Welcome to our book review site www.go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Language: en
  • Pages: 354

Computational Intelligence Methods for Bioinformatics and Biostatistics

This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.

Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Language: en
  • Pages: 350

Computational Intelligence Methods for Bioinformatics and Biostatistics

The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 6–8, 2023. The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine.

Biocomputing 2020 - Proceedings Of The Pacific Symposium
  • Language: en
  • Pages: 762

Biocomputing 2020 - Proceedings Of The Pacific Symposium

The Pacific Symposium on Biocomputing (PSB) 2020 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2020 will be held on January 3 -7, 2020 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2020 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a ...

Pedometrics in Brazil
  • Language: en
  • Pages: 291

Pedometrics in Brazil

In a world expected to reach a population of almost 10 billion inhabitants by 2050 and facing rapid global warming, it is essential to develop studies to better characterize and preserve the existing environmental heritage. Among these assets, soil stands out, which is fundamental for the balance of life on the planet (air quality and composition, temperature regulation, carbon and nutrient cycling, water cycling and quality, natural "waste" (decomposition) treatment and recycling, and habitat for most living things and their food). Due its importance, Soil information is increasing recently in order to attend human demands for land use management and capability, reduce erosion risks and soi...

Critical Praxis and the Social Imaginary for Sustainable Food Systems
  • Language: en
  • Pages: 189

Critical Praxis and the Social Imaginary for Sustainable Food Systems

Scholarship and high-level diplomatic reports alike, including that of the Intergovernmental Panel on Climate Change, 2021, have highlighted the negative material and bodily inequities of our globalized industrial food system, one that is fuelled by a hegemonic politics of food access and availability. The effects of industrialized food systems on public health, human rights, food sovereignty, ecological sustainability for land and water, as well as for climate change are increasingly obvious. These ongoing challenges, along with the COVID-19 pandemic, have exacerbated existing social, economic, and political inequalities and vulnerabilities and placed them in the spotlight. The crisis in the Ukraine has also underscored how connected global industrialized food systems are to nation state geopolitical interests, international alliances, trade relations, and conflicts. The current industrialized resource-intensive food system has persisted because of a complex set of power relations, despite its continuing and deepening social, ecological, and cultural costs.

Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • Language: en
  • Pages: 646

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • Language: en
  • Pages: 499

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022)

Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • Language: en

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  • Type: Book
  • -
  • Published: 2023
  • -
  • Publisher: Unknown

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).

Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  • Language: en

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  • Type: Book
  • -
  • Published: 2023
  • -
  • Publisher: Unknown

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).

GeneRisk
  • Language: de
  • Pages: 320

GeneRisk

Das Buch gibt einen Einblick in systemische Verknüpfungen, denen der Anbau von gentechnisch veränderten Pflanzen in Deutschland unterliegen würde. Es thematisiert Verknüpfungen, die sich zwischen ökologischen und sozialen Systemzusammenhängen herstellen lassen. Bisherige Betrachtungen widmeten sich dem Thema entweder aus ökologischer Perspektive oder thematisieren (agrar-)politische Zusammenhänge. Das Buch resultiert aus einem Forschungsprojekt, in welchem das BMBF die Erforschung sozialökologischer Wechselwirkungen gefördert hat.