Machine Learning In Microbial Forensics


Machine Learning In Microbial Forensics
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Machine Learning In Microbial Forensics


Machine Learning In Microbial Forensics
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Author : Hayes Cary
language : en
Publisher: Cary Hayes
Release Date : 2023-04-19

Machine Learning In Microbial Forensics written by Hayes Cary and has been published by Cary Hayes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with categories.


Microbial ecosystems are complex, with hundreds of members interacting with each other and the environment. The intricate and hidden behaviors underlying these interactions make research questions challenging - but can be better understood through machine learning. However, most machine learning that is used in microbiome work is a black box form of investigation, where accurate predictions can be made, but the inner logic behind what is driving prediction is hidden behind nontransparent layers of complexity



Artificial Intelligence In Forensic Microbiology


Artificial Intelligence In Forensic Microbiology
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Author : Chen Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-02

Artificial Intelligence In Forensic Microbiology written by Chen Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-02 with Science categories.




Microbial Forensics


Microbial Forensics
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Author : Bruce Budowle
language : en
Publisher: Academic Press
Release Date : 2019-11-30

Microbial Forensics written by Bruce Budowle and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Law categories.


Microbial Forensics, Third Edition, serves as a complete reference on the discipline, describing the advances, challenges and opportunities that are integral in applying science to help solve future biocrimes. New chapters include: Microbial Source Tracking, Clinical Recognition, Bioinformatics, and Quality Assurance. This book is intended for a wide audience, but will be indispensable to forensic scientists and researchers interested in contributing to the growing field of microbial forensics. Biologists and microbiologists, the legal and judicial system, and the international community involved with Biological Weapons Treaties will also find this volume invaluable. Presents new and expanded content that includes a statistical analysis of forensic data, legal admissibility and standards of evidence Discusses actual cases of forensic bioterrorism Includes contributions from editors and authors who are leading experts in the field, with primary experience in the application of this fast-growing discipline



Chemical And Physical Signatures For Microbial Forensics


Chemical And Physical Signatures For Microbial Forensics
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Author : John B. Cliff
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-09

Chemical And Physical Signatures For Microbial Forensics written by John B. Cliff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-09 with Science categories.


Combining the disciplines of biological, physical and chemical science, microbial forensics has a rapidly rising profile in a world increasingly troubled by the threat of ‘biocrime’ and ‘bioterrorism’. This valuable resource is a major addition to a body of literature reckoned to lack sufficient breadth. It presents a variety of phenotypic and trace signature methodologies associated with cultured microorganisms that, despite being genetically identical, may be characterized by differing cultural environments. One of the central challenges faced by those working in this field is the sheer diversity of potentially harmful agents, which in themselves total more than 1000 viruses, bacteria, fungi and protozoan parasites. Their numerous additional variants render the process of ‘fingerprinting’ biological agents notoriously difficult, especially when the limitations of genetic analysis are factored in. Attribution of crime is relatively easy through human DNA, but lacking the genetic individuation of humans and animals, microbial forensics has to complement phylogenetic techniques with chemical and physical ones. In the best case, genetic analysis in the ‘biocrime’ sector can exclude sources, narrow the population of possible sources and support associations with potential sources. To complement these genetic techniques, chemical and physical methods can be used to compare ‘signatures’ imparted to microbial samples by environments in which they are grown and processed. Collating a range of microbiological fingerprinting techniques in one volume, and covering everything from statistical analysis to laboratory protocols, this publication furthers the aim of forensic investigators who need robust and legally admissible forensic evidence to present in a courtroom.



Science Needs For Microbial Forensics


Science Needs For Microbial Forensics
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Author :
language : en
Publisher:
Release Date : 2014

Science Needs For Microbial Forensics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Bioterrorism categories.




Machine Learning For Microbial Phenotype Prediction


Machine Learning For Microbial Phenotype Prediction
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Author : Roman Feldbauer
language : en
Publisher: Springer
Release Date : 2016-06-15

Machine Learning For Microbial Phenotype Prediction written by Roman Feldbauer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-15 with Science categories.


This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datasets. The results suggest that the presented prediction tool can be used to automatically annotate phenotypes in near-complete microbial genome sequences, as generated in large numbers in current metagenomic studies. Unraveling relationships between a living organism's genetic information and its observable traits is a central biological problem. Phenotype prediction facilitated by machine learning techniques will be a major step forward to creating biological knowledge from big data.



Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks


Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks
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Author : Ang Yu
language : en
Publisher:
Release Date : 2022

Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks written by Ang Yu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Criminal investigation categories.


"This book provides an outline of deep learning and machine learning frame works/methods for its use in forensic science to produce accurate and reliable results in aiding investigation process by covering the challenges, latest developments, advancements, future and emerging approaches/algorithms, deep learning architectures data handling and analysis"--



Machine Learning Big Data And Iot For Medical Informatics


Machine Learning Big Data And Iot For Medical Informatics
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Author : Pardeep Kumar
language : en
Publisher: Academic Press
Release Date : 2021-06-13

Machine Learning Big Data And Iot For Medical Informatics written by Pardeep Kumar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-13 with Computers categories.


Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.



Environmental Microbial Forensics


Environmental Microbial Forensics
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Author : Gary A. Toranzos
language : en
Publisher:
Release Date : 2018

Environmental Microbial Forensics written by Gary A. Toranzos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Environmental forensics categories.


Microbiology in the service of law and public safety.



Advances In Microbial Food Safety


Advances In Microbial Food Safety
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Author : J Sofos
language : en
Publisher: Elsevier
Release Date : 2013-07-31

Advances In Microbial Food Safety written by J Sofos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-31 with Technology & Engineering categories.


New research, outbreaks of foodborne disease and changes to legislation mean that food microbiology research is constantly evolving. Advances in microbial food safety: Volume 1 summarises the key trends in this area for the food industry.The book begins with an introductory chapter discussing food safety management systems from the past to the present day and looking to future directions. The book moves on to provide updates on specific pathogens including Salmonella, Listeria monocytogenes and Bacillus species. New developments in the area are explored with chapters on emerging parasites in food, advances in separation and concentration of microorganisms from food samples, new approaches in microbial pathogen detection, and an update on novel methods for pathogen control in livestock preharvest.With its distinguished editor and international team of expert contributors, Advances in microbial food safety: Volume 1 is a standard reference for researchers, consultants and managers in the food industry responsible for food safety, analytical laboratories testing the safety of the food we eat, and researchers in academia working on food microbial safety. Summarises new research, outbreaks of foodborne disease and changes to legislation in food microbiology research Examines past, present and future food safety management systems Provides updates on specific pathogens including Salmonella, Listeria monocytogenes and Bacillus species