterogeneous group of UAVS with a reasonable number of false and real drones by Volodymyr Prymirenko, Andrii Demianiuk, Roman Shevtsov, Serhii Bazilo, Andrey Pilipenko, Mykola Vovchanskyi

“…The obtained formulas and algorithms were verified by computer simulation using the Monte Carlo method. …”
Get full text

CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

“…The work provides foundational insights for scaling sustainable co-processing systems that address sludge disposal challenges and biomass utilization.MethodsNumerical simulations employed Barracuda™ VR 17.3.0's Multi-Phase Particle-in-Cell (MP-PIC) algorithm, resolving gas-solid reactive flows in a 3D reactor comprising a lower cylindrical section (Ø0.7 m×H1.7 m), upper expansion zone (Ø1.3 m× H3.8 m), and conical transition (H0.5m). …”
Get full text

Integrating Active Disturbance Rejection Control and Input Shaping for Enhanced Vibration Control of Warehouse Single Mast Stacker Crane by Thi Ly Tong, Duy Canh Nguyen, Minh Duc Duong

“…To conduct this study, a system of partial differential equations has been developed to model the single mast stacker crane. …”
Get full text

THE INFLUENCE OF STORE ATMOSPHERE AND CUSTOMER EXPERIENCE ON PURCHASING DECISIONS THROUGH CUSTOMER SATISFACTION AS AN INTERVENING VARIABLE by Defitri Karunia Agustin, Roudlotul Badi’ah

“…With 100 respondents selected using purposeful sampling using the Lemeshow algorithm, this study uses a quantitative methodology. …”
Get full text

An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles by Ruichong Gu, Zilong Peng, Yaqiang Xue, Cong Xu, Changxiong Chen

“…By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. …”
Get full text

On the adaptability of ensemble methods for distributed classification systems: A comparative analysis by Mónica Villaverde, David Aledo, David Pérez, Félix Moreno

“…Therefore, the artificial neural network and the plurality majority algorithm are compared against our two proposed adaptive algorithms. …”
Get full text

From platform provider to big-data-enabled financier: Industrial upgrading in China’s hog sector by Yuxing Zhang

“…The process constructs a feedback-loop system that embeds farming operations within the platform ecosystem, making them susceptible to data-driven, algorithm-aided control. The dual processes of platformization and financialization can lead to two key consequences. …”
Get full text

The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…In this paper, the development and application of the radial basis function-finite difference (RBF-FD) method and the RBF-finite difference time domain (RBF-FDTD) method for solving electrical transient problems in power systems that are defined by the time-dependent ordinary differential equations (ODEs) and the time-dependent partial differential equations (PDEs), respectively, are presented. …”
Get full text

Design Optimization of Parameters for Resolver Software Decoding Based on Surrogate Model Management by DENG Yu, LING Yuelun, WU Zuolai, PENG Zaiwu, WANG Jun

“…Next, a surrogate model was constructed for the software decoding system, using the Latin hypercube design (LHD) method and based on a radial basis function. Finally, a genetic algorithm (GA) was utilized to optimize parameters in the resolver software decoding system through a solving process, and a partial encryption method was introduced to iteratively update the surrogate model, yielding a partially optimal solution that meets the error requirements. …”
Get full text

Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Furthermore， a multi-objective evolutionary algorithm is employed to solve this problem， and multiple Pareto optimal solutions are obtained.…”
Get full text

An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification by Zhaohui Cen

“…Unfortunately, conventional MPPT algorithms such as perturb and observe (P&O), incremental conductance, and current sweep method need to iterate command current or voltage and frequently operate power converters with associated losses. …”
Get full text

Fluid Dynamics of Biomimetic Pectoral Fin Propulsion Using Immersed Boundary Method by Ningyu Li, Yumin Su

“…The fin wake is dominated by a three-dimensional dual-ring vortex wake structure where the partial power-stroke vortex ring is linked to the recovery-stroke ring vertically. …”
Get full text

Raman Hyperspectroscopy and Chemometric Analysis of Blood Serum for Diagnosing Celiac Disease in Adults by Entesar Al-Hetlani, Lamyaa M. Almehmadi, Igor K. Lednev

“…Nevertheless, genetic algorithm combined with partial least squares discriminant analysis (GA-PLS-DA) allowed differentiation with 92% sensitivity and 96% specificity at the spectral level in external validation. …”
Get full text

Digital Synthesis of Sound Generated by Tibetan Bowls and Bells by Andrzej GOŁAŚ, Roman FILIPEK

“…A coupled mechanical-acoustic field described by partial differential equations was discretized by using the Finite Element Method (FEM) implemented in the ANSYS package. …”
Get full text

Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations f... by Paul C. Okonkwo, Samuel Chukwujindu Nwokolo, Saad S. Alarifi, Stephen E. Ekwok, Rita Orji, Sunday O. Udo, Ahmed M. Eldosouky, El Manaa Barhoumi, Barun Kumar Das, David Gomez-Ortiz, Kamal Abdelrahman, Anthony E. Akpan

“…The study employs advanced optimization techniques, including the Mayfly Algorithm, Genetic Algorithm, CUKO Search, Gray Wolf Optimizer (GWO), Constrained Particle Swarm Optimization (CPSO), Harmony Search (HS), and Flower Pollination Algorithm to determine the most viable hybrid energy system for the HRS in Nizwa. …”
Get full text

Prediction of compressive strength and characteristics analysis of semi-flexible pavement desert sand grouting material based upon hybrid-BP neural network by Wenbang Zhu, Yuhang Li, Xiumei Zheng, Enze Hao, Dali Zhang, Zhen Wang

“…To precisely obtain DSGM exhibiting exceptional mechanical properties, the Backpropagation Neural Network (BPNN) model was optimized through the utilization of Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), and Genetic Algorithm (GA). …”
Get full text

Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…Additionally, to balance computational efficiency and accuracy, the genetic algorithm was selected as the optimization algorithm for hyperparameter tuning, outperforming grid search, Bayesian optimization, and particle swarm optimization algorithms. …”
Get full text

Comparative performance evaluation of quartz and snail shell powders modified concrete: Mechanical, machine learning, and microstructural assessments by Md. Habibur Rahman Sobuz, Md. Kanan Chowdhury Tilak, SM Arifur Rahman, Fahim Shahriyar Aditto, Faiz Uddin Ahmed Shaikh, Md. Kawsarul Islam Kabbo, M Jameel, Md. Munir Hayet Khan

“…This paper presents the effect of snail shell powder (SSP) and quartz powder (QP) as a partial replacement of cement to reduce the impact on the environmental footprint of concrete. …”
Get full text