Search Results for biological-and-artificial-intelligence-environments

The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN.

Author: Bruno Apolloni

Publisher: Springer Science & Business Media

ISBN: 9781402034329

Category: Computers

Page: 406

View: 852

The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN. The longevity recipe of this conference stands in three main points that normally renders the reading of these proceedings so interesting as appealing. 1. The topics of the neural networks is considered an attraction pole for a set of researches centered on the inherent paradigm of the neural networks, rather than on a specific tool exclusively. Thus, the subsymbolic management of the data information content constitutes the key feature of papers in various fields such as Pattern Recognition, Stochastic Optimization, Learning, Granular Computing, and so on, with a special bias toward bioinformatics operational applications. An excerpt of all these matters may be found in the book. 2. Though managed at domestic level, the conference attracts contributions from foreign researchers as well, so that in the book the reader may capture the flavor of the state of the art in the international community. 3. The conference is a meeting of friends as well. Thus the papers generally reflect a relaxed atmosphere where researchers meet to generously exchange their thought and explain their actual results in view of a common cultural growing of the community.
2007-11-04 By Bruno Apolloni

Fractional experimental designs combined with artificial neural networks. Journal of Chromatography A ... In B. Apolloni, M. Marinaro, and R. Tagliaferri (Eds.), Biological and Artificial Intelligence Environments. Springer: New York.

Author: Grady Hanrahan

Publisher: CRC Press

ISBN: 1439812594

Category: Mathematics

Page: 214

View: 825

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the fundamental, technological, and applied aspects of computational neural networks. Presenting the basic principles of neural networks together with applications in the field, the book stimulates communication and partnership among scientists in fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued interest in the use of neural network tools in scientific inquiry. The book covers: A brief history of computational neural network models in relation to brain function Neural network operations, including neuron connectivity and layer arrangement Basic building blocks of model design, selection, and application from a statistical perspective Neurofuzzy systems, neuro-genetic systems, and neuro-fuzzy-genetic systems Function of neural networks in the study of complex natural processes Scientists deal with very complicated systems, much of the inner workings of which are frequently unknown to researchers. Using only simple, linear mathematical methods, information that is needed to truly understand natural systems may be lost. The development of new algorithms to model such processes is needed, and ANNs can play a major role. Balancing basic principles and diverse applications, this text introduces newcomers to the field and reviews recent developments of interest to active neural network practitioners.
2011-01-18 By Grady Hanrahan

Biological hazards and infectious diseases connected to them vary in scope and level of impact for public health. All people, regardless of ... of biological hazards. 40 Advances of Artificial Intelligence in a Green Energy Environment.

Author: Pandian Vasant

Publisher: Academic Press

ISBN: 9780323885744

Category: Science

Page: 414

View: 558

Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry. Looks at new techniques in artificial intelligence (AI) reducing the dimension of data coverage worldwide Chapters include AI methodologies using enhanced hybrid swarm-based optimization algorithms Includes flowchart diagrams for exampling optimizing techniques
2022-06-01 By Pandian Vasant

A Software Architecture for Intelligent Virtual Environments Applied to Education. Revista Facultad de Ingeniería - Universidad de Tarapacá, Arica – Chile, 13 (1), 47-55. Ashlock, D., Guo, L., & Qiu, F. (2002).

Author: Porto Pazos, Ana B.

Publisher: IGI Global

ISBN: 9781599049977

Category: Education

Page: 460

View: 766

As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence. Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.
2008-07-31 By Porto Pazos, Ana B.

... in order to function as optimally as possible, within a dynamically changing environment. This requires that the resulting adult have prespecified machine learning mechanisms, such as neural nets or classifier systems.

Author: Hugh Cartwright

Publisher: CRC Press

ISBN: 0849384141

Category: Science

Page: 360

View: 117

Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.
2008-05-05 By Hugh Cartwright

Manu D, Thalla AK (2017) Artificial intelligence models for predicting the performance of biological wastewater treatment plant in the removal of kjeldahl nitrogen from wastewater. Appl Water Sci 7(7):3783–3791 78. Huang Mz, Wan Jq, ...

Author: Hui Lin Ong

Publisher: Springer Nature

ISBN: 9789811914348



View: 694


The concept is not new, and it can be exemplified by the famous Brooks' statement about what it can be expected from biological and artificial intelligence: “Elephants don't play chess” [6]. The intelligent behavior of biological beings ...

