We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target site...
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We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (i) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machinelearning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e.g. catheter-electrode combinations) for signal processing (e.g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near futu
As 3D Facial Avatar Digitization has become an increasingly important and popular feature for Extended Reality (XR), a high-fidelity and specially customized face avatar can greatly improve immersive experience for us...
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As 3D Facial Avatar Digitization has become an increasingly important and popular feature for Extended Reality (XR), a high-fidelity and specially customized face avatar can greatly improve immersive experience for users who have been engaged in the virtual space. In this paper, we propose Fast 3D Facial Avatar Digitization (F3FAD), a novel end-to-end deep learning method for digitizing highly detailed 3D faces from a single image. There are four advantages of the F3F $A$ D. Unlike previous works, F3F $A$ D can infer both 3D mesh surface and color texture for overall human head model from a single view. There would be no need for sophisticated 3D scanning devices, multi-view stereo algorithms, or tedious capture procedures of hand-hold devices. It merely takes a single picture to digitize an entire face in the 3D world. Next, face attributes of the avatar can be freely manipulated according to user's preference. Thirdly, the avatar can be physically driven by multiple modalities of message inputs. At last, we have designed a novel AI computing framework to intelligently arrange the workload of F3FAD pipeline on a server-client system. In addition, we demonstrate the F3FAD technology with a speech-driven talking avatar, to showcase the advantages of our technology and system design in the real-world scenario.
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International conference on Harmony Search, Soft computing and Applications held at Virtua...
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ISBN:
(数字)9789811929489
ISBN:
(纸本)9789811929472;9789811929502
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International conference on Harmony Search, Soft computing and Applications held at Virtual conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
This book gathers outstanding research papers presented at the 6th International Joint conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022...
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ISBN:
(数字)9789819914357
ISBN:
(纸本)9789819914340;9789819914371
This book gathers outstanding research papers presented at the 6th International Joint conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machinelearning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
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