Advances in Neural Networks – ISNN 2018

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Publisher : Springer
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ISBN 10 : 9783319925370
Pages : 872 pages
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Rating : 4.3/5 (199 users download)


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Summary Book Review Advances in Neural Networks – ISNN 2018 :

Download or read book Advances in Neural Networks – ISNN 2018 written by Tingwen Huang and published by Springer. This book was released on 2018-05-25 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.​

Advances in Neural Networks – ISNN 2019

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Publisher : Springer
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ISBN 10 : 9783030227968
Pages : 483 pages
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Rating : 4.0/5 (32 users download)


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Summary Book Review Advances in Neural Networks – ISNN 2019 :

Download or read book Advances in Neural Networks – ISNN 2019 written by Huchuan Lu and published by Springer. This book was released on 2019-06-26 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

Advanced Sensors for Real-Time Monitoring Applications

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Publisher : MDPI
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ISBN 10 : 9783036504261
Pages : 350 pages
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Summary Book Review Advanced Sensors for Real-Time Monitoring Applications :

Download or read book Advanced Sensors for Real-Time Monitoring Applications written by Olga Korostynska and published by MDPI. This book was released on 2021-03-09 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is impossible to imagine the modern world without sensors, or without real-time information about almost everything—from local temperature to material composition and health parameters. We sense, measure, and process data and act accordingly all the time. In fact, real-time monitoring and information is key to a successful business, an assistant in life-saving decisions that healthcare professionals make, and a tool in research that could revolutionize the future. To ensure that sensors address the rapidly developing needs of various areas of our lives and activities, scientists, researchers, manufacturers, and end-users have established an efficient dialogue so that the newest technological achievements in all aspects of real-time sensing can be implemented for the benefit of the wider community. This book documents some of the results of such a dialogue and reports on advances in sensors and sensor systems for existing and emerging real-time monitoring applications.

Advances in Neural Networks- ISNN 2013

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Publisher : Springer
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ISBN 10 : 9783642390654
Pages : 687 pages
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Rating : 4.6/5 (423 users download)


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Summary Book Review Advances in Neural Networks- ISNN 2013 :

Download or read book Advances in Neural Networks- ISNN 2013 written by Chengan Guo and published by Springer. This book was released on 2013-07-04 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.

Advances in Neural Networks – ISNN 2015

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Publisher : Springer
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ISBN 10 : 9783319253930
Pages : 510 pages
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Rating : 4.3/5 (192 users download)


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Summary Book Review Advances in Neural Networks – ISNN 2015 :

Download or read book Advances in Neural Networks – ISNN 2015 written by Xiaolin Hu and published by Springer. This book was released on 2015-10-14 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The 55 revised full papers presented were carefully reviewed and selected from 97 submissions. These papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer vision, signal processing, machine learning, and optimization.

Information and Communication Technologies of Ecuador (TIC.EC)

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Publisher : Springer
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ISBN 10 : 9783030028282
Pages : 388 pages
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Summary Book Review Information and Communication Technologies of Ecuador (TIC.EC) :

Download or read book Information and Communication Technologies of Ecuador (TIC.EC) written by Miguel Botto-Tobar and published by Springer. This book was released on 2018-10-17 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th Conference on Information Technologies and Communication of Ecuador “TIC-EC”, held in Riobamba City from November 21 to 23, 2018, and organized by Universidad Nacional del Chimborazo (UNACH) and its Engineering School, and the Ecuadorian Corporation for the Development of Research and Academia (CEDIA). Considered as one of the most important ICT conferences in Ecuador, it brought together international scholars and practitioners to discuss the development, issues and projections of the use of information and communication technologies in multiple fields of application. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: • Communication networks • Software engineering • Computer sciences • Architecture • Intelligent territory management • IT management • Web technologies • ICT in education • Engineering, industry, and construction with ICT support • Entrepreneurship and innovation at the Academy: a business perspective The authors would like to express their sincere gratitude to the invited speakers for their inspirational talks, to the authors for submitting their work to this conference, and the reviewers for sharing their experience during the selection process.

Cyber Security and Digital Forensics

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Publisher : John Wiley & Sons
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ISBN 10 : 9781119795643
Pages : 300 pages
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Rating : 4.1/5 (197 users download)


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Summary Book Review Cyber Security and Digital Forensics :

Download or read book Cyber Security and Digital Forensics written by Sabyasachi Pramanik and published by John Wiley & Sons. This book was released on 2022-01-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBER SECURITY AND DIGITAL FORENSICS Cyber security is an incredibly important issue that is constantly changing, with new methods, processes, and technologies coming online all the time. Books like this are invaluable to professionals working in this area, to stay abreast of all of these changes. Current cyber threats are getting more complicated and advanced with the rapid evolution of adversarial techniques. Networked computing and portable electronic devices have broadened the role of digital forensics beyond traditional investigations into computer crime. The overall increase in the use of computers as a way of storing and retrieving high-security information requires appropriate security measures to protect the entire computing and communication scenario worldwide. Further, with the introduction of the internet and its underlying technology, facets of information security are becoming a primary concern to protect networks and cyber infrastructures from various threats. This groundbreaking new volume, written and edited by a wide range of professionals in this area, covers broad technical and socio-economic perspectives for the utilization of information and communication technologies and the development of practical solutions in cyber security and digital forensics. Not just for the professional working in the field, but also for the student or academic on the university level, this is a must-have for any library. Audience: Practitioners, consultants, engineers, academics, and other professionals working in the areas of cyber analysis, cyber security, homeland security, national defense, the protection of national critical infrastructures, cyber-crime, cyber vulnerabilities, cyber-attacks related to network systems, cyber threat reduction planning, and those who provide leadership in cyber security management both in public and private sectors

