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2021 IEEE Mysore Sub Section International Conference (MysuruCon).

2021 IEEE Mysore Sub Section International Conference (MysuruCon). PDF Author:
Publisher:
ISBN: 9781665438889
Category :
Languages : en
Pages :

Book Description


2021 IEEE Mysore Sub Section International Conference (MysuruCon).

2021 IEEE Mysore Sub Section International Conference (MysuruCon). PDF Author:
Publisher:
ISBN: 9781665438889
Category :
Languages : en
Pages :

Book Description


INTERNATIONAL CONFERENCE ON ADVANCES IN BUSINESS MANAGEMENT AND INTELLIGENCE SYSTEM-22

INTERNATIONAL CONFERENCE ON ADVANCES IN BUSINESS MANAGEMENT AND INTELLIGENCE SYSTEM-22 PDF Author:
Publisher: Archers & Elevators Publishing House
ISBN: 9394958304
Category : Antiques & Collectibles
Languages : en
Pages : 228

Book Description


2nd International Conference on Smart Sustainable Materials and Technologies (ICSSMT 2023)

2nd International Conference on Smart Sustainable Materials and Technologies (ICSSMT 2023) PDF Author: M. Sumesh
Publisher: Springer Nature
ISBN: 3031498267
Category :
Languages : en
Pages : 234

Book Description


International Conference on Neural Computing for Advanced Applications

International Conference on Neural Computing for Advanced Applications PDF Author: Haijun Zhang
Publisher: Springer Nature
ISBN: 9819958474
Category : Computers
Languages : en
Pages : 627

Book Description
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

Proceedings of International Conference on Frontiers in Computing and Systems

Proceedings of International Conference on Frontiers in Computing and Systems PDF Author: Ram Sarkar
Publisher: Springer Nature
ISBN: 9819926807
Category : Technology & Engineering
Languages : en
Pages : 558

Book Description
This book gathers high-quality research papers presented at the 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022) held at Indian Institute of Technology Ropar, Punjab, India, during December 19–21, 2022. The book covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.

IoT and Big Data Analytics for Smart Cities

IoT and Big Data Analytics for Smart Cities PDF Author: Sathiyaraj Rajendran
Publisher: CRC Press
ISBN: 1000789667
Category : Computers
Languages : en
Pages : 215

Book Description
The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Securing the Future

Securing the Future PDF Author: Gururaj H L
Publisher: Springer Nature
ISBN: 303163781X
Category :
Languages : en
Pages : 96

Book Description


ICT for Intelligent Systems

ICT for Intelligent Systems PDF Author: Jyoti Choudrie
Publisher: Springer Nature
ISBN: 9819766818
Category :
Languages : en
Pages : 599

Book Description


Data Science and Big Data Analytics

Data Science and Big Data Analytics PDF Author: Durgesh Mishra
Publisher: Springer Nature
ISBN: 981999179X
Category :
Languages : en
Pages : 733

Book Description


Analysis and Forecasting of Financial Time Series

Analysis and Forecasting of Financial Time Series PDF Author: Jaydip Sen
Publisher: Cambridge Scholars Publishing
ISBN: 1527588858
Category : Computers
Languages : en
Pages : 405

Book Description
This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns. Using time series data from diverse financial sectors, it shows how the concepts and techniques of statistical analysis, machine learning, and deep learning are applied to build robust predictive models, as well as the ways in which these models can be used for forecasting the future prices of stocks and constructing profitable portfolios of investments. All the concepts and methods used in the book have been implemented using Python and R languages on TensorFlow and Keras frameworks. The volume will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.