[PDF] Bio Inspired Intelligence For Smart Decision Making - eBooks Review

Bio Inspired Intelligence For Smart Decision Making


Bio Inspired Intelligence For Smart Decision Making
DOWNLOAD

Download Bio Inspired Intelligence For Smart Decision Making PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Bio Inspired Intelligence For Smart Decision Making book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Bio Inspired Intelligence For Smart Decision Making


Bio Inspired Intelligence For Smart Decision Making
DOWNLOAD
Author : Jaganathan, Ramkumar
language : en
Publisher: IGI Global
Release Date : 2024-05-14

Bio Inspired Intelligence For Smart Decision Making written by Jaganathan, Ramkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Business & Economics categories.


In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.



Intelligent Decision Making Through Bio Inspired Optimization


Intelligent Decision Making Through Bio Inspired Optimization
DOWNLOAD
Author : Jaganathan, Ramkumar
language : en
Publisher: IGI Global
Release Date : 2024-04-15

Intelligent Decision Making Through Bio Inspired Optimization written by Jaganathan, Ramkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.


Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.



Internet Of Things For Industry 4 0


Internet Of Things For Industry 4 0
DOWNLOAD
Author : G. R. Kanagachidambaresan
language : en
Publisher: Springer Nature
Release Date : 2019-12-28

Internet Of Things For Industry 4 0 written by G. R. Kanagachidambaresan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-28 with Technology & Engineering categories.


This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the role of Internet of Things in establishing standards. The sensor design for industrial problem, challenges faced, and solutions are all addressed. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. The book is aimed at existing problems faced by the industry at present, with the goal of cost-efficiency and unmanned automation. It also concentrates on predictive maintenance and predictive failures. In addition, it includes design challenges and a survey of literature.



Bio Inspired Computational Algorithms And Their Applications


Bio Inspired Computational Algorithms And Their Applications
DOWNLOAD
Author : Shangce Gao
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-03-07

Bio Inspired Computational Algorithms And Their Applications written by Shangce Gao and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-07 with Computers categories.


Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.



A Bio Inspired Smart Security Model For Pervasive Smart Environment


A Bio Inspired Smart Security Model For Pervasive Smart Environment
DOWNLOAD
Author : S. Geetha
language : en
Publisher: Archers & Elevators Publishing House
Release Date :

A Bio Inspired Smart Security Model For Pervasive Smart Environment written by S. Geetha and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.




Generative Artificial Intelligence For Biomedical And Smart Health Informatics


Generative Artificial Intelligence For Biomedical And Smart Health Informatics
DOWNLOAD
Author : Aditya Khamparia
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-03

Generative Artificial Intelligence For Biomedical And Smart Health Informatics written by Aditya Khamparia and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Medical categories.


Enables readers to understand the future of medical applications with generative AI and related applications Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices. Topics covered include: Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.



Technological Innovation For The Internet Of Things


Technological Innovation For The Internet Of Things
DOWNLOAD
Author : Luis M. Camarinha-Matos
language : en
Publisher: Springer
Release Date : 2013-04-15

Technological Innovation For The Internet Of Things written by Luis M. Camarinha-Matos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Computers categories.


This book constitutes the refereed proceedings of the 4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013, held in Costa de Caparica, Portugal, in April 2013. The 69 revised full papers were carefully reviewed and selected from numerous submissions. They cover a wide spectrum of topics ranging from collaborative enterprise networks to microelectronics. The papers are organized in the following topical sections: collaborative enterprise networks; service orientation; intelligent computational systems; computational systems; computational systems applications; perceptional systems; robotics and manufacturing; embedded systems and Petri nets; control and decision; integration of power electronics systems with ICT; energy generation; energy distribution; energy transformation; optimization techniques in energy; telecommunications; electronics: devices design; electronics: amplifiers; electronics: RF applications; and electronics: applications.



Smart Structures


Smart Structures
DOWNLOAD
Author : Vinod K. Wadhawan
language : en
Publisher: OUP Oxford
Release Date : 2007-10-18

Smart Structures written by Vinod K. Wadhawan and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-18 with Technology & Engineering categories.


A structure is an assembly that serves an engineering function. A smart structure is one that serves this function smartly, i.e. by responding adaptively in a pre-designed useful and efficient manner to changing environmental conditions. Adaptive behaviour of one or more materials constituting a smart structure requires nonlinear response. This book describes the three main types of nonlinear-response materials: ferroic materials, soft materials, and nanostructured materials. Information processing by biological and artificial smart structures is also discussed. A smart structure typically has sensors, actuators, and a control system. Progress in all these aspects of smart structures has leant heavily on mimicking Nature, and the all-important notion in this context has been that of evolution. Artificial Darwinian and Lamarckian evolution holds the key to the development of truly smart structures. Modestly intelligent robots are already on the horizon. Projections about the low-cost availability of adequate computing power and memory size indicate that the future really belongs to smart structures. This book covers in a compact format the entire gamut of concepts relevant to smart structures. It should be of interest to a wide range of students and professionals in science and engineering.



Computational Science And Its Applications Iccsa 2025 Workshops


Computational Science And Its Applications Iccsa 2025 Workshops
DOWNLOAD
Author : Osvaldo Gervasi
language : en
Publisher: Springer Nature
Release Date : 2025-08-06

Computational Science And Its Applications Iccsa 2025 Workshops written by Osvaldo Gervasi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.


The fourteen-volume set LNCS 15886-15899 constitutes the papers of several workshops which were held in conjunction with the 25th International Conference on Computational Science and Its Applications, ICCSA 2025, held in Istanbul, Turkey, during June 30–July 3, 2025. The 362 full papers, 37 short papers and 2 PHD showcase included in this book were carefully reviewed and selected from 1043 submissions. In addition, the conference consisted of 58 workshops, focusing on very topical issues of importance to science, technology and society: from new mathematical approaches for solving complex computational systems, to information and knowledge in the Internet of Things, new statistical and optimization methods, several Artificial Intelligence approaches, sustainability issues, smart cities and related technologies.



Bio Inspired Swarm Robotics And Control Algorithms Mechanisms And Strategies


Bio Inspired Swarm Robotics And Control Algorithms Mechanisms And Strategies
DOWNLOAD
Author : Bhowmick, Parijat
language : en
Publisher: IGI Global
Release Date : 2024-04-23

Bio Inspired Swarm Robotics And Control Algorithms Mechanisms And Strategies written by Bhowmick, Parijat and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Technology & Engineering categories.


The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.