Cardiorenal Disease : : 4th European Meeting on Cardionephrology, Assisi, March 1993 / / editors, M. Timio, V. Wizemann

• Record Nr.: UNINA9910156327903321
• Autore: Timio M
• Pubbl/distr/stampa: Basel : , : S. Karger, , 1994
• ISBN: 9783318033700; 3318033707
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (X + 206 pages) : : 44 figures, 27 tables
• Collana: Contributions to Nephrology, , 1662-2782 ; ; Vol.106
• Altri autori (Persone): TimioMario <1938->; WizemannV
• Disciplina: 616.6/1
• Soggetti: Nephrology; Cardiovascular System; Internal Medicine; Gerontology / Geriatrics; Hematology; Metabolism; Pathology; Physiology; Respiratory System; Transplantation; Urology
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 978-3-8055-5830-3_Cover -- 978-3-8055-5830-3_00I -- 978-3-8055-5830-3_001 -- 978-3-8055-5830-3_007 -- 978-3-8055-5830-3_013 -- 978-3-8055-5830-3_026 -- 978-3-8055-5830-3_030 -- 978-3-8055-5830-3_036 -- 978-3-8055-5830-3_043 -- 978-3-8055-5830-3_053 -- 978-3-8055-5830-3_059 -- 978-3-8055-5830-3_063 -- 978-3-8055-5830-3_068 -- 978-3-8055-5830-3_074 -- 978-3-8055-5830-3_084 -- 978-3-8055-5830-3_090 -- 978-3-8055-5830-3_094 -- 978-3-8055-5830-3_099 -- 978-3-8055-5830-3_106 -- 978-3-8055-5830-3_110 -- 978-3-8055-5830-3_114 -- 978-3-8055-5830-3_119 -- 978-3-8055-; 5830-3_125 -- 978-3-8055-5830-3_129 -- 978-3-8055-5830-3_135 -- 978-3-8055-5830-3_138 -- 978-3-8055-5830-3_141 -- 978-3-8055-5830-3_148 -- 978-3-8055-5830-3_153 -- 978-3-8055-5830-3_157 -- 978-3-8055-5830-3_162 -- 978-3-8055-5830-3_166 -- 978-3-8055-5830-3_174 -- 978-3-8055-5830-3_179 -- 978-3-8055-5830-3_186 -- 978-3-8055-5830-3_190 -- 978-3-8055-5830-3_193 -- 978-3-8055-5830-3_198 -- 978-3-8055-5830-3_202.

Artificial Intelligence for Fashion Industry in the Big Data Era / / edited by Sébastien Thomassey, Xianyi Zeng

• Record Nr.: UNINA9910349478503321
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
• ISBN: 9789811300806; 981-13-0080-1
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (288 pages)
• Collana: Springer Series in Fashion Business, , 2366-8776
• Disciplina: 687.0285
• Soggetti: Marketing research; Textile industry; Artificial intelligence; Market Research/Competitive Intelligence; Textile Engineering; Artificial Intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: AI based fashion sales forecasting methods in big data era -- Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression -- A Data Mining Based Framework for Multi-Item Markdown Optimization -- Social Media Analytics for decision support in Fashion Buying Processes -- Review of Artificial Intelligence Applications in Garment Manufacturing -- AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing -- A Discrete Event Simulation Model with ; Genetic Algorithm Optimization for Customized Textile Production Scheduling -- An intelligent fashion replenishment system based on data analytics and expert judgement -- Blockchain based secured traceability system for textile and clothing supply chain -- Artificial intelligence applied to multisensory studies of textile products -- Evaluation of Fashion Design Using Artificial Intelligence Tools -- Garment wearing comfort analysis using data mining technology -- Garment fit evaluation using machine learning technology.
• Sommario/riassunto: This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application.