Suchergebnisse - (automatic OR automation) machinery learning algorithm based on genetic algorithms

Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis von 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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A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles von 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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A pillar-based microfluidic chip for T-cells and B-cells isolation and detection with machine learning algorithm von Bilal Turan, Taisuke Masuda, Lei Wu, Anas Mohd Noor, Koji Horio, Toshiki Saito, Yasuyuki Miyata, Fumihito Arai

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Lightweight CNN Architecture Design Based on Spatial-Temporal Tensor and Its Application in Bearing Fault Diagnosis von Wang, Zan, Lu, Hui, Shi, Yuhui, Wang, Xianpeng

“… First, a novel representation learning method (RLM) based on spatial-temporal tensors (STTs …”
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Automated data processing for efficient development of multimodal machine learning models in tool wear detection von 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 von 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 von 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 von 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 von 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 von 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 von 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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Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation von Cabrera, Diego, Sancho, Fernando, Li, Chuan, Cerrada, Mariela, Sánchez, René-Vinicio, Pacheco, Fannia, de Oliveira, José Valente

“… [Display omitted] •An automatic feature extraction method is proposed.•Manual feature extraction procedures can be replaced with deep learning approach …”
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Robots and Autonomous Machines for Agriculture Production

“… management, disease detection, crop monitoring, yield estimation, and crop harvesting. Robotics and autonomous machines represent a high-level application of automation …”
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Application and Research of Computer Intelligent Technology in Modern Agricultural Machinery Equipment von 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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Real-time recognition of spraying area for UAV sprayers using a deep learning approach von 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 von 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 von 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 von 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 von 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 von Du, Yu, Dorneich, Michael C, Steward, Brian L

“… A VOM learning capability was developed …”
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