Suchergebnisse - "Gath–Geva clustering algorithm"

Implementation of the Gath-Geva Clustering Algorithm in the Clustering Districts/Cities in Central Sulawesi Based on Public Health Development Indicators

Autoren: Nichen Grasya Peso’a null Rais Nurul Fiskia Gamayanti

Quelle: Advances in Physics Research ISBN: 9789464632279

Gath-Geva clustering algorithm for high performance computing (HPC) monitoring

Autoren: Saloua El Yahyaouy Hamid Gualous Jalal Sabor et al.

Quelle: 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS). :1-6

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://xplorestaging.ieee.org/ielx7/8937389/8942231/08942390.pdf?arnumber=8942390
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8942390

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label

Autoren: Fan Xu Wai tai Peter Tse Yiu Lun Tse

Quelle: Applied Soft Computing. 73:898-913

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S1568494618305544
https://dblp.uni-trier.de/db/journals/asc/asc73.html#XuTT18
https://doi.org/10.1016/j.asoc.2018.09.037

Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic Gath–Geva clustering algorithm

Autoren: Xiaohong Wu Haoxiang Zhou Bin Wu et al.

Quelle: Journal of Food Processing and Preservation. 44

Schlagwörter: 0404 agricultural biotechnology, 04 agricultural and veterinary sciences, 0405 other agricultural sciences

Zugangs-URL: https://ifst.onlinelibrary.wiley.com/doi/abs/10.1111/jfpp.14561

A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance

Autoren: Xiaohong Wu Haoxiang Zhou Tingfei Zhang et al.

Quelle: Expert Systems with Applications. 184:115550

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Zugangs-URL: https://dblp.uni-trier.de/db/journals/eswa/eswa184.html#WuZWZ21
https://www.sciencedirect.com/science/article/pii/S0957417421009568

Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label.

Autoren: Xu, Fan Tse, Wai tai Peter Tse, Yiu Lun

Quelle: Applied Soft Computing. Dec2018, Vol. 73, p898-913. 16p.

Schlagwörter: Principal components analysis, Deep learning, Clustering of particles, Debugging, Entropy (Information theory)

Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic Gath–Geva clustering algorithm.

Autoren: Wu, Xiaohong Zhou, Haoxiang Wu, Bin et al.

Quelle: Journal of Food Processing & Preservation; Aug2020, Vol. 44 Issue 8, p1-10, 10p

Schlagwörter: NEAR infrared reflectance spectroscopy, ALGORITHMS, APPLES, NEAR infrared spectroscopy, PRINCIPAL components analysis, NUTRITIONAL value

Geografische Kategorien: FUJI, Mount (Japan)

Image retrieval based on swarm intelligence.

Autoren: Khaleel, Shahbaa I. Khaled, Ragad W.

Quelle: International Journal of Electrical & Computer Engineering (2088-8708); Dec2021, Vol. 11 Issue 6, p5390-5401, 12p

Schlagwörter: SWARM intelligence, ANT algorithms, IMAGE retrieval, PROBLEM solving, IMAGE databases, ALGORITHMS

Research on bearing fault diagnosis based on machine learning and SHAP interpretability analysis.

Autoren: Wang, Lulu Wu, Menghua

Quelle: Scientific Reports; 11/21/2025, Vol. 15 Issue 1, p1-23, 23p

Schlagwörter: MACHINE learning, FAULT diagnosis, ARTIFICIAL intelligence, FEATURE extraction, MECHANICAL vibration research, CONDITION-based maintenance, INDUSTRIAL applications

Machine learning approaches for optimizing high-performance computing scheduling: a comprehensive survey and analysis.

Autoren: Adimora, Kyrian Gundla, Sai Rithvik Sun, Hongyang

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-48, 48p

Schlagwörter: MACHINE learning, HIGH performance computing, RESOURCE management, ENERGY consumption, LOAD balancing (Computer networks), RESOURCE allocation, COMPUTER scheduling, SCHEDULING

Nondestructive Detection of Soluble Solids Content in Apples Based on Multi-Attention Convolutional Neural Network and Hyperspectral Imaging Technology.

Autoren: Tian, Yan Sun, Jun Zhou, Xin et al.