Advanced Memristor Modeling

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Publisher : MDPI
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ISBN 10 : 9783038971047
Pages : 172 pages
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Summary Book Review Advanced Memristor Modeling :

Download or read book Advanced Memristor Modeling written by Valeri Mladenov and published by MDPI. This book was released on 2019-02-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application in all the areas of industry. In this aspect the analysis of new efficient and advanced electronic elements and circuits is an essential field of the highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides has been investigated since 1970 and it is a promising technology for constructing new electronic memories. It has been established that such oxide materials have the ability for changing their conductance in accordance to the applied voltage and memorizing their state for a long-time interval. Similar behaviour has been predicted for the memristor element by Leon Chua in 1971. The memristor is proposed in accordance to symmetry considerations and the relationships between the four basic electric quantities - electric current i, voltage v, charge q and magnetic flux Ψ. The memristor is an essential passive one-port element together with the resistor, inductor, and capacitor. The Williams HP research group has made a link between resistive switching devices, and the memristor proposed by Chua. A number of scientific papers related to memristors and memristor devices have been issued and several memristor models have been proposed. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage, expressed as a time integral of the voltage. The memristor element has the important capability for remembering the electric charge passed through its cross-section and its respective resistance, when the electrical signals are switched off. Due to its nano-scale dimensions, non-volatility and memorizing properties, the memristor is a sound potential candidate for application in computer high-density memories, artificial neural networks and in many other electronic devices.

Image and Graphics

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Publisher : Springer Nature
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ISBN 10 : 9783030873615
Pages : 840 pages
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Summary Book Review Image and Graphics :

Download or read book Image and Graphics written by Yuxin Peng and published by Springer Nature. This book was released on 2021-09-30 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.

Machine Learning for Future Wireless Communications

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Publisher : John Wiley & Sons
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ISBN 10 : 9781119562276
Pages : 496 pages
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Rating : 4.1/5 (195 users download)


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Summary Book Review Machine Learning for Future Wireless Communications :

Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2019-12-13 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning

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Publisher : Springer Nature
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ISBN 10 : 9783030304843
Pages : 807 pages
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Rating : 4.0/5 (33 users download)


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Summary Book Review Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning :

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 807 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spiking Neural Network Learning, Benchmarking, Programming and Executing

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Publisher : Frontiers Media SA
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ISBN 10 : 9782889637676
Pages : pages
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Rating : 4.8/5 (896 users download)


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Summary Book Review Spiking Neural Network Learning, Benchmarking, Programming and Executing :

Download or read book Spiking Neural Network Learning, Benchmarking, Programming and Executing written by Guoqi Li and published by Frontiers Media SA. This book was released on 2020-06-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

ECAI 2020

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Publisher : IOS Press
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ISBN 10 : 9781643681016
Pages : 3122 pages
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Rating : 4.6/5 (436 users download)


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Summary Book Review ECAI 2020 :

Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

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Publisher : Springer Nature
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ISBN 10 : 9783030487911
Pages : 619 pages
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Rating : 4.0/5 (34 users download)


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Summary Book Review Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference :

Download or read book Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference written by Lazaros Iliadis and published by Springer Nature. This book was released on 2020-05-27 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)

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Publisher : Springer Nature
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ISBN 10 : 9789811504747
Pages : 1387 pages
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Rating : 4.8/5 (115 users download)


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Summary Book Review Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) :

Download or read book Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) written by Rui Wang and published by Springer Nature. This book was released on 2019-12-03 with total page 1387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence.The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book a valuable asset for researchers, engineers, and university students alike.

Computer Vision in Advanced Control Systems-5

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Publisher : Springer Nature
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ISBN 10 : 9783030337957
Pages : 321 pages
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Rating : 4.0/5 (33 users download)


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Summary Book Review Computer Vision in Advanced Control Systems-5 :

Download or read book Computer Vision in Advanced Control Systems-5 written by Margarita N. Favorskaya and published by Springer Nature. This book was released on 2019-12-07 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

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Publisher : MDPI
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ISBN 10 : 9783036508627
Pages : 100 pages
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Summary Book Review Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast :

Download or read book Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast written by Federico Divina and published by MDPI. This book was released on 2021-08-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such big data give rise to a number of opportunities and challenges for informed decision making. In recent years, researchers have been working very actively in order to come up with effective and powerful techniques in order to deal with the huge amount of data available. Such approaches can be used in the context of energy production and consumption considering the amount of data produced by all samples and measurements, as well as including many additional features. With them, automated machine learning methods for extracting relevant patterns, high-performance computing, or data visualization are being successfully applied to energy demand forecasting.