Profil
Mes achats
Découvrez plus de 300 000 ebooks aux formats pdf epub, audio en telechargement ou en lecture streaming. Nous vous avons sélectionné nos coups de cœur toutes categories confondues et mettons en avant l'actualité de la litterature française et internationale.
voir toutes les nouveautés
Nouveautés de la semaine
Recherche avancée
This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking.
The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist.
The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners.
Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.
PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)
DRM Adobe LCP
LCP DRM Adobe
Ce livre est protégé contre la rediffusion à la demande de l'éditeur (DRM).
La solution LCP apporte un accès simplifié au livre : une clé d'activation associée à votre compte client permet d'ouvrir immédiatement votre livre numérique.
Les livres numériques distribués avec la solution LCP peuvent être lus sur :
La solution Adobe consiste à associer un fichier à un identifiant personnel (Adobe ID). Une fois votre appareil de lecture activé avec cet identifiant, vous pouvez ouvrir le livre avec une application compatible.
Les livres numériques distribués avec la solution Adobe peuvent être lus sur :
mobile-and-tablet Pour vérifier la compatibilité avec vos appareils,consultez la page d'aide
Uday Kumar, PhD, is the Chair Professor of Operation and Maintenance Engineering, and Director of Luleå Railway Research Center. He has more than 30 years of experience in consulting and finding solutions to industrial problems related to maintenance of engineering assets. He has a wide range of interests in equipment maintenance, reliability and maintainability analysis, product support, life cycle costing, risk analysis, system analysis, eMaintenance, and asset management. He has been involved in many EU framework projects, published more than 300 papers in International Journals and Conference Proceedings and co-authored four books on maintenance engineering and management. He is an elected member of the Swedish Royal Academy of Engineering Sciences.
Prof. Ramin Karim is a Professor of Operation and Maintenance Engineering at Luleå University and Director of the Centre of Intelligent Asset Management. He has 15 years of experience in IT industry after obtaining hisdegree in computer science. He is responsible for the eMaintenance LAB, an applied laboratory for research and innovation in Industrial AI and eMaintenance. His research interest includes data analytics and predictive technology closely connected to operation and maintenance of industrial assets.
Prof. Karim has initiated and developed the concept and platform called 'AI Factory', which is a universal concept for cross-industry data and model sharing based on digital and AI technologies. He is the founder of a spin-off company from LTU, which provides advanced analytics based on cloud/edge-technologies and artificial intelligence. Professor Karim has demonstrated how excellence in research can lead to sustainable development in society and benefits for business, through his innovative thinking and commitment to his research in digitalization, Industrial AI and eMaintenance. He has received recognition for his research results, and has been an in-demand lecturer and advisor in various contexts. His research results have been recognized two years in a row on IVA's 100 list in 2020 and 2021.
Restez informé(e) des événements et promotions ebook
Paiements sécurisés