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2014 4th International Conference On Artificial Intelligence With Applications In Engineering And Technology
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Book Synopsis 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology by :
Download or read book 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology written by and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Artificial Intelligence in Engineering by : Xiao-Zhi Gao
Download or read book Applications of Artificial Intelligence in Engineering written by Xiao-Zhi Gao and published by Springer Nature. This book was released on 2021-05-10 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.
Book Synopsis 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology (ICAIET) by : IEEE Staff
Download or read book 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology (ICAIET) written by IEEE Staff and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: To explore advances in concepts, algorithms and architecture of artificial and computational intelligence and their applications to challenges in engineering and technology and their impact on business, management and industry
Book Synopsis Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) by : Fang Huang
Download or read book Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) written by Fang Huang and published by Springer Nature. This book was released on 2023-10-23 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.ICAIE started in 2020, the last two sessions of ICAIE have all been successfully published and indexed by EI & Scopus (Read more). ICAIE is to bring together innovative academics and industrial experts in the field of Artificial Intelligence and Education to a common forum. And we achieved the primary goal which is to promote research and developmental activities in Artificial Intelligence and Education, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The 2023 4th International Conference on Artificial Intelligence and Education(ICAIE 2023)Jointly sponsored by Thailand Naresuan University and the Center for Social Computing Research of Central South University of China, and will be held in Guilin, China during June 16–18, 2023. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics. We warmly invite you to participate in ICAIE 2023 and look forward to seeing you in Guilin, China!
Book Synopsis Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023) by : Markus Hartono
Download or read book Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023) written by Markus Hartono and published by Springer Nature. This book was released on 2023-11-18 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.Adaptive, Resilient & Collaborative EngineeringTowards Faster Recovery & Impactful Solutions The world in the last decade has been facing global issues such as accelerated global warming, depleting natural resources, food waste and scarcity, water contamination and shortage, energy conservation, etc. Enter the COVID-19 pandemic in 2020 and we face what people term as double disruption. Not only solutions to the above problems are becoming more critical, but they are also needed fast. Timely and effective solutions are called for so that we can recover from the pandemic while at the same time carry our efforts to better our world. It is no longer sufficient to find solutions that can only delay the negative impacts from the above problems, but it is imperative to tip the balance and reverse the impacts to our advantage. Engineers and engineering have a vital role in inventing mechanisms, systems, and/or products that can address the solutions. Digital technologies and artificial intelligence have been at the forefront of such exploration and we can expect some hints for a better future, if we continue being adaptive, resilient, and collaborative. Given the above background, Faculty of Engineering - Universitas Surabaya, will host the fourth bi-annual international conference “The 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)” in Yogyakarta, Indonesia, September 14th–15th, 2023. This event is a continuation of the past events successfully held in 2017, 2019, and 2021. We invite academia and business practitioners all around the globe to share ideas and best practices relevant to the above conference topic. We hope that this event can also serve as a platform of gathering for anyone interested in exploring potential solutions of our common problems today. Accepted and presented paper will be submitted for publication in reputable International Proceeding (Atlantis Press). See you in Yogyakarta!
Book Synopsis Advances in Artificial Intelligence Application in Data Analysis and Control of Smart Grid by : Xin Ning
Download or read book Advances in Artificial Intelligence Application in Data Analysis and Control of Smart Grid written by Xin Ning and published by Frontiers Media SA. This book was released on 2023-11-23 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.
Book Synopsis Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease by : Roy, Manikant
Download or read book Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease written by Roy, Manikant and published by IGI Global. This book was released on 2021-06-25 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.
