03300nam 2200517 450 99651775370331620230729144157.03-031-26419-310.1007/978-3-031-26419-1(MiAaPQ)EBC7216769(Au-PeEL)EBL7216769(CKB)26271466700041(DE-He213)978-3-031-26419-1(PPN)269092587(EXLCZ)992627146670004120230729d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine learning and knowledge discovery in databases European conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, proceedings, Part V /Massih-Reza Amini [and five others]1st ed. 2023.Cham, Switzerland :Springer Nature Switzerland AG,[2023]©20231 online resource (669 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;13717Print version: Amini, Massih-Reza Machine Learning and Knowledge Discovery in Databases Cham : Springer International Publishing AG,c2023 9783031264184 Supervised learning -- Probabilistic inference -- Optimal transport -- Optimization -- Quantum, hardware -- Sustainability.The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.Lecture Notes in Artificial Intelligence,2945-9141 ;13717Data miningCongressesDatabasesCongressesMachine learningCongressesData miningDatabasesMachine learning006.31Amini Massih-Reza1060956MiAaPQMiAaPQMiAaPQBOOK996517753703316Machine learning and knowledge discovery in databases3406175UNISA03101nam 2200493za 450 991058336810332120240506134443.097801281205450128120541(CKB)3800000000419860(PPN)233366288(FR-PaCSA)88864484(MiAaPQ)EBC5291883(FRCYB88864484)88864484(EXLCZ)99380000000041986020180310d2018 uy 0engurcn|nnn|||||txtrdacontentcrdamediacrrdacarrierFood process engineering and technology /Zeki Berk3rd ed.London Academic P.20181 online resource (711 p.) ill9780128120187 0128120185 Includes bibliographical references and index.1 - Physical properties of food materials -- 2 - Fluid flow -- 3 - Heat and mass transfer, basic principles -- 4 - Reaction kinetics -- 5 - Elements of process control -- 6 - Size reduction -- 7 - Mixing -- 8 - Filtration and expression -- 9 - Centrifugation -- 10 - Membrane processes -- 11 - Extraction -- 12 - Adsorption and ion exchange -- 13 - Distillation -- 14 - Crystallization and dissolution -- 15 - Extrusion -- 16 - Spoilage and preservation of foods -- 17 - Thermal processing -- 18 - Thermal processes, methods, and equipment -- 19 - Refrigeration - Chilling and freezing -- 20 - Refrigeration - Equipment and methods -- 21 - Evaporation -- 22 - Dehydration -- 23 - Freeze drying (lyophilization) and freeze concentration -- 24 - Frying, baking, and roasting -- 25 - Chemical preservation -- 26 - Ionizing irradiation and other nonthermal preservation processes -- 27 - Food packaging -- 28 - Cleaning, disinfection, and sanitation -- 29 - Elements of food plant design -- Appendix -- Index.Food Process Engineering and Technology, third edition combines scientific depth with practical usefulness, creating a tool for graduate students and practicing food engineers, technologists and researchers looking for the latest information on transformation and preservation processes and process control and plant hygiene topics. This fully updated edition provides recent research and developments in the area, features sections on elements of food plant design, an introductory section on the elements of classical fluid mechanics, a section on non-thermal processes, and recent technologies, such as freeze concentration, osmotic dehydration, and active packaging that are discussed in detail.Food industry and tradeTechnological innovationsFood processing plantsFood industry and tradeTechnological innovations.Food processing plants.338.47664664Berk Zeki80145MiAaPQMiAaPQMiAaPQBOOK9910583368103321Food process engineering and technology2126962UNINA