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Advances in Independent Component Analysis and Learning Machines

Advances in Independent Component Analysis and Learning Machines
  • Author : Ella Bingham,Samuel Kaski,Jorma Laaksonen,Jouko Lampinen
  • Publisher : Academic Press
  • Release : 14 May 2015
GET THIS BOOKAdvances in Independent Component Analysis and Learning Machines

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep

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Recent Advances in Big Data and Deep Learning

Recent Advances in Big Data and Deep Learning
  • Author : Luca Oneto,Nicolò Navarin,Alessandro Sperduti,Davide Anguita
  • Publisher : Springer
  • Release : 02 April 2019
GET THIS BOOKRecent Advances in Big Data and Deep Learning

This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of Genoa. In 2019 INNS BDDL has been held in Sestri Levante (Italy) from April 16 to April 18. More than 80 researchers from 20 countries participated in the INNS BDDL in April 2019. In

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Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
  • Author : Peggy Cellier,Kurt Driessens
  • Publisher : Springer Nature
  • Release : 27 March 2020
GET THIS BOOKMachine Learning and Knowledge Discovery in Databases

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable

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Progress in Advanced Computing and Intelligent Engineering

Progress in Advanced Computing and Intelligent Engineering
  • Author : Bibudhendu Pati,Chhabi Rani Panigrahi,Sudip Misra,Arun K. Pujari,Sambit Bakshi
  • Publisher : Springer
  • Release : 17 December 2018
GET THIS BOOKProgress in Advanced Computing and Intelligent Engineering

The book gathers high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes technical sections describing progress in the fields of advanced computing and intelligent engineering, and is primarily intended for postgraduate students and researchers working in Computer Science and Engineering. However, researchers working in Electronics will also find the book useful, as it addresses hardware technologies and next-gen communication technologies.

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Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
  • Author : Igor V. Tetko,Věra Kůrková,Pavel Karpov,Fabian Theis
  • Publisher : Springer Nature
  • Release : 09 September 2019
GET THIS BOOKArtificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

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.

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Web and Big Data

Web and Big Data
  • Author : Xin Wang,Rui Zhang,Young-Koo Lee,Le Sun,Yang-Sae Moon
  • Publisher : Springer Nature
  • Release : 15 October 2020
GET THIS BOOKWeb and Big Data

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning;

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Emerging Research in Data Engineering Systems and Computer Communications

Emerging Research in Data Engineering Systems and Computer Communications
  • Author : P. Venkata Krishna,Mohammad S. Obaidat
  • Publisher : Springer Nature
  • Release : 10 February 2020
GET THIS BOOKEmerging Research in Data Engineering Systems and Computer Communications

This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.

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Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement
  • Author : Emmanuel Vincent,Tuomas Virtanen,Sharon Gannot
  • Publisher : John Wiley & Sons
  • Release : 22 October 2018
GET THIS BOOKAudio Source Separation and Speech Enhancement

Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting

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Computer Vision – ECCV 2018

Computer Vision – ECCV 2018
  • Author : Vittorio Ferrari,Martial Hebert,Cristian Sminchisescu,Yair Weiss
  • Publisher : Springer
  • Release : 06 October 2018
GET THIS BOOKComputer Vision – ECCV 2018

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

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Swarm Intelligence Optimization

Swarm Intelligence Optimization
  • Author : Abhishek Kumar,Pramod Singh Rathore,Vicente Garcia Diaz,Rashmi Agrawal
  • Publisher : John Wiley & Sons
  • Release : 19 November 2020
GET THIS BOOKSwarm Intelligence Optimization

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering,

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Intelligent Computing

Intelligent Computing
  • Author : Kohei Arai,Supriya Kapoor,Rahul Bhatia
  • Publisher : Springer
  • Release : 01 November 2018
GET THIS BOOKIntelligent Computing

This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings. Despite computer science’s comparatively brief history as a

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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches
  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release : 09 December 2021
GET THIS BOOKDigital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
  • Author : Dinggang Shen,Tianming Liu,Terry M. Peters,Lawrence H. Staib,Caroline Essert,Sean Zhou,Pew-Thian Yap,Ali Khan
  • Publisher : Springer Nature
  • Release : 10 October 2019
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2019

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage

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Microgrid Protection and Control

Microgrid Protection and Control
  • Author : Dehua Zheng,Wei Zhang,Solomon Netsanet,Ping Wang,Girmaw Teshager Bitew,Dan Wei,Jun Yue
  • Publisher : Academic Press
  • Release : 23 June 2021
GET THIS BOOKMicrogrid Protection and Control

Microgrid Protection and Control is the result of numerous research works and publications by R&D engineers and scientists of the Microgrid and Energy Internet Research Centre. Through the authors long-routed experience in the microgrid and energy internet industry, this book looks at the sophisticated protection and control issues connected to the special nature of microgrid. The book explains the different ways of classifying types of microgrids and common misconceptions, looking at industrial and research trends along with the different

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Neural Networks and Deep Learning

Neural Networks and Deep Learning
  • Author : Charu C. Aggarwal
  • Publisher : Springer
  • Release : 25 August 2018
GET THIS BOOKNeural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the

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