Search Results - automation machinery learning algorithm based on genetic algorithms~

A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles by He, Lijun, Chiong, Raymond, Li, Wenfeng, Budhi, Gregorius Satia, Zhang, Yu

“… and total energy consumption of both machines and AGVs. To solve this problem, an effective multiobjective evolutionary algorithm (EMOEA) is developed…”
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Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis by Peng, Bo, Wan, Shuting, Bi, Ying, Xue, Bing, Zhang, Mengjie

“… In this article, a novel diagnosis approach based on evolutionary learning, namely, automatic feature extraction and construction using genetic programming (AFECGP…”
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Automated data processing for efficient development of multimodal machine learning models in tool wear detection by Valizadeh Sotubadi, Saleh, Mahjourian, Nazanin, Nguyen, Vinh

“… For this purpose, the ADP framework was designed based on a higher-level decision-making unit and a lower-level machine learning unit to select the best set of data processing methods, ML models…”
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A controller of robot constant force grinding based on proximal policy optimization algorithm by Wang, Qichao, Chen, Linlin, Sun, Qun, Wang, Chong, Wei, Yanxia

“… controller that based on proximal policy optimization was proposed. Training the controller model between grinding force difference and end-effector compensation displacement using the proximal policy optimization algorithm…”
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Dynamic prediction and multi-objective optimization on driving position of tunnel boring machine (TBM): an automated deep learning approach by Pan, Yue, Wang, Ziyi, Sun, Lin, Chen, Jin-Jian

“…This paper proposes an automated deep learning (AutoDL) framework for dynamic prediction and multi-objective optimization (MOO…”
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Bearing Fault Diagnosis Based on Artificial Intelligence Methods: Machine Learning and Deep Learning by Ghorbel, Ahmed, Eddai, Sarra, Limam, Bouthayna, Feki, Nabih, Haddar, Mohamed

“…) methods, specifically machine learning and deep learning, for the diagnosis of bearing faults…”
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An improved wrapper-based feature selection method for machinery fault diagnosis by Hui, Kar Hoou, Ooi, Ching Sheng, Lim, Meng Hee, Leong, Mohd Salman, Al-Obaidi, Salah Mahdi

“… Thus, machine learning has been adapted for machinery fault diagnosis. The quantity and quality of the input features, however, influence the fault classification performance…”
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Deep Learning‐Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard‐to‐Transfect Cells by Mukherjee, Prithvijit, Patino, Cesar A., Pathak, Nibir, Lemaitre, Vincent, Espinosa, Horacio D.

“… A critical step in many such studies is the intracellular delivery of the gene editing machinery and the subsequent manipulation of cells…”
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Enhancing Fault Detection in CNC Machinery: A Deep Learning and Genetic Algorithm Approach by Mbilong, Paul Menounga, Aarab, Zineb, Belouadha, Fatima-Zahra, Kabbaj, Mohammed Issam

“…This paper introduces a deep learning-based approach (DLBA) tailored for fault detection and condition monitoring in industrial machinery…”
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Real-time recognition of spraying area for UAV sprayers using a deep learning approach by Khan, Shahbaz, Tufail, Muhammad, Khan, Muhammad Tahir, Khan, Zubair Ahmad, Iqbal, Javaid, Wasim, Arsalan

“… Therefore, the study’s objective was to develop an accurate real-time recognition system of spraying areas for UAVs, which is of utmost importance for UAV-based sprayers…”
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Prediction of machine tool spindle assembly quality variation based on the stacking ensemble model by Liu, Min-Sin, Kuo, Ping-Huan, Chen, Shyh-Leh

“… Feature selection is performed using a correlation model to identify important features, and various lightweight supervised learning algorithms are applied to analyze the data…”
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Small target detection of bearing surface defects based on improved YOLOv5s by Xu, Haisong, Shi, Xiaolin, Zhang, Han, Yang, Fan, Chen, Yun

“…In the context of industrial automation, the accurate detection of small defects on bearing surfaces…”
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A New Fuzzy TOPSIS-Based Machine Learning Framework for Minimizing Completion Time in Supply Chains by Alazemi, Fahad Kh A O H, Ariffin, Mohd Khairol Anuar Bin Mohd, Mustapha, Faizal Bin, Supeni, Eris Elianddy Bin

“… Then, in the next phase, a supervised machine-learning algorithm is proposed to classify the production alternatives according to their actual status of the effective internal factor…”
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Optimization of Process Control Parameters for Fully Mechanized Mining Face Based on ANN and GA by Zhao, Hongze, Xu, Zhihai, Li, Qi, Pan, Tao

“… In order to solve this problem, the study proposes a process control parameter optimization method based on a mixed strategy of artificial neural network and genetic algorithm and uses a cross…”
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Development of a Learning Capability in Virtual Operator Models by Du, Yu, Dorneich, Michael C, Steward, Brian L

“… A VOM learning capability was developed…”
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Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach by Saha, Dip Kumar, Hoque, Md Emdadul, Badihi, Hamed

“…The bearing is an essential component of a rotating machine. Sudden failure of the bearing may cause an unwanted breakdown of the manufacturing plant. In this…”
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Research on rapier loom fault system based on cloud-side collaboration by Xiao, Yanjun, Wang, Kuan, Liu, Weiling, Peng, Kai, Wan, Feng

“… Based on this, this paper presents an in-depth study of rapier loom fault diagnosis system and proposes a rapier loom fault diagnosis method combining edge expert system and cloud-based rough set and Bayesian network…”
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Application and Research of Computer Intelligent Technology in Modern Agricultural Machinery Equipment by Zhou, Hongyu, Liu, Jinqi, Huang, Fan

“…Every country, including China, is deeply concerned and interested in the topic of agricultural machinery automation…”
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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents by Pircher, Thomas, Pircher, Bianca, Feigenspan, Andreas

“… However, the complexity of synaptic current trajectories has either precluded an in-depth analysis or it has forced human observers to resort to manual or semi-automated approaches based…”
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A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm by Bilal Turan, Taisuke Masuda, Lei Wu, Anas Mohd Noor, Koji Horio, Toshiki Saito, Yasuyuki Miyata, Fumihito Arai

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