Search Results - Based on data-driven algorithms

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms by Zhang, Ming, Yang, Dongfang, Du, Jiaxuan, Sun, Hanlei, Li, Liwei, Wang, Licheng, Wang, Kai

“… In contrast to traditional model-based prediction methods that are complex and have limited accuracy, data-driven prediction methods, which are considered mainstream, rely on direct data analysis…”
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Active Defense Research against False Data Injection Attacks of Power CPS Based on Data-Driven Algorithms by Bo, Xiaoyong, Qu, Zhaoyang, Wang, Lei, Dong, Yunchang, Zhang, Zhenming, Wang, Da

“… This paper proposes an active defense framework against FDIAs of power CPS based on data-driven algorithms in order to ensure that FDIAs can be efficiently detected and processed in real-time…”
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Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment by Dimple, Dimple, Rajput, Jitendra, Al-Ansari, Nadhir, Elbeltagi, Ahmed

“…Ascertaining water quality for irrigational use by employing conventional methods is often time taking and expensive due to the determination of multiple…”
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Modelling of soil permeability using different data driven algorithms based on physical properties of soil by Singh, Vijay Kumar, Kumar, Devendra, Kashyap, P.S., Singh, Pramod Kumar, Kumar, Akhilesh, Singh, Sudhir Kumar

“… In the current research, five different data driven algorithms namely Multilayer Perceptron (MLP), Co-Active Neuro-Fuzzy Inference System…”
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A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems by Tao, Junjie, Wang, Shunli, Cao, Wen, Takyi-Aninakwa, Paul, Fernandez, Carlos, Guerrero, Josep M.

“… years, focusing on analyzing data-driven state estimation algorithms. At the same time, the latest Li-ion battery data sets and data selection methods are analyzed, and future research trends and possible challenges are proposed. This review will provide a valuable reference for future academic research in Li-ion battery state estimation…”
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Prediction of Li-ion battery state of health based on data-driven algorithm by Sun, Hanlei, Yang, Dongfang, Du, Jiaxuan, Li, Ping, Wang, Kai

“… SOH cannot be measured directly. In order to further improve the accuracy of Li-ion battery SOH estimation, a combined model based on health feature parameters combined with EMD-ICA-GRU is proposed to predict the SOH of Li-ion batteries…”
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Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only by Prendin, Francesco, Del Favero, Simone, Vettoretti, Martina, Sparacino, Giovanni, Facchinetti, Andrea

“…In type 1 diabetes management, the availability of algorithms capable of accurately forecasting future blood glucose (BG…”
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A Novel Combined Electricity Price Forecasting Method Based on Data Driven Algorithms by Zhnag, Liang, Zou, Bin, Wang, Hongtao

“… to predict the electricity price from the perspective of data driven. The Lasso, Random Forest, Support Vector Machine and BP Neural Network methods are used to establish…”
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A Control Algorithm for Sea–Air Cooperative Observation Tasks Based on a Data-Driven Algorithm by Hu, Kai, Chen, Xu, Xia, Qingfeng, Jin, Junlan, Weng, Liguo

“… In this paper, aiming at the first problem of the USV following the isotherm in an unknown environment, a data-driven Deep Deterministic Policy Gradient (DDPG…”
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Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins by Bajirao, Tarate Suryakant, Kumar, Pravendra, Kumar, Manish, Elbeltagi, Ahmed, Kuriqi, Alban

“…Accurate prediction of daily runoff’s dynamic nature is necessary for better watershed planning and management. This study analyzes the applicability of…”
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Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution by Zhang, Xiaoshun, Tan, Tian, Yang, Bo, Wang, Jingbo, Li, Shengnan, He, Tingyi, Yang, Lei, Yu, Tao, Sun, Liming

“…•The power output feature is analyzed under non-uniform temperature distribution.•A greedy search based data-driven method is used for maximum power point tracking…”
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Data-driven algorithm based on the scaled boundary finite element method and deep learning for the identification of multiple cracks in massive structures by Jiang, Shouyan, Deng, Wangtao, Ooi, Ean Tat, Sun, Liguo, Du, Chengbin

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Genetic Algorithm-Based Data-Driven Process Selection System for Additive Manufacturing in Industry 4.0 by Aljabali, Bader Alwomi, Shelton, Joseph, Desai, Salil

“… An automated and data-driven system is needed that can capture the AM expert knowledge base and apply it to 3D-printed parts to avoid manufacturability issues…”
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Data-Driven Evolutionary Algorithm Based on Inductive Graph Neural Networks for Multimodal Multi-Objective Optimization by Dang, Qianlong, Liu, Qiqi, Yang, Shuai, He, Xiaoyu

“… In this paper, a data-driven evolutionary algorithm based on inductive graph neural networks (DEA-IGNN) is proposed to solve MMOPs, which successfully learns the PSs topology by the graph structure to generate offspring with good performance…”
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Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data by Abbaszadeh, Omid, Azarpeyvand, Ali, Khanteymoori, Alireza, Bahari, Abbas

“…Previous efforts in gene network reconstruction have mainly focused on data-driven modeling, with little attention paid to knowledge-based approaches…”
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Multi-objective optimisation of machining process parameters using deep learning-based data-driven genetic algorithm and TOPSIS by Wu, Pengcheng, He, Yan, Li, Yufeng, He, Jingsen, Liu, Xueqian, Wang, Yulin

“… Therefore, this paper proposes a deep learning based data-driven genetic algorithm and TOPSIS for multi objective optimisation of machining process parameters and searching the final…”
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Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates by Li, Jian-Yu, Zhan, Zhi-Hui, Wang, Hua, Zhang, Jun

“…Data-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates to drive optimization, which is useful and efficient when the objective function of the optimization problem is expensive or difficult to access…”
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A data‐driven bond‐based peridynamic model derived from group method of data handling neural network with genetic algorithm by Yu, Xiang‐Long, Zhou, Xiao‐Ping

“…In the governing equation of motion of bond‐based peridynamics, the acceleration of a material point can be considered as the response function of all the…”
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Practical options for selecting data-driven or physics-based prognostics algorithms with reviews by An, Dawn, Kim, Nam H., Choi, Joo-Ho

“… To achieve this goal, several popular algorithms are first reviewed in the data-driven and physics-based prognostics methods. Each…”
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Industrial Efficiency Algorithm Based on Spatio-Temporal-Data-Driven by Lv, Hongqu, Cheng, Wensi

“… To solve this series of problems, one possible idea is to design a spatial data mining process based on stochastic frontier analysis…”
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