ICML 55.0 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. It is designed to provide an overview of a lubrication management system and processes applicable to the effective management of physical assets related to lubrication, its principles, and terminology. ICML 55.0 is intended for use in association with ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.0 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. It is designed to provide an overview of a lubrication management system and processes applicable to the effective management of physical assets related to lubrication, its principles, and terminology. ICML 55.0 is intended for use in association with ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors' Standard Practice and Policies Manual.

ICML 55.2 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. ICML 55.2 is designed to take an in-depth look at the twelve Lubrication Management Plans/Auditable Elements outlined in ICML 55.1, to illustrate the value of each element (the Why?), and provide the reader with many "how to" examples. Included are many punch lists of typical requirements an auditor would look for to prove compliance readiness for certification purposes. Even if certification is not the goal, ICML 55.2 can be used as a practical "blueprint" manual for implementing a best practice lubrication management program, as well as a reference and study guide for many of the individual certifications offered by the ICML. ICML 55.2 is intended for use in association with ICML 55.0, Optimized Lubrication of Mechanical Physical Assets Overview, ICML 55.1, Requirements for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.1 is part of a series of standards documents that represent the ICML 55® International Lubrication Standard. ICML 55.1 details the twelve Lubrication Management Plans/Auditable Elements that an organization must establish, document, manage, and maintain to satisfy the organization’s lubrication asset management strategy and system, and to successfully certify to the ICML 55 standard. ICML 55.1 is intended for use in association with ICML 55.0, Optimized Lubrication of Mechanical Physical Assets Overview, ICML 55.2, Guideline for the Optimized Lubrication of Mechanical Physical Assets, and ICML 55.3, Auditors’ Standard Practice and Policies Manual.

ICML 55.1 is part of a series of standards documents that represent the ICML 55(R) International Lubrication Standard.

ICML 55.2 is part of a series of standards documents that represent the ICML 55(R) International Lubrication Standard. ICML 55.2 is designed to take an in-depth look at the twelve Lubrication Management Plans/Auditable Elements outlined in ICML 55.1, to illustrate the value of each element (the Why?).

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.

In recent years, bioeconomy strategies have been implemented and adapted internationally. In the bioeconomy, materials are to a certain extent circular by nature. However, biomaterials may also be used in a rather linear way. Lately, a transition towards a circular economy, a more restorative and regenerative economic model, is being promoted worldwide. A circular economy offers an alternative model aiming at “doing more and better with less”. It is based on the idea that circulating matter and energy will diminish the need for new input. Its concept lies in maintaining the value of products, materials, and resources for as long as possible and at the same time minimizing or even eliminating the amount of waste produced. Focused on “closing the loops”, a circular economy is a practical solution for promoting entrepreneurial sustainability, economic growth, environmental resilience, and a better quality of life for all. The most efficient way to close resource loops is to find value in the waste. Different modes of resource circulation may be applied, e.g., raw materials, by-products, human resources, logistics, services, waste, energy, or water. To that end, this Special Issue seeks to contribute to the circular bioeconomy agenda through enhanced scientific and multidisciplinary knowledge to boost the performance efficiency of circular business models and support decision-making within the specific field. The Special Issue includes innovative technical developments, reviews, and case studies, all of which are relevant to green, closed-loop, circular bioeconomy.

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.

The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.