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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery: Proceedings of the ICNC-FSKD 2021 de Quan Xie

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery: Proceedings of the ICNC-FSKD 2021: Lecture Notes on Data Engineering and Communications Technologies, cartea 89

Editat de Quan Xie, Liang Zhao, Kenli Li, Anupam Yadav, Lipo Wang
en Limba Engleză Paperback – 5 ian 2022
This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.
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Specificații

ISBN-13: 9783030896973
ISBN-10: 3030896978
Pagini: 1439
Ilustrații: XXIV, 1439 p. 712 illus., 475 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 mm
Greutate: 2.09 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes on Data Engineering and Communications Technologies

Locul publicării:Cham, Switzerland

Cuprins

RRS:An Explainable Model Scale Search Strategy.- Detection of Small Targets in Aerial Images based on Feature Fusion.- Intrusion Detection Based on LSTM and Random Forests.- Research and Hardware Implementation of Binocular Vision Obstacle Avoidance for UAV.- Parameter Estimation of Equivalent Circuit Model for Lithium Batteries.- Improved U-Net Network for Segmentation on Femur Images.- A 14-bit 2MS/s Digital Self-Calibrating SAR ADC Design and Simulation.- A Windowed Interpolation Algorithm for High-precision ADC Spectrum Testing.- Temperature Compensation Algorithms Based on Digital Infrared Thermopile Sensors Systems.- Optimizing Deep-Learning Inference Operations.- An Efficient MRI Impulse Noise Multi-Stage Hybrid Filter Based on Cartesian Genetic Programming.- Multi-Objective Strategy Based on Rational Particle Swarm Optimization for Environmental/Economic Dispatch.- Express Service Composition Optimization Based on Improved Ant Colony Algorithm.

Textul de pe ultima copertă

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas.

Caracteristici

Presents research works in neural networks, machine learning, and fuzzy systems Provides original outcomes presented at ICNC-FSKD 2021 held in Guiyang, China Serves as a reference for researchers and practitioners in academia and industry