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Advances in Manufacturing and Industrial Engineering
This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019). It covers a wide range of topics and latest research in mechanical systems engineering, materials engineering, micro-machining, renewable energy, industrial and production engineering, and additive manufacturing. Given the range of topics discussed, this book will be useful for students and researchers primarily working in mechanical and industrial engineering, and energy technologies.
Advances in Phytochemistry, Textile and Renewable Energy Research for Industrial Growth
The International Conference on Phytochemistry, Textile, & Renewable Energy Technologies for Sustainable Development (ICPTRE 2020) was hosted by the World bank funded Africa Centre of Excellence in Phytochemicals, Textile and Renewable Energy (ACEII-PTRE) based at Moi University in conjunction with Donghua University, China and the Sino–Africa International Symposium on Textiles and Apparel (SAISTA). The theme of the conference was Advancing Science, Technology and Innovation for Industrial Growth. The research relationships between universities and industry have enabled the two entities to flourish and, in the past, have been credited for accelerated sustainable development and uplifting ...
New Advances in Crop Disease Management
Crop protection is becoming increasingly important due to the need for food security and to meet growing environmental challenges. This new book, New Advances in Crop Disease Management, provides readers with an updated and comprehensive overview of diverse crop protection strategies with special emphasis on the recent advances in crop protection approaches, fundamental concepts, principles, methodology, relationships, and benefits for crop protection and human health. It covers a variety of disciplines such as plant pathology, biochemistry, cell, and molecular biology, plant physiology, host-pathogen interactions, precision agriculture, decision analysis, disease risk, new ways of exploitin...
Chitosan in Drug Delivery
Chitosan in Drug Delivery provides thorough insights into chitosan chemistry, collection, chemical modifications, characterization and applications in the pharmaceutical industry and healthcare fields. The book explores molecular weight, degree of deacetylation and molecular geometry, emphasizing recent advances in the field as written by academic, industry and regulatory scientists. It will be a useful resource for pharmaceutical scientists, including industrial pharmacists, analytical scientists, postgraduate students, health care professionals and regulatory scientists actively involved in pharmaceutical product and process development in natural polymers containing drug delivery. - Provides methodologies for the design, development and selection of chitosan in drug delivery for particular therapeutic applications - Includes illustrations demonstrating the mechanism of biological interaction of chitosan - Discusses the regulatory aspects and demonstrates the clinical efficacy of chitosan
Functional Coatings
FUNCTIONAL COATINGS A must-own resource for understanding functional coatings and their revolutionary potential Functional coatings are those which provide not only the protection and performance enhancement of a conventional coating, but also offer additional properties tailored to meet the specific requirements of a given industry or application. They have applications in a huge range of sectors, including automotive, aerospace, healthcare, energy, and more. Coatings with properties like fire retardancy, antimicrobial properties, or controlled drug release have the potential to revolutionize entire industries. Functional Coatings offers a comprehensive resource for engineers and researcher...
Transfer Learning for Multiagent Reinforcement Learning Systems
Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well-known technique to train autonomous agents through interactions with the environment. Unfortunately, the learning process has a high sample complexity to infer an effective actuation policy, especially when multiple agents are simultaneously actuating in the environment. However, previous knowledge can be leveraged to accelerate learning and enable s...
Leadership Landscapes
‘Leadership Landscapes’ provides an invaluable reference point for senior executives or those striving towards a successful cross-border career, to understand how cultural differences impact upon leadership styles and practices. Each semester, we publish a report on our quantitative survey-based global study, alongside our review of extant in-country leadership literature, preferably written by local scholars and professionals in their native language. Moreover, we attempt to empirically validate these findings by conducting expert interviews with native specialists. This new issue of our ongoing leadership series presents country-specific analyses of culturally endorsed leadership pract...
Novel Concepts in Using Broadly Neutralizing Antibodies for HIV-1 Treatment and Prevention
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Machine Learning and Knowledge Discovery in Databases
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
