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Author: IEEE Staff Publisher: ISBN: 9781728168838 Category : Languages : en Pages :
Book Description
The aim of ASPCON 2020 (2020 IEEE Applied Signal Processing Conference) is to bring science and applications together with emphasis on practical aspects of signal processing in new and emerging technologies It is directed as much at the industry as at the academia ASPCON 2020 will highlight the diverse applications of signal processing and encourage interdisciplinary approaches and techniques All papers should attempt to bring theory to real life applications
Author: IEEE Staff Publisher: ISBN: 9781728168838 Category : Languages : en Pages :
Book Description
The aim of ASPCON 2020 (2020 IEEE Applied Signal Processing Conference) is to bring science and applications together with emphasis on practical aspects of signal processing in new and emerging technologies It is directed as much at the industry as at the academia ASPCON 2020 will highlight the diverse applications of signal processing and encourage interdisciplinary approaches and techniques All papers should attempt to bring theory to real life applications
Author: Rajesh Kumar Tripathy Publisher: Elsevier ISBN: 0443141401 Category : Computers Languages : en Pages : 186
Book Description
Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals. In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis Covers methodologies as well as experimental results and studies Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications
Author: Brijesh Iyer Publisher: Springer Nature ISBN: 9811620083 Category : Technology & Engineering Languages : en Pages : 601
Book Description
This book is a collection of selected high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2021), organized by Dr. Babasaheb Ambedkar Technological University, Lonere, India, during January 30–31, 2021. Focusing on frontier topics and next-generation technologies, it presents original and innovative research from academics, scientists, students and engineers alike. The theme of the conference is Applied Information Processing System.
Author: Nibaran Das Publisher: Springer Nature ISBN: 9819915090 Category : Technology & Engineering Languages : en Pages : 485
Book Description
This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2022) organized by departments of Electronics and Communication Engineering, Computer Applications, and Biomedical Engineering, North-Eastern Hill University, Shillong, Meghalaya, India during 7 – 9 September, 2022. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.
Author: Subarna Shakya Publisher: Springer Nature ISBN: 9819970938 Category : Technology & Engineering Languages : en Pages : 741
Book Description
This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.
Author: IEEE Staff
Author: IEEE Staff
Author: Debangshu Dey
Author: Debangshu Dey
Author: Miguel Botto-Tobar
Author: Rajesh Kumar Tripathy
Author: Brijesh Iyer
Author: 
Author: Nibaran Das
Author: Subarna Shakya
Author: Sridaran Rajagopal