Factor Implicit Model of Machine Classification Learning Based on Factor Space Theory by Ying Wang, Fanhui Zeng, Hui Sun, Xiaotong Liu, Kaile Lin, Kaijie Zhang

“…The algorithm proposed in this paper can not only solve the binary classification problem, but can also solve the multi-classification problem. …”
Get full text

Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…In this study, a comprehensive investigation into the parameter fitting and acoustic performance optimization of porous materials is conducted, utilizing advanced physical models, multifluid impedance transfer theory, and particle swarm optimization algorithms. This research combines experimental approaches, including impedance tube experiments, with numerical methods, such as acoustic finite element analysis, to enhance the noise control capabilities of porous materials. …”
Get full text

CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model by Li Jie, Wang Shuai, Lan Hai, Wang Zhiyong

“…This study provides theoretical research basis and engineering practice experience for the further optimization of wet brake structure.…”
Get full text

Optimizing Residential Electricity Demand with Bipartite Models for Enhanced Demand Response by Jonathan Campoverde, Marcelo Garcia Torres, Luis Tipan

“…The methodology relies on linear programming, specifically the Simplex algorithm, to optimize power distribution while minimizing costs. …”
Get full text

Scaled RTLS BRDF model extended to high zenith angles by Alexei Lyapustin, Yujie Wang, Sergey Korkin, Crystal Schaaf, Weile Wang, Zhuosen Wang

Get full text

Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

“…Furthermore, the majority of current approaches have approached feature selection as a single objective issue. This research presents an enhanced multi-objective whale optimisation algorithm-based feature selection technique as a solution. …”
Get full text

Disturbance Source Location in Power Systems Based on Time Difference of Arrival by Mengxi WEI, Ningning MA, Delin WANG, Wei DENG, Jitao KANG

Get full text

Chest pain: a review of current principles and approaches to first aid by A. A. Birkun, L. I. Dezhurny

Get full text

Re-Supplying Autonomous Mobile Parcel Lockers in Last-Mile Distribution by Sajjad Hedayati, Mostafa Setak, Tom Van Woensel, Emrah Demir

Get full text

Robust Data Reconciliation in Supercritical Carbon Dioxide Thermal Systems: From Framework Design to Performance Evaluation by Jiarui You, Yikang Liu, Yonghui Xie

Get full text

Real-time Smartphone Usage Surveillance System Based on YOLOv5 by Rr. Hajar Puji Sejati, Rodhiyah Mardhiyyah, Zulkhairi Zulkhairi, Nur Istiqomah, R. Imam Budi Prasetya

“…The dataset used in this research consists of 1,038 smartphone images from the internet and camera-captured images. …”
Get full text

SOC Estimation of Large Capacity Lithium Batteries Based on LWOA-LSTM by Hongzhong MA, Wenjing XUAN, Muyu ZHU, Yuelin CHEN

Get full text

The Model for Supporting Decision-Making During Designing Programs of Innovation Development at Enterprises of Electro-Technical Industry of Machine-Building by V. G. Anisimov, E. G. Anisimov, A. Ya. Chernysh, D. A. Melnik

“…The model and algorithm can serve as a foundation to design concrete methods of innovation development program optimization. …”
Get full text

Hybrid blowfish cryptography with elliptic curve Diffie-Hellman key exchange protocol for enhancing data security and performance by K. Vignesh Saravanan, G. Sakthi Priya

“…The implementation was carried out using MATLAB tool, ensuring reliable evaluation of encryption and decryption performance. The research work ensures optimal performance at a rate of 28.57% and also improved security standard of 33.33% compared to the traditional algorithms.…”
Get full text

Cloud-based Optimized Intelligent Substation Secondary System Rapid Test Model and System Design by Rongrong JI, Mengzhi WANG, Guowei ZHOU, Qingyao LIU, Hai LI, Ruofan HUANG

Get full text

Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept by S. Prabakaran, S. Mary Praveena

“…Here, the main goal of the recommended research is to use a unique deep learning approach to predict the osteosarcoma on histology images. …”
Get full text

Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information by Hee-Sung An, You-Chang Jeon, Sung-Wook Kim

Get full text

Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model by Zhuang Liu, Xiaotuan Li

“…Subsequently, the IFOA algorithm optimizes LSTM hyperparameters, boosting both generalization and prediction precision. …”
Get full text

Quantitative Method for Ultrasonic Testing of Lead Seal Defects in High Voltage Cable Accessories by Zheng Hai, Cai Qiushen, Zheng Jishi, Zhen Zhiming, Zou Wei, Chen Jianping

“…By focusing on the longitudinal wave fan scan images of these defects and integrating threshold segmentation with corrosion algorithms, the method provides real-time information on defect characteristics, including cross-sectional area and height. …”
Get full text

Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures by GU Qinghua, WANG Xueqing, WANG Dan, ZHANG Pengpeng, WANG Yu

“…To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.…”
Get full text