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Applied computing for software and s...

International Symposium on Applied Computing for Software and Smart Systems (2022 :)

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Applied computing for software and smart systems = proceedings of ACSS 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied computing for software and smart systems/ edited by Rituparna Chaki ... [et al.].
Reminder of title:	proceedings of ACSS 2022 /
remainder title:	ACSS 2022
other author:	Chaki, Rituparna.
corporate name:	International Symposium on Applied Computing for Software and Smart Systems
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 306 p. :ill., digital ;24 cm.
[NT 15003449]:	Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.
Contained By:	Springer Nature eBook
Subject:	Computer software - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-6791-7
ISBN:	9789811967917

Applied computing for software and smart systems = proceedings of ACSS 2022 /
Applied computing for software and smart systemsproceedings of ACSS 2022 /[electronic resource] :ACSS 2022edited by Rituparna Chaki ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xiii, 306 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 5552367-3389 ;. - Lecture notes in networks and systems ;v. 555..

Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.

This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09-10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.

ISBN: 9789811967917

Standard No.: 10.1007/978-981-19-6791-7doiSubjects--Topical Terms:

696751
Computer software
--Congresses.

LC Class. No.: QA76.751 / .I57 2022

Dewey Class. No.: 005.3

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505 0 $a Part 1: Algorithms -- Chapter 1. Predicting Useful Information From Typing Patterns Using A Bootstrapped-based Homogeneous Ensemble Approach -- Chapter 2. Path Dependencies in Bilateral Relationship-Based Access Control -- Chapter 3. A robust approach to document skew detection -- Part 2: Smart systems and Networks -- Chapter 4. MBLEACH: Modified Blockchain Based LEACH Protocol -- Chapter 5. Community Detection in Large and Complex Networks Using Semi-local Similarity Measure -- Chapter 6. Evaluation of SVM Kernels With Multiple Uncorrelated Feature Subsets Selected By Multiple Correlation Methods for Reflection Amplification DDoS Attacks Detection -- Chapter 7. BLRS: An Automated Land Records Management System using Blockchain Technology -- Part 3: Machine Learning -- Chapter 8. Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks -- Chapter 9. Multi-objective fuzzy reliability redundancy allocation for xj-out-of-mj system using fuzzy rank based multi-objective PSO -- Chapter 10. Image Binarization With Hybrid Adaptive Thresholds -- Chapter 11. BEN-CNN-BiLSTM: A Model of Consequential Document Set Identification of Bengali Text -- Part 4: Smart Healthcare -- Chapter 12. A Machine Learning Model for Automatic Sleep Staging based on Single-channel EEG signals -- Chapter 13. Deep learning-based prediction of time-series single cell RNA-seq data -- Chapter 14. Stress Analysis Using Machine Learning -- Chapter 15. Deep Learning towards Brain Tumor Detection using MRI images. etc.
520 $a This book features a collection of high-quality research papers presented at the 9th International Symposium on Applied Computing for Software and Smart systems (ACSS 2022), to be held during September 09-10, 2022 in Kolkata, India. The book presents innovative works by undergraduate, graduate students and as well as PhD scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.
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