Proceedings of Integrated Intelligence Enable Networks and Computing: Iienc 2020, Singh Mer Krishan Kant, Semwal Vijay Bhaskar, Bijalwan Vishwanath
Автор: Bhattacharyya Siddhartha, Dutta Paramartha, Datta Kakali Название: Intelligence Enabled Research: Dosier 2020 ISBN: 9811592896 ISBN-13(EAN): 9789811592898 Издательство: Springer Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12-13 August 2020).
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Автор: Grace Mark Название: Unite: Wee Will... Experidigm, Volume 8: Enable Ecosystems ISBN: 173205536X ISBN-13(EAN): 9781732055360 Издательство: Gazelle Book Services Рейтинг: Цена: 5575.00 р. Наличие на складе: Поставка под заказ.
Описание: The future of humanity depends on the human ability to better live together and do activities together - I call this experidigming. Our future does not depend on how well we work together in business. We are pretty good at that now. We are poor at living together with and supporting all living entities in ecosystems ("Es"). The over 7.8 billion people are consuming "Es" at an unprecedented rate. Left unmanaged and unchecked, people may consume all "E." Our future depends on how well We humans respect, steward, and support all living entities in "E." This books describes how to have We humans and "E" living entities experidigm together as WeE, building a sustaining and thriving relationship for all within the WeE experidigms. One fact is certain - humans cannot survive without the life giving power of "E" to deliver clean air, water, alive soil, and trillions of living entities that share healthy food with humans. WeE experidigm groups can protect, sustain, and foster "E" while defending WeE using experidigm group rights. We and "E" must unite as WeE to sustain life and create the necessary balance of life to sustain daily living. Join a local WeE experidigm group to do activities and receive joy. This book describes how to UNITE and participate in the joyful experience of We and "E" combined WeE.
In Sustainable Teams, consultant and keynote speaker Frederic Meuwly, Ph.D. shares his practical, evidence-based approach to helping organizations achieve high-performance teamwork.
Meuwly sees teams as complex human ecosystems that can attain long-term success by focusing on 18 team sustainability drivers. This book includes three real-world case studies showing how these drivers can improve performance, as well as tips regarding best practices and things to avoid for each. By fully leveraging the power of collective intelligence, sustainable teams can co-create lasting value that serves a higher purpose and achieves a greater good.
At a time when many organizations are still overly focused on short-term returns, Sustainable Teams is a vibrant call for leaders to redefine teamwork in response to profoundly disruptive changes in our environment, societies, and economies.
This book can serve as an inspiring resource and field guide for executives, department heads, project leaders, and specialists in talent and organizational development.
Описание: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020.
Автор: Bhattacharyya Debnath, Thirupathi Rao N. Название: Machine Intelligence and Soft Computing: Proceedings of Icmisc 2020 ISBN: 9811595151 ISBN-13(EAN): 9789811595158 Издательство: Springer Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images.- A Survey on Techniques for Android Malware Detection.- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review.- Prediction of Diabetes using Ensemble Learning Model.- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement.- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning.- Comparative Analysis of Machine Learning Models on Loan Risk Analysis.- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements.- Accurate Prediction of Fake Job Offers Using Machine Learning.- Emotion Recognition through Human Conversation using Machine Learning Techniques.
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