Proceedings Of Elm 2021
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Author | : Kaj-Mikael Björk |
Publisher | : Springer Nature |
Total Pages | : 179 |
Release | : 2023-01-18 |
Genre | : Technology & Engineering |
ISBN | : 3031216784 |
This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author | : Jiuwen Cao |
Publisher | : Springer Nature |
Total Pages | : 189 |
Release | : 2020-09-11 |
Genre | : Technology & Engineering |
ISBN | : 3030589897 |
This book contains some selected papers from the International Conference on Extreme Learning Machine 2019, which was held in Yangzhou, China, December 14–16, 2019. Extreme Learning Machines (ELMs) aim to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental ‘learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. The main theme of ELM2019 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning. This conference provides a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Author | : Kaj-Mikael Björk |
Publisher | : Springer Nature |
Total Pages | : 86 |
Release | : |
Genre | : |
ISBN | : 3031550560 |
Author | : Yingmin Jia |
Publisher | : Springer Nature |
Total Pages | : 866 |
Release | : 2021-10-06 |
Genre | : Technology & Engineering |
ISBN | : 9811663203 |
This book presents the proceedings of the 17th Chinese Intelligent Systems Conference, held in Fuzhou, China, on Oct 16-17, 2021. It focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth study on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. The book is particularly suited for readers who are interested in learning intelligent system and control and artificial intelligence. The book can benefit researchers, engineers, and graduate students.
Author | : Janianton Damanik |
Publisher | : Springer Nature |
Total Pages | : 532 |
Release | : 2023-02-10 |
Genre | : Business & Economics |
ISBN | : 2494069734 |
This is an open access book. This international conference aims to discuss and provide critical views based on empirical experience and the relevant concepts to the changing trends and future directions of tourism development after the Covid-19 pandemic. Some of the topics that can be raised as discussion material include (but are not limited to): Adaptation strategies of tourism transportation modes to the CHSE standard Adaptation strategies and models of the tourism accommodation industry to the CHSE standard Creative Industry and tourism MSME business models in the post-pandemic period Reactivation and revitalization of community-based tourism businesses Optimizing the use of IT products in tourism business management Innovation and implementation of carbon neutral and green zones in tourism destinations Trends in travel financing planning changes Issues of de-skilling, recharging, and up-skilling tourism HR The future of tourism education institutions Reconstruction of tourism institutions in the post-pandemic period Relations between tourists and tourists in tourism destinations in the post-pandemic period Changes in tourist market profiles and preferences and their implications for promotion and marketing strategies Tourist perspectives on post-pandemic tourism and CHSE practices Trends and prospects for healthy tourism and green tourism This is an open access book. This is an open access book.
Author | : E. S. Gopi |
Publisher | : Springer Nature |
Total Pages | : 630 |
Release | : |
Genre | : |
ISBN | : 3031479424 |
Author | : Ignacio Rojas |
Publisher | : Springer Nature |
Total Pages | : 680 |
Release | : 2023-11-01 |
Genre | : Science |
ISBN | : 3031430786 |
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
Author | : Meida Rachmawati |
Publisher | : European Alliance for Innovation |
Total Pages | : 1195 |
Release | : 2021-05-05 |
Genre | : Social Science |
ISBN | : 1631903012 |
This book contains the proceedings of the The International Conference on Law, Social Science, Economics, and Education (ICLSSEE 2021). Where held on 6 Maret 2021 in Salatiga, Central Java. This conference was held in collaboration Nusantara Training and Research (NTR) with Borobudur University Jakarta and the Research and Development Agency of the Ministry of Home Affairs. The papers from these conferences collected in a proceedings book entitled: Proceedings of The International Conference on Law, Social Science, Economics, and Education (ICLSSEE 2021). The presentation of such conference covering multi disciplines will contribute a lot of inspiring inputs and new knowledge on current trending about: Law, Social Science, Economics, and Education. Thus, this will contribute to the next young generation researches to produce innovative research findings. Hopefully that the scientific attitude and skills through research will promote the development of knowledge generated through research from various scholars in various regions Finally, we would like to express greatest thankful to all colleagues in the steering committee for cooperation in administering and arranging the conference. Hopefully these seminar and conference will be continued in the coming years with many more insight articles from inspiring research. We would also like to thank the invited speakers for their invaluable contribution and for sharing their vision in their talks. We hope to meet you again for the next conference of ICLSSEE.
Author | : Subhadip Basu |
Publisher | : Springer Nature |
Total Pages | : 601 |
Release | : 2022-06-27 |
Genre | : Technology & Engineering |
ISBN | : 9811901058 |
This book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29–October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.
Author | : Mark Thomas |
Publisher | : Taylor & Francis |
Total Pages | : 211 |
Release | : 2024-04-05 |
Genre | : Business & Economics |
ISBN | : 1040008828 |
Covid-19 has brought so much uncertainty, but one certainty is that the vaccine race will generate winners and losers in the pharmaceutical and biotechnology industries. This will have a major impact on merger and acquisition activity. While the plethora of merger and acquisition deals are abundantly reported by the news media, there is a clear lack of in-depth analysis on the multiple rationales and various challenges in the life sciences industry. By offering contributions from a variety of experts in the biotechnology and pharmaceutical industries, as well as experts on mergers and acquisitions, this edited collection will draw upon the knowledge of a variety of different actors within the fields of pharma and biotech. This book offers a timely exploration of the complexities of mergers and acquisitions in the pharmaceutical and biotechnology industries while seeking to bridge the gap between theory and practice. It presents a critical analysis of the rationale for acquisitions and studies the challenges of ensuring a successful deal. In the light of the Covid-19 pandemic, it will also explore the impact this may have on the industry, which may further stimulate merger and acquisition activity. It will be of interest to researchers, academics, policymakers, and students in the fields of strategy, management, governance, and the biotechnology and pharmaceutical industries.