Author: Hideyuki Nakashima

Publisher: Springer Science & Business Media

ISBN: 9780387938080

Category: Computers

Page: 1294

View: 197

Our homes anticipate when we want to wake up. Our computers predict what music we want to buy. Our cars adapt to the way we drive. In today’s world, even washing machines, rice cookers and toys have the capability of autonomous decision-making. As we grow accustomed to computing power embedded in our surroundings, it becomes clear that these ‘smart environments’, with a number of devices controlled by a coordinating system capable of ‘ambient intelligence’, will play an ever larger role in our lives. This handbook provides readers with comprehensive, up-to-date coverage in what is a key technological field. . Systematically dealing with each aspect of ambient intelligence and smart environments, the text covers everything, from visual information capture and human/computer interaction to multi-agent systems, network use of sensor data, and building more rationality into artificial systems. The book also details a wide range of applications, examines case studies of recent major projects from around the world, and analyzes both the likely impact of the technology on our lives, and its ethical implications. With a wide variety of separate disciplines all conducting research relevant to this field, this handbook encourages collaboration between disparate researchers by setting out the fundamental concepts from each area that are relevant to ambient intelligence and smart environments, providing a fertile soil in which ground-breaking new work candevelop.
2009-10-01 By Hideyuki Nakashima

Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations. Environmental Science and Pollution Research, 20(7), 4777À4789. Avesani, P., Perini, A., & Ricci, ...

Author: Goncalo Marques

Publisher: Academic Press

ISBN: 9780323855983

Category: Computers

Page: 474

View: 480

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering
2022-03-20 By Goncalo Marques

Environmental Information and Decision Support Ralf Denzer, David A. Swayne, Martin Purvis, Gerald Schimak ... Walley W. J., Fontama V. N. and Martin R. W. (1998) Applications of Artificial Intelligence for the Biological Surveillance ...

Author: Ralf Denzer

Publisher: Springer

ISBN: 9780387355030

Category: Technology & Engineering

Page: 270

View: 518

Environmental Informatics (or Enviromatics) is a maturing subject with interdisciplinary roots in computer science, environmental planning, ecology, economics and other related areas. Its practitioners must be prepared to work with many diverse professional groups. It forms the foundation for computer-assisted environmental protection. This book contains an edited version of papers presented at the 3rd International Symposium on Environmental Software Systems (ISESS '99), which was held at the University of Otago, Dunedin, New Zealand, from August 30 to September 2, 1999, and was sponsored by the International Federation for Information Processing (IFIP). The text is divided into six sections: Enviromatics - Introduction; Environmental Issues; Environmental Information Systems - Tools and Techniques; Environmental Information Systems - Implementations; Environmental Decision Support Systems; Specialised Topics. This state-of-the-art volume will be essential reading for computer scientists and engineers, ecologists, and environmental planners and managers.
2013-04-17 By Ralf Denzer

The film, Transcendence, creates a hypothetical world where synthetic biology and artificial intelligence combine to invoke both extremely beneficial outcomes, e.g., disease treatment, environmental cleanup, and regenerative materials, ...

Author: Daniel Vallero

Publisher: Elsevier

ISBN: 9780128219447

Category: Medical

Page: 704

View: 820

Environmental Systems Science: Theory and Practical Applications looks at pollution and environmental quality from a systems perspective. Credible human and ecological risk estimation and prediction methods are described, including life cycle assessment, feasibility studies, pollution control decision tools, and approaches to determine adverse outcome pathways, fate and transport, sampling and analysis, and cost-effectiveness. The book brings translational science to environmental quality, applying groundbreaking methodologies like informatics, data mining, and applications of secondary data systems. Multiple human and ecological variables are introduced and integrated to support calculations that aid environmental and public health decision making. The book bridges the perspectives of scientists, engineers, and other professionals working in numerous environmental and public health fields addressing problems like toxic substances, deforestation, climate change, and loss of biological diversity, recommending sustainable solutions to these and other seemingly intractable environmental problems. The causal agents discussed include physical, chemical, and biological agents, such as per- and polyfluoroalkyl substances (PFAS), SARS-CoV-2 (the COVID-19 virus), and other emerging contaminants. Provides an optimistic and interdisciplinary approach, underpinned by scientific first principles and theory to evaluate pollutant sources and sinks, applying biochemodynamic methods, measurements and models Deconstructs prior initiatives in environmental assessment and management using an interdisciplinary approach to evaluate what has worked and why Lays out a holistic understanding of the real impact of human activities on the current state of pollution, linking the physical sciences and engineering with socioeconomic, cultural perspectives, and environmental justice Takes a life cycle view of human and ecological systems, from the molecular to the planetary scale, integrating theories and tools from various disciplines to assess the current and projected states of environmental quality Explains the elements of risk, reliability and resilience of built and natural systems, including discussions of toxicology, sustainability, and human-pollutant interactions based on spatial, biological, and human activity information, i.e. the exposome
2021-05-27 By Daniel Vallero