Book Synopsis Sentimental Analysis and Deep Learning by : Subarna Shakya
Download or read book Sentimental Analysis and Deep Learning written by Subarna Shakya and published by Springer Nature. This book was released on 2021-10-25 with total page 1023 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
Book Synopsis Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1 by : Zainah Md. Zain
Download or read book Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1 written by Zainah Md. Zain and published by Springer Nature. This book was released on with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough by : Vinit Kumar Gunjan
Download or read book Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2024-01-13 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and 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, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Book Synopsis Intelligent Systems and Sustainable Computational Models by : Rajganesh Nagarajan
Download or read book Intelligent Systems and Sustainable Computational Models written by Rajganesh Nagarajan and published by CRC Press. This book was released on 2024-06-03 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of intelligent systems and sustainability have been gaining momentum in the research community. They have drawn interest in such research fields as computer science, information technology, electrical engineering, and other associated engineering disciples. The promise of intelligent systems applied to sustainability is becoming a reality due to the recent advancements in the Internet of Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications explores this ensemble approach towards building a sustainable future. It explores novel solutions for such pressing problems as smart healthcare ecosystems, energy efficient distributed computing, affordable renewable resources, mitigating financial risks, monitoring environmental degradation, and balancing climate conditions. The book helps researchers to apply intelligent systems to computational sustainability models to propose efficient methods, techniques, and tools. The book covers such areas as: Intelligent and adaptive computing for sustainable energy, water, and transportation networks Blockchain for decentralized systems for sustainable applications, systems, and infrastructure IoT for sustainable critical infrastructure Explainable AI (XAI) and decision-making models for computational sustainability Sustainable development using edge computing, fog computing and cloud computing Cognitive intelligent systems for e-learning Artificial Intelligence and machine learning for large scale data Green computing and cyber physical systems Real-time applications in healthcare, agriculture, smart cities, and smart governance. By examining how intelligent systems can build a sustainable society, the book presents systems solutions that can benefit researchers and professionals in such fields as information technology, health, energy, agricultural, manufacturing, and environmental protection.
Book Synopsis Ontology-Based Information Retrieval for Healthcare Systems by : Vishal Jain
Download or read book Ontology-Based Information Retrieval for Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2020-07-10 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation
Book Synopsis Enhancing Academic Research With Knowledge Management Principles by : Deshpande, Dhananjay S.
Download or read book Enhancing Academic Research With Knowledge Management Principles written by Deshpande, Dhananjay S. and published by IGI Global. This book was released on 2017-03-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effective application of knowledge management principles has proven to be beneficial for modern organizations. When utilized in the academic community, these frameworks can enhance the value and quality of research initiatives. Enhancing Academic Research With Knowledge Management Principles is a pivotal reference source for the latest research on implementing theoretical frameworks of information management in the context of academia and universities. Featuring extensive coverage on relevant areas such as data mining, organizational and academic culture, this publication is an ideal resource for researchers, academics, practitioners, professionals, and students.
Book Synopsis Cognitive Informatics and Soft Computing by : Pradeep Kumar Mallick
Download or read book Cognitive Informatics and Soft Computing written by Pradeep Kumar Mallick and published by Springer. This book was released on 2018-08-11 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents new approaches and methods for solving real-world problems. It offers, in particular, exploratory research that describes novel approaches in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are also presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory and Software Engineering.
Book Synopsis ECRM2016-Proceedings of the 15th European Conference on Research Methodology for Business Management " by : Vladlena Benson
Download or read book ECRM2016-Proceedings of the 15th European Conference on Research Methodology for Business Management " written by Vladlena Benson and published by Academic Conferences and publishing limited. This book was released on 2016-05-20 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence: Theory and Applications by : Harish Sharma
Download or read book Artificial Intelligence: Theory and Applications written by Harish Sharma and published by Springer Nature. This book was released on 2024-01-02 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality research papers presented at International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), held during 11–12 August 2023 in Bengaluru, India. The book is divided into two volumes and presents original research and review papers related to artificial intelligence and its applications in various domains including health care, finance, transportation, education, and many more.
Book Synopsis Algorithms in Advanced Artificial Intelligence by : R. N. V. Jagan Mohan
Download or read book Algorithms in Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and published by CRC Press. This book was released on 2024-07-08 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.
