Artificial Intelligence and Industrial Applications : Smart Operation Management / edited by Tawfik Masrour, Anass Cherrafi, Ibtissam El Hassani

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Advances in Intelligent Systems and Computing ; 1193Verlag: Cham : Springer International Publishing, 2021Verlag: Cham : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XX, 442 p. 315 illus., 184 illus. in color.)ISBN:

9783030511869

Schlagwörter:

Andere physische Formen: 9783030511852 | 9783030511876 | Erscheint auch als: 9783030511852 Druck-Ausgabe | Erscheint auch als: 9783030511876 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-51186-9Online-Ressourcen:

Zusammenfassung: A Fuzzy Ontology Based Approach To Support Product Eco-Design -- -- A Genetic-based SVM Approach for Quality Data Classification -- Towards a platform to implement an intelligent and predictive maintenance in the context of industry -- Towards a Prediction Analysis in an Industrial Context -- Methodology for Implementation of Industry . Technologies in Supply Chain for SMEs -- A Deep Reinforcement Learning DRL Decision Model For Heating Process Parameters Identification In Automotive Glass Manufacturing -- Analytic Hierarchy Process AHP for supply chain . risks management -- SmartDFRelevance: a Holonic Agent based System for Engineering Industrial Projects in Concurrent Engineering Context -- A Cyber-Physical Warehouse Management System Architecture in an -- Industry . context -- PLM and Smart technologies for product and supply chain design -- Production systems simulation considering Non-Productive Times and Human Factors -- Distributed and Embedded System to Control Traffic Collision Based on Artificial Intelligence -- The Emergence and Decision Support in Complex System with Fuzzy Logic Control -- Markov Decision Processes with Discounted Costs over a Finite Horizon: Action Elimination -- Robust adaptive fuzzy path tracking control of Differential Wheeled Mobile Robot -- Deep Learning approach for Automated Guided Vehicle System -- Path Planning Using Particle Swarm Optimization And Fuzzy Logic -- Prediction of Robot localization states using Hidden Markov Models -- A New Approach for Multi-Agent Reinforcement Learning -- Recommender System for Most Relevant k Pick-Up Points -- Feature Detection and Tracking for Visual Effects: Augmented Reality and Video Stabilization -- Spectral image recognition using artificial dynamic neural network in information resonance mode -- U-Net Based Model for Obfuscated Human Faces Reconstruction -- A Machine Learning Assistant for Choosing Operators and Tuning Their Parameters in Image Processing Tasks -- Convergence and parameters setting of continuous Hopfield neural networks applied to image restoration problem -- The Ibn Battouta Air Traffic Control Corpus with Real Life ADS-B and METAR data -- Weed Recognition System For Low-Land Rice Precision Farming Using Deep Learning Approach -- A Comparative Study Between Mixture and Stepwise Regression to Model The Parameters Of The Composting Process -- Deep Learning Based Sponge Gourd Diseases Recognition For Commercial Cultivation in Bangladesh -- Exploitation of vegetation indices and Random Forest for cartography of rosemary cover: application to Gourrama region, Morocco.Zusammenfassung: This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.PPN: PPN: 1734641487Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

Exemplare ( 0 )

Dieser Titel hat keine Exemplare