Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 54,5 Mb
Release : 2024-06-29
Category : Neural networks (Computer science)
ISBN : 1728119855
IJCNN 2019
Anonim
Ijcnn 2019
Ijcnn 2019 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Ijcnn 2019 book. This book definitely worth reading, it is an incredibly well-written.
Computer Aided Systems Theory – EUROCAST 2019
Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-Arencibia
Author : Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-Arencibia
Publisher : Springer Nature
Page : 516 pages
File Size : 52,7 Mb
Release : 2020-04-15
Category : Computers
ISBN : 9783030450960
Computer Aided Systems Theory – EUROCAST 2019 by Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-Arencibia Pdf
The two-volume set LNCS 12013 and 12014 constitutes the thoroughly refereed proceedings of the 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, held in Las Palmas de Gran Canaria, Spain, in February 2019. The 123 full papers presented were carefully reviewed and selected from 172 submissions. The papers are organized in the following topical sections: Part I: systems theory and applications; pioneers and landmarks in the development of information and communication technologies; stochastic models and applications to natural, social and technical systems; theory and applications of metaheuristic algorithms; model-based system design, verification and simulation. Part II: applications of signal processing technology; artificial intelligence and data mining for intelligent transportation systems and smart mobility; computer vision, machine learning for image analysis and applications; computer and systems based methods and electronic technologies in medicine; advances in biomedical signal and image processing; systems concepts and methods in touristic flows; systems in industrial robotics, automation and IoT.
Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning
Lei Deng,Kaushik Roy,Huajin Tang
Author : Lei Deng,Kaushik Roy,Huajin Tang
Publisher : Frontiers Media SA
Page : 200 pages
File Size : 43,6 Mb
Release : 2021-05-05
Category : Science
ISBN : 9782889667420
Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning by Lei Deng,Kaushik Roy,Huajin Tang Pdf
Natural Language Processing for Global and Local Business
Pinarbasi, Fatih,Taskiran, M. Nurdan
Author : Pinarbasi, Fatih,Taskiran, M. Nurdan
Publisher : IGI Global
Page : 452 pages
File Size : 40,7 Mb
Release : 2020-07-31
Category : Computers
ISBN : 9781799842415
Natural Language Processing for Global and Local Business by Pinarbasi, Fatih,Taskiran, M. Nurdan Pdf
The concept of natural language processing has become one of the preferred methods to better understand consumers, especially in recent years when digital technologies and research methods have developed exponentially. It has become apparent that when responding to international consumers through multiple platforms and speaking in the same language in which the consumers express themselves, companies are improving their standings within the public sphere. Natural Language Processing for Global and Local Business provides research exploring the theoretical and practical phenomenon of natural language processing through different languages and platforms in terms of today's conditions. Featuring coverage on a broad range of topics such as computational linguistics, information engineering, and translation technology, this book is ideally designed for IT specialists, academics, researchers, students, and business professionals seeking current research on improving and understanding the consumer experience.
Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
Management Association, Information Resources
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1980 pages
File Size : 50,6 Mb
Release : 2022-06-10
Category : Computers
ISBN : 9781668463048
Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines by Management Association, Information Resources Pdf
The rise of internet and social media usage in the past couple of decades has presented a very useful tool for many different industries and fields to utilize. With much of the world’s population writing their opinions on various products and services in public online forums, industries can collect this data through various computational tools and methods. These tools and methods, however, are still being perfected in both collection and implementation. Sentiment analysis can be used for many different industries and for many different purposes, which could better business performance and even society. The Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. It further presents emerging technologies and developments within the field of sentiment analysis and opinion mining. Covering topics such as electronic word of mouth (eWOM), public security, and user similarity, this major reference work is a comprehensive resource for computer scientists, IT professionals, AI scientists, business leaders and managers, marketers, advertising agencies, public administrators, government officials, university administrators, libraries, students and faculty of higher education, researchers, and academicians.
Intelligent Data Engineering and Automated Learning – IDEAL 2019
Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger
Author : Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger
Publisher : Springer Nature
Page : 575 pages
File Size : 46,5 Mb
Release : 2019-11-07
Category : Computers
ISBN : 9783030336073
Intelligent Data Engineering and Automated Learning – IDEAL 2019 by Hujun Yin,David Camacho,Peter Tino,Antonio J. Tallón-Ballesteros,Ronaldo Menezes,Richard Allmendinger Pdf
This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019
Aboul Ella Hassanien,Khaled Shaalan,Mohamed Fahmy Tolba
Author : Aboul Ella Hassanien,Khaled Shaalan,Mohamed Fahmy Tolba
Publisher : Springer Nature
Page : 1093 pages
File Size : 41,7 Mb
Release : 2019-10-02
Category : Technology & Engineering
ISBN : 9783030311292
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 by Aboul Ella Hassanien,Khaled Shaalan,Mohamed Fahmy Tolba Pdf
This book presents the proceedings of the 5th International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI2019), which took place in Cairo, Egypt, from October 26 to 28, 2019. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: machine learning and applications, swarm optimization and applications, robotic and control systems, sentiment analysis, e-learning and social media education, machine and deep learning algorithms, recognition and image processing, intelligent systems and applications, mobile computing and networking, cyber-physical systems and security, smart grids and renewable energy, and micro-grid and power systems.
