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Knowledge Science, Engineering and Management
This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
Finance and Development, December 2015
This article presents an overview of the life of Richard Layard, who believes that the basic purpose of economics is the maximization of happiness and well-being. As director of the Wellbeing Programme at the London School of Economics’ Centre for Economic Performance, Layard focuses on the study of happiness. Layard was a distinguished labor economist long before he turned his attention to happiness. He is best known for his research in the 1980s on unemployment and for his advocacy of policies to support unemployed people on the condition that they try to find work. This “welfare to work” approach became popular in parts of continental Europe and was a mainstay of British Prime Minister Tony Blair’s economic program. Layard’s other current preoccupation is climate change. He is one of the drivers of the Global Apollo Program, a project to make renewable energy cheaper than fossil fuels within 10 years through publicly funded, internationally coordinated research and innovation.
Artificial Neural Networks and Machine Learning – ICANN 2022
The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications. Chapter “Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping ” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Time Series Analysis and Forecasting
This volume presents selected peer-reviewed contributions from The International Work-Conference on Time Series, ITISE 2015, held in Granada, Spain, July 1-3, 2015. It discusses topics in time series analysis and forecasting, advanced methods and online learning in time series, high-dimensional and complex/big data time series as well as forecasting in real problems. The International Work-Conferences on Time Series (ITISE) provide a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.
Nanoplasmonics
During the last few years, nanomaterials have attracted the attention of the scientific community due to their extraordinary and unique properties. Their small size, and the distinctive features that come with it, makes these materials very attractive for use in different important fields like biomedicine, sensors, or catalysis. One of the most important properties of these materials is their interaction with light and is called surface plasmon resonance. It is a phenomenon that happens on the surface of certain nanomaterials that confers them with unique properties. This remarkable characteristic has opened a whole new field called nanoplasmonics that is acquiring more and more importance among the scientific community. This book aims to review the state of the art in this new field and provide the reader with a wide overview of the new nanomaterials available and their current and future applications.
Antenna Systems
This book offers an up-to-date and comprehensive review of modern antenna systems and their applications in the fields of contemporary wireless systems. It constitutes a useful resource of new material, including stochastic versus ray tracing wireless channel modeling for 5G and V2X applications and implantable devices. Chapters discuss modern metalens antennas in microwaves, terahertz, and optical domain. Moreover, the book presents new material on antenna arrays for 5G massive MIMO beamforming. Finally, it discusses new methods, devices, and technologies to enhance the performance of antenna systems.
Advances in Swarm Intelligence
The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.
