5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 221
Release: 2023-06-05
Genre: Technology & Engineering
ISBN: 3031283244

This book features the proceedings of the 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2022). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 266
Release: 2022-09-27
Genre: Technology & Engineering
ISBN: 3031076540

This book features the proceedings of the 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2021). The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 406
Release: 2019-10-18
Genre: Technology & Engineering
ISBN: 3030195627

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 504
Release: 2020-09-30
Genre: Technology & Engineering
ISBN: 3030475603

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019. Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019; Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms; Includes contributions from researchers, academics, and professionals from around the world.

3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
Author: Anandakumar Haldorai
Publisher: Springer Nature
Total Pages: 258
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 3030787508

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

Congress on Intelligent Systems

Congress on Intelligent Systems
Author: Mukesh Saraswat
Publisher: Springer Nature
Total Pages: 933
Release: 2022-07-01
Genre: Technology & Engineering
ISBN: 9811694168

This book is a collection of selected papers presented at the Second Congress on Intelligent Systems (CIS 2021), organized by Soft Computing Research Society and CHRIST (Deemed to be University), Bengaluru, India, during September 4 – 5, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Combinatorial Image Analysis

Combinatorial Image Analysis
Author: Reneta P. Barneva
Publisher: Springer Nature
Total Pages: 338
Release: 2023-01-01
Genre: Computers
ISBN: 3031236122

This book constitutes the refereed proceedings of the 201st International Workshop on Combinatorial Image Analysis, IWCIA 2022, held in Messina, Italy, in July 2022. The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers are grouped into four sections. The first one consists of one invited talk. The second section contains seven papers devoted to digital geometry and topology. The third part consists of six papers discussing picture languages. The last part, including six papers, is devoted to various applications. We believe that many of these papers would be of interest to a broader audience, including researchers in scientific areas such as computer vision, shape modeling, pattern analysis and recognition, and computer graphics.