Effective Processing of Radar Data for Bridge Damage Detection by Tomasz Owerko, Przemysław Kuras

“…This type of data, often omitted in other works, forms the basis for the second important element of the research—an algorithm based on the ARMA model supporting defect detection. …”
Get full text

Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

“…The Particle Swarm Optimization algorithm is used for selecting the informative features from gray and colour and texture features. …”
Get full text

Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing by Changbo Ke, Zhiqiu Huang, Weiwei Li, Yi Sun, Fangxiong Xiao

“…Thirdly, we present the algorithm of detecting privacy conflict in the process of cloud service composition and prove the correctness and feasibility of this method by case study and experiment analysis. …”
Get full text

Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…The standard back propagation algorithm with momentum term has been proposed in this model. …”
Get full text

Identification of Key Factors and Mining of Association Relations in Complex Product Assembly Process by Huibin Zhang, Mingwei Wang, Wei Deng, Jingtao Zhou, Lei Liu, Jianfeng Li, Rong Li

“…Based on the key factor identification results using an Apriori algorithm to mine the association rules between key factors and performance to provide guidance for the assembly of complex products and achieve transparent and controllable performance. …”
Get full text

Distributed Joint Cluster Formation and Resource Allocation Scheme for Cooperative Data Collection in Virtual MIMO-Based M2M Networks by Xi Luan, Jianjun Wu, Yuxin Cheng, Haige Xiang

“…Since the optimization problem on this issue is an NP-hard problem, a feasible joint scheme for the cluster formation and resource allocation is proposed in this paper, which is carried out via coalition formation game with a distributed algorithm. This scheme can reduce the complexity while keeping an attractive performance. …”
Get full text

Forecasting Chinese Wind Power Installed Capacity Using a Novel Grey Model with Parameters Combination Optimization by Xiaoshuang Luo, Bo Zeng, Hui Li, Wenhao Zhou

“…Firstly, considering the modeling mechanism and process, the order of accumulation generation of the grey prediction model is optimized by Particle Swarm Optimization (PSO) Algorithm. Secondly, as different orders of accumulation generation correspond to different parameter matrixes, the background value coefficient of the grey prediction model is optimized based on the optimal accumulation order. …”
Get full text

Timetable Design for Urban Rail Line with Capacity Constraints by Yu-Ting Zhu, Bao-Hua Mao, Lu Liu, Ming-Gao Li

“…Then, based on the simulation results, a two-stage genetic algorithm is introduced to find the best timetable. …”
Get full text

Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection by Iftikhar Ahmad, Muhammad Hamid, Suhail Yousaf, Syed Tanveer Shah, Muhammad Ovais Ahmad

“…Inception V3 is identified as the best performing algorithm on both datasets.…”
Get full text

A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter by Adel Ab-BelKhair, Javad Rahebi, Abdulbaset Abdulhamed Mohamed Nureddin

“…The main objective of this paper is to propose a new algorithm that is based on deep neural network (DNN) and maximum power point tracking (MPPT), which was simulated in a MATLAB environment for photovoltaic (PV) and wind-based power generation systems. …”
Get full text

A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…A metaheuristic quantum binary particle swarm optimization (PSO) is developed via Benders decomposition algorithm to solve the proposed model. To evaluate the convergence rate and solution quality, the method is applied to some random test instances generated in the literature. …”
Get full text

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information by Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen

“…The performance of four intensity-only registration algorithms was compared with and without adding the vesselness similarity cost function. …”
Get full text

Bilevel Programming for Traffic Signal Coordinated Control considering Pedestrian Crossing by Dawei Li, Yuchen Song, Qiong Chen

“…Finally, the bilevel programming problem which fuses the above two models is determined; by coding an algorithm, it can be resolved. Furthermore, taking eight signalized intersections from Jiming Temple to Daxinggong along Nanjing Metro Line 3 as the actual background, the calculation and optimization of coordinated control are carried out. …”
Get full text

Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units by Kehe Wu, Huan Zhou, Jizhen Liu

“…Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. …”
Get full text

Shortest-Path Optimization of Ship Diesel Engine Disassembly and Assembly Based on AND/OR Network by Deng-Zhi Chen, Chen Wei, Guo-Ling Jia, Zhi-Hua Hu

“…The breadth-first shortest-path algorithm outperforms the MILP solver from the perspective of solution quality and computing time, and all developed algorithms are competitive in terms of computing time.…”
Get full text

An Innovative Aircraft Skin Damage Assessment Using You Only Look Once-Version9: A Real-Time Material Evaluation System for Remote Inspection by Kuo-Chien Liao, Jirayu Lau, Muhamad Hidayat

“…The system utilizes the real-time object detection capabilities of the you only look once-version 9 (YOLO v9) algorithm, combined with imagery captured from an unmanned aerial vehicle (UAV)-based aerial platform. …”
Get full text

: Mobility-Centric Roadside Units Deployment for Vehicular Networks by Yongping Xiong, Jian Ma, Wendong Wang, Dengbiao Tu

“…By reducing it into the minimum vertex coverage problem, we show that the RSU deployment problem is NP-complete. Then, a heuristic algorithm RoadGate is proposed to search greedily the optimal positions. …”
Get full text

Study on the Effect of Amygdales on Mechanical Characteristics of Basalt Using the Combined Finite-Discrete Element Method by Shirui Zhang, Shili Qiu, Ping Li, Yongyuan Kou, Pengfei Kou

“…Then, the heterogeneous models (HMs) with prescribed geometric features were generated by the inverse Monte-Carlo (IMC) algorithm. The uniaxial compression experiments based on HMs were conducted to study the mechanism of the crack initiation and propagation in the amygdaloidal basalt. …”
Get full text

Multilevel Feature Extraction Method for Adaptive Fault Diagnosis of Railway Axle Box Bearing by Zhigang Liu, Long Zhang, Guoliang Xiong

“…The Q factor is optimized using the gray wolf optimization algorithm (GWO) to obtain an adaptive sparse decomposition method (GWO-RSSD) for extracting bearing transient fault shocks to eliminate the signal effects of high-amplitude disturbance shocks and background noise. …”
Get full text

Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network by Liping Fan, Pengju Yang

“…Finally, the weights and biases of the forecasting model were optimized by the improved cuckoo search algorithm. The results showed that the BP network optimized by the improved cuckoo search optimization enhanced the global search ability, avoided the local optima, quickened the convergence speed, and presented excellent performance in load forecasting. …”
Get full text