Applied Computing for Software and Smart Systems [electronic resource] : Proceedings of ACSS 2022 / edited by Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki.

Colaborador(es): Chaki, Rituparna [editor.] | Cortesi, Agostino [editor.] | Saeed, Khalid [editor.] | Chaki, Nabendu [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 555Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XIII, 306 p. 153 illus., 98 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811967917Tema(s): Computational intelligence | Artificial intelligence | Internet of things | Cloud Computing | Big data | Artificial intelligence -- Data processing | Computational Intelligence | Artificial Intelligence | Internet of Things | Cloud Computing | Big Data | Data ScienceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

Acceso multiusuario

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.

UABC ; Perpetuidad

Con tecnología Koha