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning
Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
Author : Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
Publisher : Springer Nature
Page : 807 pages
File Size : 54,9 Mb
Release : 2019-09-09
Category : Computers
ISBN : 9783030304843
Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning by Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis Pdf
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
Cross-Modal Learning: Adaptivity, Prediction and Interaction
Jianwei Zhang,Stefan Wermter,Fuchun Sun,Changshui Zhang,Andreas K. Engel,Brigitte Röder,Xiaolan Fu,Gui Xue
Author : Jianwei Zhang,Stefan Wermter,Fuchun Sun,Changshui Zhang,Andreas K. Engel,Brigitte Röder,Xiaolan Fu,Gui Xue
Publisher : Frontiers Media SA
Page : 295 pages
File Size : 47,6 Mb
Release : 2023-02-02
Category : Science
ISBN : 9782889762545
Cross-Modal Learning: Adaptivity, Prediction and Interaction by Jianwei Zhang,Stefan Wermter,Fuchun Sun,Changshui Zhang,Andreas K. Engel,Brigitte Röder,Xiaolan Fu,Gui Xue Pdf
The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.
High Performance Computing, Smart Devices and Networks
Ruchika Malhotra,L. Sumalatha,S. M. Warusia Yassin,Ripon Patgiri,Naresh Babu Muppalaneni
Author : Ruchika Malhotra,L. Sumalatha,S. M. Warusia Yassin,Ripon Patgiri,Naresh Babu Muppalaneni
Publisher : Springer Nature
Page : 576 pages
File Size : 47,6 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9789819966905
High Performance Computing, Smart Devices and Networks by Ruchika Malhotra,L. Sumalatha,S. M. Warusia Yassin,Ripon Patgiri,Naresh Babu Muppalaneni Pdf
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Sudeep Pasricha,Muhammad Shafique
Author : Sudeep Pasricha,Muhammad Shafique
Publisher : Springer Nature
Page : 481 pages
File Size : 45,5 Mb
Release : 2023-10-09
Category : Technology & Engineering
ISBN : 9783031399329
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by Sudeep Pasricha,Muhammad Shafique Pdf
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Trends in Artificial Intelligence and Computer Engineering
Miguel Botto-Tobar,Omar S. Gómez,Raul Rosero Miranda,Angela Díaz Cadena,Washington Luna-Encalada
Author : Miguel Botto-Tobar,Omar S. Gómez,Raul Rosero Miranda,Angela Díaz Cadena,Washington Luna-Encalada
Publisher : Springer Nature
Page : 733 pages
File Size : 52,7 Mb
Release : 2023-02-13
Category : Technology & Engineering
ISBN : 9783031259425
Trends in Artificial Intelligence and Computer Engineering by Miguel Botto-Tobar,Omar S. Gómez,Raul Rosero Miranda,Angela Díaz Cadena,Washington Luna-Encalada Pdf
This book constitutes the proceedings of the 4th International Conference on Advances in Emerging Trends and Technologies (ICAETT 2022), held in Riobamba, Ecuador, on 26–28 October 2022, proudly organized by Facultad de Informática y Electrónica (FIE) at Escuela Superior Politécnica de Chimborazo and supported by GDEON. ICAETT 2022 brings together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: ● Artificial intelligence ● Communications ● e-Learning ● AT for engineering applications ● Security ● Technology trends
Neural Information Processing
Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto
Author : Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto
Publisher : Springer Nature
Page : 724 pages
File Size : 51,7 Mb
Release : 2021-12-04
Category : Computers
ISBN : 9783030922382
Neural Information Processing by Teddy Mantoro,Minho Lee,Media Anugerah Ayu,Kok Wai Wong,Achmad Nizar Hidayanto Pdf
The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
Advances in Information Retrieval
Jaap Kamps,Lorraine Goeuriot,Fabio Crestani,Maria Maistro,Hideo Joho,Brian Davis,Cathal Gurrin,Udo Kruschwitz,Annalina Caputo
Author : Jaap Kamps,Lorraine Goeuriot,Fabio Crestani,Maria Maistro,Hideo Joho,Brian Davis,Cathal Gurrin,Udo Kruschwitz,Annalina Caputo
Publisher : Springer Nature
Page : 781 pages
File Size : 49,5 Mb
Release : 2023-03-16
Category : Computers
ISBN : 9783031282447
Advances in Information Retrieval by Jaap Kamps,Lorraine Goeuriot,Fabio Crestani,Maria Maistro,Hideo Joho,Brian Davis,Cathal Gurrin,Udo Kruschwitz,Annalina Caputo Pdf
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.
Digital Interaction and Machine Intelligence
Cezary Biele,Janusz Kacprzyk,Wiesław Kopeć,Jan W. Owsiński,Andrzej Romanowski,Marcin Sikorski
Author : Cezary Biele,Janusz Kacprzyk,Wiesław Kopeć,Jan W. Owsiński,Andrzej Romanowski,Marcin Sikorski
Publisher : Springer Nature
Page : 306 pages
File Size : 46,5 Mb
Release : 2022-08-27
Category : Technology & Engineering
ISBN : 9783031114328
Digital Interaction and Machine Intelligence by Cezary Biele,Janusz Kacprzyk,Wiesław Kopeć,Jan W. Owsiński,Andrzej Romanowski,Marcin Sikorski Pdf
This book is open access, which means that you have free and unlimited access. This book presents the Proceedings of the 9th Machine Intelligence and Digital Interaction Conference. Significant progress in the development of artificial intelligence (AI) and its wider use in many interactive products are quickly transforming further areas of our life, which results in the emergence of various new social phenomena. Many countries have been making efforts to understand these phenomena and find answers on how to put the development of artificial intelligence on the right track to support the common good of people and societies. These attempts require interdisciplinary actions, covering not only science disciplines involved in the development of artificial intelligence and human-computer interaction but also close cooperation between researchers and practitioners. For this reason, the main goal of the MIDI conference held on 9-10.12.2021 as a virtual event is to integrate two, until recently, independent fields of research in computer science: broadly understood artificial intelligence and human-technology interaction.
