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Titlebook: Intelligent Systems and Human Machine Collaboration; Select Proceedings o Siddhartha Bhattacharyya,Mario Koeppen,Vincenzo Pi Conference pro

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发表于 2025-3-21 19:34:14 | 显示全部楼层 |阅读模式
书目名称Intelligent Systems and Human Machine Collaboration
副标题Select Proceedings o
编辑Siddhartha Bhattacharyya,Mario Koeppen,Vincenzo Pi
视频video
概述Presents proceedings of International Conference on Intelligent Systems and Human-Machine Collaboration 2022.Discusses findings in human-machine interaction, quantum computational intelligence, and Bi
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Intelligent Systems and Human Machine Collaboration; Select Proceedings o Siddhartha Bhattacharyya,Mario Koeppen,Vincenzo Pi Conference pro
描述.The book constitutes proceedings of the International Conference on Intelligent Systems and Human-Machine Collaboration 2022. The papers consist of research from different domains of human-machine interaction, computer engineering like quantum computational intelligence, big data analytics, the Internet of things, etc. The book includes significant contributions from academia and industry dealing with human-machine interaction both from the theoretical development and the application point of view. It also brings out research articles in interdisciplinary platforms applying human-machine interaction. The book is useful to researchers and practitioners alike..
出版日期Conference proceedings 2023
关键词Human Centered Machines; Intelligent Data and Signal Processing; Augmented Reality; MIMO Systems; Intell
版次1
doihttps://doi.org/10.1007/978-981-19-8477-8
isbn_softcover978-981-19-8479-2
isbn_ebook978-981-19-8477-8Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Landmark Identification from Low-Resolution Real-Time Image for Pose Estimation,cross the world are now performing considerable studies on this topic. Human action recognition and posture are key criteria for preserving consistency inside real-time backdrops and objects. In order to comprehend human behavior, key points must be identified. One can better comprehend future funct
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Nirbhaya Naari: An Artificial Intelligence Tool for Detection of Crime Against Women,r and fight against worldwide. The psychological impacts of abuse on the victim can lead to depression, PTSD, eating disorders, withdrawal from the outside world and society, and low self-esteem to name a few. The physical implications could result in an inability to get to work, wage loss, dearth o
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Pre-eclampsia Risk Factors Association with Cardiovascular Disease Prediction and Diagnosing Using ein less intake, abnormalities in hematologic or some cerebral, urine manifestations. This disease effects 3–5% at the time of pregnancy. It is the reason for preeclampsia symptoms. In this proposed work machine learning techniques are applying to improve the prediction rate and diagnosis, preventio
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Analysis of Twitter Data for Business Intelligence,ss. Gaining these insights these days has become very simple. They are available in the form of—website reviews, social media, etc. The organizations have employees manually analysing this data to figure out the customer sentiments about their products and services, but this process is very time con
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,Artificial Neural Network Design for CMOS NAND Gate Using Sigmoid Function,alth care, etc. Complementary Metal Oxide Semiconductor (CMOS) circuits are used for the design of the hardware. In this paper, we are taking CMOS NAND circuit and experimenting how the NAND gate is useful for an intelligent system. The proposed work was done using the sigmoid function for observing
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A Pioneer Image Steganography Method Using the SOD Algorithm,ronment. As a result of this work, we have shed light on the existing popular techniques of Image Steganography in great detail, and we have also demonstrated a new Spatial Domain Image Steganography technique based on the ‘SOD’—Sum-Of-Digit method, wherein secret data is embedded in an image throug
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