Integrated Reliability Assessment and Optimal Reconfiguration of Islanded Microgrids Under Load Growth Using Fick’s Law Optimization Algorithm and Long Short-Term Memory Tec... by Hieu M. Pham, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan, Corina Barbalata

“…To address the complex, mixed-variable nature of the reconfiguration problem, the Fick’s Law Optimization (FLO) algorithm is proposed. The FLO algorithm is compared with other metaheuristic algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) algorithm, Non-dominated Sorting Genetic Algorithm II (NSGA-II), Artificial Bee Colony (ABC) algorithm, Grey Wolf Optimizer (GWO) algorithm, Equilibrium Optimizer (EO) algorithm, Runge-Kutta Optimizer (RUN) algorithm, and Honey Badger Algorithms (HBA) demonstrating superior performance in convergence speed, exploration–exploitation balance, and global optimality. …”
Get full text

Temperature Correction of Broadband Power Detectors Based on Low-Barrier Diodes by V. G. Nechaev, A. S. Zagorodny, A. I. Dobrikov

“…The article is devoted to investigation of microwave power converter temperature dependence caused by changes in the current-voltage characteristic of diodes. The analytical expressions are given for such diode parameters as junction resistance and diode saturation current that allow to estimate temperature influence on diode detector output voltage. …”
Get full text

The reform of the teaching mode of aesthetic education for university students based on digital media technology by Yan Jiayue

“…In response to the current problems in teaching aesthetic education, such as a single teaching method and lack of innovation, the study uses digital media technology to improve it. …”
Get full text

A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

“…In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. …”
Get full text

The Concept of Quantum Teleportation for Remote Control of a Car-like Mobile Robot by Joslin Numbi, Nadjet Zioui, Mohamed Tadjine

Get full text

Propagation characteristics of stress waves induced by underground blasting under the influence of rock-soil interfaces by Xianzhong Meng, Chuanbo Zhou, Nan Jiang, Zhen Zhang, Yumin Yang, Di Wu

“…Due to mechanical differences between soil and rock, the stress waves generated by underground blasting undergo intense polarization when crossing the rock-soil interface, making propagation laws difficult to predict. Currently, the characteristics of the impact of the rock-soil interface on blasting stress waves remain unclear. …”
Get full text

Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling by Genlai Zhang, Lei Wang, Zhilong Deng, Xuanbo Liu, Xichao Su, Haixu Li, Chen Lu, Kai Liu, Xinwei Wang

“…Aiming at an efficient solution, an improved firefly algorithm is designed by integrating multiple evolutionary operators. …”
Get full text

CALCULATION OF AERIAL CABLE SPACER COMPRESSION FORCES IN BUNDLED PHASES DURING SHORT CIRCUIT FAULT by I. I. Sergey, Ya. V. Potachits

Get full text

Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

“…In the current paper, an analysis of magnetohydrodynamic Williamson nanofluid boundary layer flow is presented, with multiple slips in a porous medium, using a newly designed human-brain-inspired Ricker wavelet neural network solver. …”
Get full text

The Scientific Landscape of Hyper-Heuristics: A Bibliometric Analysis Based on Scopus by Helen C. Peñate-Rodríguez, Gilberto Rivera, J. Patricia Sánchez-Solís, Rogelio Florencia

“…The findings of this study provide valuable insights into the current literature in hyper-heuristic research and offer guidance for novice and experienced researchers.…”
Get full text

Predictive Direct Power Control of Single-phase Power Electronic Transformer Rectifier by SONG Pingang, ZHU Weichang, GE Wang

“…First of all, virtual quartered current and voltage were constructed and then decomposed in the d-q coordinate system to get the side voltage and side current. …”
Get full text

Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning by Mujahid Ali

“…This imbalance poses a significant challenge to both traditional and machine learning (ML) techniques. Therefore, the current study used the Synthetic Minority Oversampling Technique (SMOTE) to balance the TMC dataset and used several ML algorithms such as random forest (RF), decision tree (DT), Extreme Gradient Boosting (XGBoost), K-nearest Neighbors (KNN), and logistic regression for the prediction of TMC. …”
Get full text

DISEÑO DE UN PICOSATÉLITE PARA EL MONITOREO Y PREDICCIÓN DEL COMPORTAMIENTO DE INCENDIOS FORESTALES by Miguel Felipe Cano Bogotá, Valeria Navarro Lizcano, Ricardo Andrés Santa Quintero

Get full text

Parameter Self-tuning of Machine Side PI Controller in Wind Power System Based on Particle Swarm Optimization by ZHENG Liang, ZHANG Xizheng, LIU Zhihua, SHU Conghui, LU Zhangyu

“…It established a motor side model of wind power generation system by adopting particle swarm optimization (PSO), and used error performance index of the model as the fitness value of the algorithm. Powerful optimization ability of PSO is used to self-tune the parameters of PI controller in the model, thus the parameter tuning problem is transformed into the algorithm optimization problem. …”
Get full text

Financial Market Evaluation Utilizing an Optimized Deep-Learning Model: A Case Study of the Nikkei 225 by Karthikeyan M P

“…The precision of the stock market forecasts can be improved using metaheuristic algorithms such as the Moth-flame optimizer, which will provide the best optimization of the hyperparameters for an LSTM model. …”
Get full text

TEST BENCH FOR STUDYING CHARACTERISTICS OF INTEGRATED CIRCUIT CHIPS OF SECONDARY REGULATED CHARGE PUMP POWER SUPPLY by V. K. Bityukov, A. A. Ivanov, A. V. Mironov, N. G. Mikhnevich, V. S. Perfiliev, V. A. Petrov

“…One of the major goals of the research is to study algorithms of the charge pump circuits. A program for controlling the test bench by creating a virtual front panel was developed. …”
Get full text

Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018–2022) by Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

Get full text

Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…According to the error between the current prediction result and the real result, the contribution of each neuron to the error is calculated in reverse. …”
Get full text

A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion by Yuhang Wang, Dengxuan Li, Wenwen Ma, Xi Zhang, Honglu Zhu

Get full text

Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…This article describes current deep learning research using the CWRU bearing dataset to diagnose machinery faults precisely. …”
Get full text