Applied Computing for Software and Smart Systems
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Applied Computing for Software and Smart Systems: Proceedings of ACSS 2022

Applied Computing for Software and Smart Systems: Proceedings of ACSS 2022

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International Edition


About the Book

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.

Table of Contents:
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 usingfuzzy 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.


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Product Details
  • ISBN-13: 9789811967900
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Verlag, Singapore
  • Height: 235 mm
  • No of Pages: 306
  • Sub Title: Proceedings of ACSS 2022
  • ISBN-10: 9811967903
  • Publisher Date: 23 Feb 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 155 mm


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