Tag: Intelligence

Free Download Introduction to Multidisciplinary Science in an Artificial-Intelligence Age: the Matter in Our Universe, Biological Cells, and Plate Tectonics
by Ikelle, Luc;
English | 2023 | ISBN: 168507992X | 400 pages | True PDF | 78.69 MB
Higher science education is about preparing people to address the scientific and technological challenges of our times. The list of these challenges includes, but are not limited to, feeding the world’s growing population, improving the length and quality of lives on Earth, improving short- and long- distance communication and transportation, predicting of, adapting to, and mitigating of natural hazards, and exploring space to improve our lives on Earth and for the survival of our civilization. This book prepares students to understand and address these challenges because these challenges, even in most of their narrow focuses, transcend the current college curriculums or programs. The Earth’s climate change is an example of the narrow focus of the large topic of natural hazards. It spans almost all aspects of modern sciences, including biology, chemistry, and physics. Moreover, the span of these challenges may also be telling us that we have to rethink higher sciences education because the current splintering of science education into endless disciplines may not be the best or a unique way to prepare minds to address these challenges. At least some universities and colleges must start moving away from the monolithic way of delivering higher science education or to create a multidisciplinary science as a separate program and hopefully unleash a new generation of super engineers and scientists who are speaking scientific language.

Free Download Heterogenous Computational Intelligence in Internet of Things
by Edited by Pawan Singh
English | 2023 | ISBN: 1032426373 | 315 pages | True PDF | 42.17 MB
We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively.

Free Download Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks, Second Edition
by Aditya K. Sood
English | 2023 | ISBN: 150152139X | 462 pages | True EPUB | 19.72 MB
The second edition of the book has been updated with the latest research and developments in the field of cloud security. The content has been refined and streamlined to make it more accessible and engaging for readers. The book is designed for security and risk assessment professionals, DevOps engineers, penetration testers, cloud security engineers, and cloud software developers who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of your cloud infrastructure and applications and shows how to make your cloud infrastructure secure to combatthreats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies, and concluding with recommendations including best practices.

Free Download Computer Intelligence Against Pandemics
by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen
English | 2023 | ISBN: 311076766X | 386 pages | True PDF EPUB | 107.61 MB
This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Free Download Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
by Edited by Deepak Sinwar
English | 2023 | ISBN: 103219104X | 211 pages | True PDF | 39.71 MB
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

Free Download Computational Approaches to Conscious Artificial Intelligence (309 Pages)
by Antonio Chella
English | 2023 | ISBN: 9811276668 | 310 pages | True PDF | 12.47 MB
Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking.

Free Download Causal Artificial Intelligence
by Hurwitz, Judith S.;Thompson, John K.;
English | 2023 | ISBN: 1394184131 | 387 pages | True PDF | 8.01 MB
Discover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial The Next Step in Effective, Efficient, and Practical AI , a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.

Free Download Business Intelligence Career Master Plan
by Chavez, Eduardo;Moncada, Danny;
English | 2023 | ISBN: 1801077959 | 284 pages | True PDF | 28.11 MB
Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies

Free Download Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT
by Fehmi Jaafar
English | 2023 | ISBN: 1032130989| 196 pages | True PDF | 9.07 MB
The chapters in this book explore the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media.

Free Download Artificial Intelligence in Bioinformatics and Chemoinformatics
by Yashwant V. Pathak; Surovi Saikia; Sarvadaman Pathak; Jayvadan Patel; Bhupendra Gopalbhai Prajapati
English | 2023 | ISBN: 1032396571 | 275 pages | True PDF | 30.88 MB
The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans.