Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören, V. R. Sonawane.

Format:

Book

Contributor:

Singh, Mayank, Editor.

Tyagi, Vipin, Editor.

Gupta, P. K., Editor.

Flusser, Jan, Editor.

Ören, Tuncer., Editor.

Sonawane, V. R., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Communications in computer and information science 1865-0937 ; 1440

Communications in Computer and Information Science, 1865-0937 ; 1440

Language:

English

Subjects (All):

Data structures (Computer science).

Information theory.

Machine learning.

Application software.

Social sciences-Data processing.

Education-Data processing.

Computer vision.

Data Structures and Information Theory.

Machine Learning.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer Vision.

Local Subjects:

Data Structures and Information Theory.

Machine Learning.

Computer and Information Systems Applications.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computer Vision.

Physical Description:

1 online resource (XX, 750 pages) : 403 illustrations, 274 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. The papers in Part I and II are centered around topics like distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations database management system engines, data mining, information retrieval query processing, database and storage security, ubiquitous and mobile computing, parallel computing methodologies, and others. *The conference was held virtually due to the COVID-19 pandemic.

Contents:

An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT

Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach

Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach

Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images

Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN

Efficient Social Distancing Detection using Object Detection and Triangle Similarity

Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME)

Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm

A Study on Morphological Analyser for Indian Languages : A Literature Perspective

Cyber Safety Against Social Media Abusing

Predictive Rood Pattern Search for Efficient Video Compression

An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers

Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate

Live stream processing techniques to assist unmanned, regulated railway crossings

Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval

Facial Monitoring Using Gradient Based Approach

Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets

Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall

Automatic Tabla Stroke Source Separation Using Machine Learning

Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach

Machine Learning Model Interpretability in NLP and Computer Vision Applications

Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm

Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach

Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network

Performance Analysis of Channel coding techniques for 5G networks

An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product

A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit

Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network

Key-Based Decoding for Coded Modulation Schemes in the presence of ISI

Optimizing the Performance of KNN Classifier for Human Activity Recognition

Face Recognition with Disguise and makeup Variations Using Image Processing and Machine Learning

Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image

Visibility improvement in hazy conditions via a deep learning based image fusion approach

Performance of Reinforcement Learning Simulation: x86 v/s ARM

A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm

Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease

Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images

Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning

Biological Sequence Embedding based Classification for MERS and SARS

Supply Path Optimization in Video Advertising Landscape

Stack-based CNN Approach to Covid-19 Detection

Performance Analysis of Various Classifiers for Social Intimidating Activities Detection

Technique for Enhancing the efficiency and security of lightweight IoT devices

Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram

Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment

D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks

Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization

Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making

Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics

Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms

Collaborative Recommender System (CRS) using optimized SGD - ALS

Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions

Speech based Multiple Emotion Classification model using Deep Learning

A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development

Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN

Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms

Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval

Application of Deep Learning in Classification of Encrypted Images

Ear Recognition Using Pretrained Convolutional Neural Networks

An Adaptive Service Placement Framework in Fog Computing Environment

Efficient Ink Mismatch Detection Using Supervised Approach.

Other Format:

Printed edition:

ISBN:

978-3-030-81462-5

9783030814625

Access Restriction:

Restricted for use by site license.