Quelle: Foods; Nov2025, Vol. 14 Issue 22, p3832, 16p

Schlagwörter: DEEP learning, HYPERSPECTRAL imaging systems, ARTIFICIAL neural networks, QUALITY control, NONDESTRUCTIVE testing, SUGAR content of food, FRUIT, OPTIMIZATION algorithms

Nondestructive Quality Detection of Characteristic Fruits Based on Vis/NIR Spectroscopy: Principles, Systems, and Applications.

Autoren: Wang, Chen Li, Xiaonan Zhang, Zijuan et al.

Quelle: Agriculture; Basel; Oct2025, Vol. 15 Issue 20, p2167, 32p

Schlagwörter: FRUIT quality, NEAR infrared spectroscopy, CALIBRATION, HYPERSPECTRAL imaging systems, OPTICAL instruments

基于高光谱技术的牛肉新鲜度无损检测方法. (Chinese)

Alternate Title: Non-destructive detection method for beef freshness based on hyperspectral technology. (English)

Autoren: 肖纵纵 蔡浩天 王炼 et al.

Quelle: Packaging & Food Machinery; 2025, Vol. 43 Issue 5, p25-33, 9p

Schlagwörter: BEEF quality, HYPERSPECTRAL imaging systems, QUALITY control, ARTIFICIAL neural networks, HYDROGEN-ion concentration, PARTIAL least squares regression, NITROGEN compounds, NONDESTRUCTIVE testing

An Improved Bionic Artificial Lemming Algorithm for Global Optimization and Cloud Task-Scheduling Problems.

Autoren: Tan, Yuyong Wang, Jianfeng Wang, Bin

Quelle: Biomimetics (2313-7673); Sep2025, Vol. 10 Issue 9, p572, 26p

Schlagwörter: GLOBAL optimization, OPTIMIZATION algorithms, EMPIRICAL research, ALGORITHMS, BIOLOGICALLY inspired computing, SCHEDULING, MATHEMATICAL optimization

Image and Point Cloud-Based Neural Network Models and Applications in Agricultural Nursery Plant Protection Tasks.

Autoren: Xu, Jie Liu, Hui Shen, Yue

Quelle: Agronomy; Sep2025, Vol. 15 Issue 9, p2147, 34p

Schlagwörter: PLANT protection, ARTIFICIAL neural networks, IMAGE processing, SEEDLINGS, ROBOTICS, POINT cloud, AGRICULTURE

Application of Non-Destructive Technology in Plant Disease Detection: Review.

Autoren: Wang, Yanping Sun, Jun Wu, Zhaoqi et al.

Quelle: Agriculture; Basel; Aug2025, Vol. 15 Issue 15, p1670, 27p

Schlagwörter: PLANT diseases, NONDESTRUCTIVE testing, REFLECTANCE spectroscopy, HYPERSPECTRAL imaging systems, REMOTE sensing, AGRICULTURAL innovations, IMAGING systems, ARTIFICIAL intelligence

Principles, Applications, and Future Evolution of Agricultural Nondestructive Testing Based on Microwaves.

Autoren: Tao, Ran Xu, Leijun Bai, Xue et al.

Quelle: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4783, 28p

Schlagwörter: MICROWAVE devices, MOISTURE measurement, TECHNOLOGICAL innovations, FOOD safety, SUPPLY chains, INTERNET of things

Improved Gath-Geva clustering for fuzzy segmentation of hydrometeorological time series.

Autoren: Wang, Nini Liu, Xiaodong Yin, Jianchuan

Quelle: Stochastic Environmental Research & Risk Assessment; Jan2012, Vol. 26 Issue 1, p139-155, 17p, 3 Charts, 16 Graphs

Schlagwörter: ALGORITHMS, FUZZY algorithms, TIME series analysis, HYDROMETEOROLOGY, ESTIMATION theory

Patterns of Pupillary Activity During Binocular Disparity Resolution.

Autoren: Balaban, Carey D. Kiderman, Alex Szczupak, Mikhaylo et al.

Quelle: Frontiers in Neurology; 11/26/2018, pN.PAG-N.PAG, 18p

A hybrid XAI-FCI approach for job cycle time range estimation: wafer fabrication as an example.

Autoren: Chen, Tin-Chih Toly Lin, Chi-Wei

Quelle: Operational Research; Jun2025, Vol. 25 Issue 2, p1-29, 29p