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Intelligent Systems and Human Machine Collaboration [electronic resource] : Select Proceedings of ICISHMC 2022 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Electrical Engineering ; 985Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XVIII, 273 p. 151 illus., 118 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811984778
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.437 23
  • 004.019 23
LOC classification:
  • QA76.9.U83
  • QA76.9.H85
Online resources:
Contents:
Landmark identification from low-resolution real-time image pose estimation -- BLUEBOT – A Bluetooth Controlled Robot for Deciding Human Intervention based on the Environment check -- Nirbhaya Naari: An Artificial Intelligence tool for detection of crime against Women -- A Clinical Decision Support System Using Machine Learning To Forecast The Risk Of Chronic Pulmonary Disease And Anthracosis -- Pre-Eclampsia Risk Factors Association with Cardiovascular Disease Prediction and Diagnosing Using Machine Learning -- A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome -- Analysis of Twitter Data for Business Intelligence -- Detection and Classification of Cyber Threats in Tweets towards Prevention -- Artificial Neural Network Design for CMOS NAND Gate Using Sigmoid Function -- A Pioneer Image Steganography Method Using The SOD Algorithm.
In: Springer Nature eBookSummary: 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.
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Landmark identification from low-resolution real-time image pose estimation -- BLUEBOT – A Bluetooth Controlled Robot for Deciding Human Intervention based on the Environment check -- Nirbhaya Naari: An Artificial Intelligence tool for detection of crime against Women -- A Clinical Decision Support System Using Machine Learning To Forecast The Risk Of Chronic Pulmonary Disease And Anthracosis -- Pre-Eclampsia Risk Factors Association with Cardiovascular Disease Prediction and Diagnosing Using Machine Learning -- A Low Resource Machine Learning Approach for Prediction of Dressler Syndrome -- Analysis of Twitter Data for Business Intelligence -- Detection and Classification of Cyber Threats in Tweets towards Prevention -- Artificial Neural Network Design for CMOS NAND Gate Using Sigmoid Function -- A Pioneer Image Steganography Method Using The SOD Algorithm.

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.

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