Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-06
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Science categories.
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more. - Uncovers extended functions of AI in microbiology - Includes topics surrounding the production and development of novel drug targets through AI - Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector
Artificial Intelligence In Microbiology Scope And Challenges Volume 1
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-02
Artificial Intelligence In Microbiology Scope And Challenges Volume 1 written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Science categories.
Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective. - Uncovering extended functions of AI in Microbiology. - Production and development of novel drug targets through AI. - Challenges for using and selecting appropriate AI tools in health, agriculture and food sector
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Academic Press
Release Date : 2025-01-24
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Science categories.
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more. Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more.
Primer Design
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-07-01
Primer Design written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.
Primer Design, Volume 57 in the Methods in Microbiology series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as Methods on discriminating between bacterial strains, Primers to PCR and qPCR techniques, and more. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in Methods in Microbiology serials - Updated release includes the latest information on Primer Design
Artificial Intelligence In Environmental Microbiology
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Author : Mohammad-Hossein Sarrafzadeh
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-05
Artificial Intelligence In Environmental Microbiology written by Mohammad-Hossein Sarrafzadeh 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 2022-07-05 with Science categories.
Artificial Intelligence In Pathogenic Microorganism Research
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Author : Chen Li
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-26
Artificial Intelligence In Pathogenic Microorganism Research 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 2025-05-26 with Science categories.
Infections caused by pathogenic microorganisms, including bacteria, viruses, fungi, and other eukaryotic microbes, seriously threaten human health. Traditional research methods and laboratory techniques have many limitations and focus more on the identification and classification of pathogenic microorganisms. In recent years, technologies such as whole genome sequencing and advanced bioinformatics analysis have promoted the research of pathogenic microorganisms. However, with the interplay of multiple factors like global climate change, ecological and environmental changes, urbanization, social behavior, and lifestyle changes, pathogenic microorganisms' transmission patterns and impact scope are gradually changing. There is an urgent need for multidimensional technological approaches to achieve epidemiological monitoring and evolutionary direction prediction of pathogenic microorganisms. Additionally, more robust data processing and analysis capabilities are required for rapid identification and diagnosis, monitoring of drug resistance, development of antimicrobial drugs and vaccines, and optimization of treatment plans. Therefore, Artificial Intelligence (AI) has entered our field of vision. In the field of pathogenic microorganisms, AI has shown tremendous potential. In epidemiological research, AI technology can quickly and automatically collect, integrate and analyze the epidemic data of infectious diseases from different regions, so as to predict the trend and scope of disease transmission, and track the source of infection. In the process of diagnosis and treatment of infectious diseases, machine learning can not only analyze the microscopic images of pathogens, but also analyze the genome sequences of multiple pathogens in a short time, and predict their sensitivity or resistance to specific antibiotics, greatly improving the efficiency and accuracy of diagnosis and treatment of infectious diseases. In drug or vaccine development, researchers can use AI models to predict efficient antigens for diseases such as HIV and influenza, and thus design more effective vaccine candidates. AI models can also analyze the interactions between drugs, pathogens, and patients, in order to design the optimal dosing regimen for each patient. In a word, AI can help human beings better deal with infectious diseases. We welcome original reviews, articles, and other contributions in related fields, which mainly include the following aspects: (1) The application of AI in the differential diagnosis of pathogenic microorganisms (2) The application of AI in the formulation of anti-infection treatment plans (3) The application of AI in monitoring and predicting the prevalence of pathogenic microorganisms (4) Application of AI in the prediction and prevention of infectious diseases caused by pathogenic microorganisms (5) The application of AI in the research and development of anti-infective drugs and vaccines
From Waste To Wealth
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Author : Raj Kumar Arya
language : en
Publisher: Springer Nature
Release Date : 2024-05-27
From Waste To Wealth written by Raj Kumar Arya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-27 with Technology & Engineering categories.
This book serves as a guide, leading readers towards a world where waste ceases to be a burden, but a wellspring of possibilities. Whether the goal is to enhance expertise, ignite creativity, or develop a thorough grasp of waste's transformative possibilities, this book serves to achieve a more sustainable and prosperous future. It provides an invaluable treasure of knowledge for readers, researchers, working professionals, and academics alike, and offers a comprehensive roadmap to address the waste crisis with sustainable solutions. The book introduces readers to a diverse range of sustainable approaches that address the pressing challenges of waste management and resource conservation. From converting waste into building materials to employing waste in innovative 3D printing applications, these sustainable approaches empower individuals to make informed choices for a greener future. It provides in-depth insights that captivate waste management and environmental specialists while offering accessible entry points for those new to the subject.
Machine Learning For Business Analytics
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Author : Hemachandran K
language : en
Publisher: CRC Press
Release Date : 2022-07-21
Machine Learning For Business Analytics written by Hemachandran K and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Business & Economics categories.
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.
Ai Technologies For Enhancing Recycling Processes
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Author : Mitra, Debasis
language : en
Publisher: IGI Global
Release Date : 2025-01-16
Ai Technologies For Enhancing Recycling Processes written by Mitra, Debasis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-16 with Technology & Engineering categories.
AI technologies revolutionize recycling processes by offering innovative solutions to the challenges of waste management and resource recovery. By utilizing advanced algorithms, machine learning, and computer vision, organizations may enhance sorting accuracy, optimize logistics, and improve the efficiency of recycling systems. Robotics can identify and separate recyclable materials more effectively than traditional methods, reducing contamination and increasing recovery rates. Predictive analytics can streamline operations by anticipating demand and adjusting processing capabilities. Further exploration into the integration of AI in recycling may increase operational performance while supporting current environmental goals and a circular economy. AI Technologies for Enhancing Recycling Processes explores the influential role technologies play in transforming waste management practices and propelling us towards sustainability. It examines the pressing international issue of waste accumulation and critiques the inadequacies inherent in conventional disposal methods, revealing how advancements such as automation, robotics, and state-of-the-art processing methods can revolutionize our approach. This book covers topics such as environmental science, nanotechnology, and sustainability, and is a useful resource for computer engineers, material scientists, environmentalists, business owners, economists, academicians, and researchers.
Digital Farming And Smart Agriculture For Sustainable Future
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Author : Febin Daya J. L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Digital Farming And Smart Agriculture For Sustainable Future written by Febin Daya J. L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers in this field. Discusses various aspects of AI-driven demand forecasting and management Covers smart IoT framework for precision agriculture Includes topics related to deep learning techniques combined with IoT for smart agriculture Explores the scope of computer vision technologies aid in precise crop management Highlights the potential of energy optimization and environmental sustain- ability in agricultural practices This reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.