2021 3rd International Conference On Applied Machine Learning Icaml
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2021 3rd International Conference On Applied Machine Learning Icaml
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Author :
language : en
Publisher:
Release Date : 2021
2021 3rd International Conference On Applied Machine Learning Icaml written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
2021 3rd International Conference On Applied Machine Learning Icaml
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-07-23
2021 3rd International Conference On Applied Machine Learning Icaml written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with categories.
The objective of machine learning is to understand the structure of data and fit that data into models that can be understood and utilized by people Machine Learning facilitates computers in building models from sample data in order to automate decision making processes based on data inputs Currently Machine Learning techniques are very much useful in research work to improve efficiency, speed and accuracy of outcomes in the presence of large scale data The continuous development of machine learning tools and techniques is responsible for understanding the non linearity existing in the data, extracting several features, finding hidden patterns in data, classifying data into labels and so on
2021 3rd International Conference On Applied Machine Learning
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Author :
language : en
Publisher:
Release Date : 2021
2021 3rd International Conference On Applied Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Proceedings Of Data Analytics And Management
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Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Proceedings Of Data Analytics And Management written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into six volumes.
Predicting Pregnancy Complications Through Artificial Intelligence And Machine Learning
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2023-09-25
Predicting Pregnancy Complications Through Artificial Intelligence And Machine Learning written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Computers categories.
Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.
Congress On Smart Computing Technologies
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2024-10-29
Congress On Smart Computing Technologies written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2023) organized by SAU Center for Research and Innovative Learning (SCRIL), South Asian University, India, from 2–3 December 2023. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human–computer interaction. The work is presented in two volumes.
Technological Tools For Predicting Pregnancy Complications
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2023-10-09
Technological Tools For Predicting Pregnancy Complications written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-09 with Medical categories.
The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
Advancements In Smart Computing And Information Security
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Author : Sridaran Rajagopal
language : en
Publisher: Springer Nature
Release Date : 2024-05-01
Advancements In Smart Computing And Information Security written by Sridaran Rajagopal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Computers categories.
This 4-volume CCIS post-conference set represents the proceedings of the Second International Conference on Advances in Smart Computing and Information Security, ASCIS 2023, in Rajkot, Gujarat, India, December 2023. The 91 full papers and 36 short papers in the volume were carefully checked and selected from 432 submissions. Various application areas were presented at the conference, including healthcare, agriculture, automotive, construction and engineering, pharmaceuticals, cybercrime and sports.
Handbook Of Deep Learning Models For Healthcare Data Processing
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Author : Ajay Kumar
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Handbook Of Deep Learning Models For Healthcare Data Processing written by Ajay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Technology & Engineering categories.
In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes. Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of deep learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of deep learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of deep learning models in healthcare, such as privacy, security, and bias. It provides technical details on deep learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers. Written to be a comprehensive guide for healthcare professionals, researchers, and data analysts, this handbook is an essential need for those who are interested in using deep learning models to analyze and process healthcare data. It is also suitable for those who have a basic understanding of machine learning and want to learn more about the latest advancements in deep learning in healthcare.
Research Challenges In Information Science Information Science And The Connected World
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Author : Selmin Nurcan
language : en
Publisher: Springer Nature
Release Date : 2023-05-22
Research Challenges In Information Science Information Science And The Connected World written by Selmin Nurcan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Computers categories.
This book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23–26, 2023. It focused on the special theme "Information Science and the Connected World". The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume.