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System Design For Epidemics Using Machine Learning And Deep Learning


System Design For Epidemics Using Machine Learning And Deep Learning
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System Design For Epidemics Using Machine Learning And Deep Learning


System Design For Epidemics Using Machine Learning And Deep Learning
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Author : G. R. Kanagachidambaresan
language : en
Publisher: Springer Nature
Release Date : 2023-02-01

System Design For Epidemics Using Machine Learning And Deep Learning written by G. R. Kanagachidambaresan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Technology & Engineering categories.


This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.



Deep Learning Approaches For Early Diagnosis Of Neurodegenerative Diseases


Deep Learning Approaches For Early Diagnosis Of Neurodegenerative Diseases
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Author : Rodriguez, Raul Villamarin
language : en
Publisher: IGI Global
Release Date : 2024-02-14

Deep Learning Approaches For Early Diagnosis Of Neurodegenerative Diseases written by Rodriguez, Raul Villamarin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-14 with Medical categories.


Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.



Computation Of Artificial Intelligence And Machine Learning


Computation Of Artificial Intelligence And Machine Learning
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Author : Amit Kumar Bairwa
language : en
Publisher: Springer Nature
Release Date : 2024-10-22

Computation Of Artificial Intelligence And Machine Learning written by Amit Kumar Bairwa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.


The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur, India, in January 18–19, 2024. The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, such as Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics.



Ai Driven Alzheimer S Disease Detection And Prediction


Ai Driven Alzheimer S Disease Detection And Prediction
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Author : Lilhore, Umesh Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-09

Ai Driven Alzheimer S Disease Detection And Prediction written by Lilhore, Umesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Medical categories.


Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.



Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics


Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics
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Author : Anupam Yadav
language : en
Publisher: Springer Nature
Release Date : 2023-10-10

Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics written by Anupam Yadav and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Technology & Engineering categories.


This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.



Handbook Of Security And Privacy Of Ai Enabled Healthcare Systems And Internet Of Medical Things


Handbook Of Security And Privacy Of Ai Enabled Healthcare Systems And Internet Of Medical Things
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Author : Agbotiname Lucky Imoize
language : en
Publisher: CRC Press
Release Date : 2023-10-25

Handbook Of Security And Privacy Of Ai Enabled Healthcare Systems And Internet Of Medical Things written by Agbotiname Lucky Imoize and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Computers categories.


The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.



International Conference On Innovation Sustainability And Applied Sciences


International Conference On Innovation Sustainability And Applied Sciences
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Author : Chithirai Pon Selvan
language : en
Publisher: Springer Nature
Release Date : 2025-02-11

International Conference On Innovation Sustainability And Applied Sciences written by Chithirai Pon Selvan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Technology & Engineering categories.


The book presents the proceedings of the International Conference on Innovation, Sustainability and Applied Sciences (ICISAS 2023), which took place in Dubai, UAE, on 09-11 December 2023. The conference is a unique opportunity to learn from leading researchers and professionals on how to collectively shape the future through innovation, sustainability, and scientific vigor. Topics include but are not limited to sustainable materials and manufacturing, renewable energy, cyber incident and security, information security risk management, and sustainable finance and investments, to name a few. The conference is meant to attract experts from diverse industries, including senior government leaders, policymakers, eminent scientists, academicians, researchers, technocrats, and students from various parts of the world. This multi-professional conference is dedicated to all applied specialized and interdisciplinary fields.



Automatic Speech Recognition And Translation For Low Resource Languages


Automatic Speech Recognition And Translation For Low Resource Languages
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Author : L. Ashok Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-05-07

Automatic Speech Recognition And Translation For Low Resource Languages written by L. Ashok Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Computers categories.


AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity.



Information Visualization For Intelligent Systems


Information Visualization For Intelligent Systems
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Author : Premanand Singh Chauhan
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-18

Information Visualization For Intelligent Systems written by Premanand Singh Chauhan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.


Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world. The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines. Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature. These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.



Deep Learning With Keras


Deep Learning With Keras
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Author : Antonio Gulli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-04-26

Deep Learning With Keras written by Antonio Gulli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-26 with Computers categories.


Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A practical, hands-on guide with real-world examples to give you a strong foundation in Keras Who This Book Is For If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book. What You Will Learn Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm Fine-tune a neural network to improve the quality of results Use deep learning for image and audio processing Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases Identify problems for which Recurrent Neural Network (RNN) solutions are suitable Explore the process required to implement Autoencoders Evolve a deep neural network using reinforcement learning In Detail This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks. Style and approach This book is an easy-to-follow guide full of examples and real-world applications to help you gain an in-depth understanding of Keras. This book will showcase more than twenty working Deep Neural Networks coded in Python using Keras.