Cybernetics Cognition And Machine Learning Applications

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Cybernetics, Cognition and Machine Learning Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811516324
Total Pages : 315 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Cybernetics, Cognition and Machine Learning Applications by : Vinit Kumar Gunjan

Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber-physical systems, and cybernetics.

Cybernetics, Cognition and Machine Learning Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9813366915
Total Pages : 439 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Cybernetics, Cognition and Machine Learning Applications by : Vinit Kumar Gunjan

Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2021-03-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Cybernetics, Cognition and Machine Learning Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811914842
Total Pages : 237 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Cybernetics, Cognition and Machine Learning Applications by : Vinit Kumar Gunjan

Download or read book Cybernetics, Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2022-09-15 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811531250
Total Pages : 593 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies by : Vinit Kumar Gunjan

Download or read book Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-28 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and Technologies, and presents high-quality research conducted by experts in this area. It provides a valuable reference guide for students, researchers and industry practitioners who want to keep abreast of the latest developments in this dynamic, exciting and interesting research field of communication engineering, driven by next-generation IT-enabled techniques. The book will also benefit practitioners whose work involves the development of communication systems using advanced cybernetics, data processing, swarm intelligence and cyber-physical systems; applied mathematicians; and developers of embedded and real-time systems. Moreover, it shares insights into applying concepts from Machine Learning, Cognitive Science, Cybernetics and other areas of artificial intelligence to wireless and mobile systems, control systems and biomedical engineering.

2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665462471
Total Pages : 0 pages
Book Rating : 4.4/5 (624 download)

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Book Synopsis 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) by : IEEE Staff

Download or read book 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA) written by IEEE Staff and published by . This book was released on 2022-10-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ubiquitous Intelligence and Computing Web Intelligence and Computing Swarm Intelligence Mobile Computing Sensor Networks and Social Sensing Wireless Mesh Networks Wireless Networks Management Wireless Protocols and Architectures Multi Agent Systems Human Computer Interaction Data Mining and Knowledge Discovery Knowledge Management and Networks Data Intensive Computing Architecture Resource Management and Scheduling Intelligent E Learning Systems Smart Environments and Applications Genetic Algorithms Evolutionary Computation Soft Computing Machine Learning Neural Networks Pattern Recognition Intelligent Control Optimization Nonlinear System and Control System Theory and Control Theory Video and Image Processing Internet Security Big Data Cellular Networks Social Networks & E Commerce Computer and Network Forensics Data and Network Outsourcing Services Cloud and Edge Computing Routing and Network Management Cyber Deterrence Strategies Mobile and Wearable Devices

Advances in Machine Learning and Cybernetics

Author : Daniel S. Yeung
Publisher : Springer Science & Business Media
ISBN 13 : 3540335846
Total Pages : 1129 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Machine Learning and Cybernetics by : Daniel S. Yeung

Download or read book Advances in Machine Learning and Cybernetics written by Daniel S. Yeung and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005. The 114 revised full papers of this volume are organized in topical sections on agents and distributed artificial intelligence, control, data mining and knowledge discovery, fuzzy information processing, learning and reasoning, machine learning applications, neural networks and statistical learning methods, pattern recognition, vision and image processing.

Cybernetical Intelligence

Author : Kelvin K. L. Wong
Publisher : John Wiley & Sons
ISBN 13 : 1394217501
Total Pages : 436 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Cybernetical Intelligence by : Kelvin K. L. Wong

Download or read book Cybernetical Intelligence written by Kelvin K. L. Wong and published by John Wiley & Sons. This book was released on 2023-10-11 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBERNETICAL INTELLIGENCE Highly comprehensive, detailed, and up-to-date overview of artificial intelligence and cybernetics, with practical examples and supplementary learning resources Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of machine learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of machine learning from a cybernetics perspective. The introduction of the concept of “Cybernetical Intelligence” and the generation of new terminology within this context propel new lines of thought in the historical development of artificial intelligence. With its profound implications and contributions, this book holds immense importance and is poised to become a definitive resource for scholars and researchers in this field of study. Each chapter is specifically designed to introduce the theory with several examples. This comprehensive book includes exercise questions at the end of each chapter, providing readers with valuable opportunities to apply and strengthen their understanding of cybernetical intelligence. To further support the learning journey, solutions to these questions are readily accessible on the book’s companion site. Additionally, the companion site offers programming practice exercises and assignments, enabling readers to delve deeper into the practical aspects of the subject matter. Cybernetical Intelligence includes information on: The history and development of cybernetics and its influence on the development of neural networks Developments and innovations in artificial intelligence and machine learning, such as deep reinforcement learning, generative adversarial networks, and transfer learning Mathematical foundations of artificial intelligence and cybernetics, including linear algebra, calculus, and probability theory Ethical implications of artificial intelligence and cybernetics as well as responsible and transparent development and deployment of AI systems Presenting a highly detailed and comprehensive overview of the field, with modern developments thoroughly discussed, Cybernetical Intelligence is an essential textbook that helps students make connections with real-life engineering problems by providing both theory and practice, along with a myriad of helpful learning aids.

Futuristic e-Governance Security With Deep Learning Applications

Author : Kumar, Rajeev
Publisher : IGI Global
ISBN 13 : 1668495988
Total Pages : 291 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Futuristic e-Governance Security With Deep Learning Applications by : Kumar, Rajeev

Download or read book Futuristic e-Governance Security With Deep Learning Applications written by Kumar, Rajeev and published by IGI Global. This book was released on 2024-01-24 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems. By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems.

Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 3030966348
Total Pages : 545 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough by : Vinit Kumar Gunjan

Download or read book Modern Approaches in Machine Learning & Cognitive Science: A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2022-04-22 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of AI and machine learning which have got the ability to identify patterns in large and complex data sets. A remarkable success has been experienced in the last decade by emulating the brain computer interface. It presents the cognitive science methods and technologies that have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focuses on audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming.

Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811664072
Total Pages : 821 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by : Vinit Kumar Gunjan

Download or read book Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2022-01-10 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.

Intelligent Solutions for Cognitive Disorders

Author : Jadhav, Dipti
Publisher : IGI Global
ISBN 13 :
Total Pages : 431 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Intelligent Solutions for Cognitive Disorders by : Jadhav, Dipti

Download or read book Intelligent Solutions for Cognitive Disorders written by Jadhav, Dipti and published by IGI Global. This book was released on 2024-02-14 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment. This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care.

Computational Intelligence in Healthcare

Author : Meenu Gupta
Publisher : CRC Press
ISBN 13 : 1000829448
Total Pages : 227 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence in Healthcare by : Meenu Gupta

Download or read book Computational Intelligence in Healthcare written by Meenu Gupta and published by CRC Press. This book was released on 2023-02-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.

Evolutionary Artificial Intelligence

Author : David Asirvatham
Publisher : Springer Nature
ISBN 13 : 9819984386
Total Pages : 563 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Evolutionary Artificial Intelligence by : David Asirvatham

Download or read book Evolutionary Artificial Intelligence written by David Asirvatham and published by Springer Nature. This book was released on with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantum Innovations at the Nexus of Biomedical Intelligence

Author : Dutt, Vishal
Publisher : IGI Global
ISBN 13 :
Total Pages : 306 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Quantum Innovations at the Nexus of Biomedical Intelligence by : Dutt, Vishal

Download or read book Quantum Innovations at the Nexus of Biomedical Intelligence written by Dutt, Vishal and published by IGI Global. This book was released on 2023-12-29 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of quantum technologies and biomedical intelligence is a frontier of boundless potential. The quantum advancements revolutionize disease detection, personalized medicine, and health monitoring frameworks while confronting the pressing challenge of accountability in machine learning systems within the biomedical domain. How do quantum innovations at the nexus of biomedical intelligence redefine biomedical research and healthcare, addressing critical inquiries such as the transformative potential of quantum computing, machine learning, and sensing technologies? Quantum Innovations at the Nexus of Biomedical Intelligence explores the intricate synergy between quantum mechanics and the biomedical domain. This book elucidates the profound implications and applications arising from the fusion of quantum computing, artificial intelligence, and biomedical sciences. This book introduces biomedical engineering, setting the stage for a deep dive into the transformative role of quantum computing and artificial intelligence. As the narrative unfolds, the text navigates the reader through the uncharted territories of quantum-enhanced machine learning, quantum sensing and their profound impact on diagnostics, personalized medicine, and health monitoring frameworks. The intersection of quantum computing and AI in medical advancements and cybersecurity is illuminated, offering a comprehensive understanding of the multifaceted applications of these cutting-edge technologies. This book is ideal for researchers, scientists, academics, and professionals across diverse disciplines in quantum innovations within biomedical intelligence.

Internet of Things-Based Machine Learning in Healthcare

Author : Prasenjit Dey
Publisher : CRC Press
ISBN 13 : 1040031854
Total Pages : 242 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Internet of Things-Based Machine Learning in Healthcare by : Prasenjit Dey

Download or read book Internet of Things-Based Machine Learning in Healthcare written by Prasenjit Dey and published by CRC Press. This book was released on 2024-06-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.

Cognitive Science and Artificial Intelligence

Author : Sasikumar Gurumoorthy
Publisher : Springer
ISBN 13 : 9811066981
Total Pages : 112 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Cognitive Science and Artificial Intelligence by : Sasikumar Gurumoorthy

Download or read book Cognitive Science and Artificial Intelligence written by Sasikumar Gurumoorthy and published by Springer. This book was released on 2017-12-22 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

Advancing Software Engineering Through AI, Federated Learning, and Large Language Models

Author : Sharma, Avinash Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 375 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advancing Software Engineering Through AI, Federated Learning, and Large Language Models by : Sharma, Avinash Kumar

Download or read book Advancing Software Engineering Through AI, Federated Learning, and Large Language Models written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-05-02 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.