Techniques And Tools For Artificial Intelligence Neural Networks Via R And Python
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Techniques And Tools For Artificial Intelligence Neural Networks Via R And Python
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Author : CESAR PEREZ LOPEZ
language : en
Publisher: SCIENTIFIC BOOKS
Release Date :
Techniques And Tools For Artificial Intelligence Neural Networks Via R And Python written by CESAR PEREZ LOPEZ and has been published by SCIENTIFIC BOOKS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Artificial Intelligence combines mathematical algorithms and Machine Learning, Deep Learning and Big Data techniques to extract the knowledge contained in data and present it in a comprehensible and automatic way. In this book, the use of neural networks for supervised and unsupervised learning is discussed in depth. Regarding supervised learning, the most common architectures are considered, such as Multilayer Perceptron, Radial Basis Network, ADALINE Networks, HOPFIELD Networks, Probabilistic Networks, Linear Networks, Generalised Regression Networks, LVQ Networks, Linear Networks and Networks for Regression Model Optimisation. In this section of supervised analysis, special attention should be paid to Neural Networks for Time Series Prediction such as the LSTM Network, GRU Networks, Recurrent Neural Networks RNN, NARX Networks, NNAR Networks and, in general, Dynamic Neural Networks. Unsupervised learning develops Pattern Recognition and Cluster Analysis Networks such as KOHONEN Networks (SOM Self-Organising Maps), Pattern Recognition Networks, Autoencoder Neural Networks, Transfer Learning Networks, Anomaly Detection Networks and Convolutional Neural Networks. The following topics describe methodologically the architectures of the different types of neural networks and their usefulness in practical applications. In addition, for each type of neural network, examples are presented with an optimal syntax in the R and Python languages.
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation
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Author : Robert Lemoyne
language : en
Publisher: World Scientific
Release Date : 2021-08-26
Applied Software Development With Python Machine Learning By Wearable Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation written by Robert Lemoyne and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Computers categories.
The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed. A perspective of machine learning in terms of a conceptual basis and operational overview is provided. Subsequently, an assortment of machine learning algorithms is evaluated based on quantification of a reach and grasp task for essential tremor using a smartphone as a wearable and wireless accelerometer system.Furthermore, these skills regarding the software development process and machine learning applications with wearable and wireless inertial sensor systems enable new and novel biomedical research only bounded by the reader's creativity.Related Link(s)
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Proceedings Of Trends In Electronics And Health Informatics
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Author : Mufti Mahmud
language : en
Publisher: Springer Nature
Release Date : 2024-10-16
Proceedings Of Trends In Electronics And Health Informatics written by Mufti Mahmud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Technology & Engineering categories.
This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2023), held at Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh, during December 26–27, 2023. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.
Artificial Intelligence And Industry 5 0
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Author :
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2025-03-01
Artificial Intelligence And Industry 5 0 written by and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Artificial Intelligence and Industry 5.0 is a textbook that bridges theoretical foundations of AI with its applications in the emerging areas of Industry 5.0. The book is written to provide a foundation for machine learning and deep learning with their applications in natural sciences by providing worked-out examples and exercises. The book takes a balanced approach between the theoretical basis for machine learning and its applications. It covers topics including artificial neural networks, machine learning, supervised and unsupervised learning, deep learning, convolution neural networks, and recurrent neural networks. Besides, the book also includes topics such as pattern recognition, natural language processing and metaheuristic algorithms which will give readers to understand some of the vital areas where AI plays a significant role. The well-explained algorithms and pseudocodes for each topic help students to apply them in their relevant field. The book, besides discussing the topics prescribed in the syllabus, is enriched with the research experience of the authors from different fields, including Theoretical or Computational Chemistry, Bioinformatics, and Computer Sciences, and various training programs conducted for the students/research community. This book is a result of 6 years of group discussions that took place with the groups of eminent professors and researchers in the field. For brief lectures/PPTs, the readers can visit PHI Learning Centre or https://github.com/gnsastry/ACDS-Lectures . KEY FEATURES • Includes topics prescribed in the syllabus as well as the latest research in the field. • The book provides a mathematical foundation and learning techniques in Artificial Intelligence, Machine Learning and Deep Learning. • Each chapter comprises a set of worked-out examples and exercises which are focused on the key concepts. • The book is organized with fundamental concepts and applications in natural sciences, healthcare, drug discovery, environmental sustainability, and more. TARGET AUDIENCE • B.Tech Computer Science and Engineering • B.Tech AI and ML • B.Tech all branches for elective course
Artificial Intelligence Tools And Applications In Embedded And Mobile Systems
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Author : Jorge Marx Gómez
language : en
Publisher: Springer Nature
Release Date : 2024-06-29
Artificial Intelligence Tools And Applications In Embedded And Mobile Systems written by Jorge Marx Gómez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-29 with Computers categories.
The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24th – 25th, 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI’s impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization.
Papers In Itjemast 12 6 2021
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Author :
language : en
Publisher: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Release Date :
Papers In Itjemast 12 6 2021 written by and has been published by International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.
Artificial Intelligence In Biomedical And Modern Healthcare Informatics
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Author : M. A. Ansari
language : en
Publisher: Elsevier
Release Date : 2024-10-03
Artificial Intelligence In Biomedical And Modern Healthcare Informatics written by M. A. Ansari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Science categories.
Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems
Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects
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Author : Laura Cercenelli
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-18
Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects written by Laura Cercenelli 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 2025-06-18 with Technology & Engineering categories.
Image-based digital tools include a range of technologies such as 3D modeling, 3D printing, Virtual Reality (VR), and Augmented Reality (AR), originating from a common data source, i.e. patient diagnostic imaging. Also, artificial intelligence (AI) is a rapidly increasing technology that can be applied to diagnostic imaging. In recent years these tools have attracted great attention in the medical field to support preoperative planning, intraoperative guidance, diagnostics, and therapeutics, as well as for educational purposes. Indeed, interventional procedures and surgery applications are being developed to display virtual medical images and patient-specific 3D virtual models that can be manipulated before the intervention. These virtual anatomical models can be used to build physical replicas and/or to design patient-specific surgical tools and therapeutic devices using advanced 3D printing technologies. The virtual models can also be visually overlaid, fused, or integrated into reality using AR. With AR visualization, different types of virtual information can be projected in the surgeon’s line of view, facilitating navigation and decision-making. Also, AI applied to diagnostic medical images is expected to produce significant innovations, such as more efficient automatic image scan and processing and a more efficient examination and diagnosis workflow.
Data Mining
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Author : Ian H. Witten
language : en
Publisher: Elsevier
Release Date : 2025-02-04
Data Mining written by Ian H. Witten and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on topics such as generative AI (GANs, VAEs, diffusion models), large language models (transformers, BERT and GPT models), and adversarial examples, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new author James R. Foulds, include today's techniques coupled with the methods at the leading edge of contemporary research - Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects - Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Features in-depth information on deep learning and probabilistic models - Covers performance improvement techniques, including input preprocessing and combining output from different methods - Provides an appendix introducing the WEKA machine learning workbench and links to algorithm implementations in the software - Includes all-new exercises for each chapter