國立虎尾科技大學 |

Advanced Machine Intelligence and Signal Processing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced Machine Intelligence and Signal Processing/ edited by Deepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal.
其他作者:	Agarwal, Sonali.
面頁冊數:	XIV, 876 p. 404 illus., 324 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal, Speech and Image Processing . -
電子資源:	https://doi.org/10.1007/978-981-19-0840-8
ISBN:	9789811908408

Advanced Machine Intelligence and Signal Processing
Advanced Machine Intelligence and Signal Processing[electronic resource] /edited by Deepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal. - 1st ed. 2022. - XIV, 876 p. 404 illus., 324 illus. in color.online resource. - Lecture Notes in Electrical Engineering,8581876-1119 ;. - Lecture Notes in Electrical Engineering,317.

Leukocyte Subtyping using Convolutional Neural Networks for Enhanced Disease Prediction -- Comparative analysis of novel approaches to automated COVID-19 detection using radiography images -- OXGBoost: An Optimized eXtreme Gradient Boosting Algorithm for Classification of Breast Cancer -- An Empirical Study on Graph-based Clustering Algorithms using Schizophrenia Genes -- Traffic Rule Violation Detection System: Deep Learning Approach -- A Web Application for Early Prediction of Diabetes Using Artificial Neural Network -- Web based disease prediction system via machine learning approach.

This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).

ISBN: 9789811908408

Standard No.: 10.1007/978-981-19-0840-8doiSubjects--Topical Terms:

1366353
Signal, Speech and Image Processing .

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advanced Machine Intelligence and Signal Processing
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