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Advances in Computing and Data Sciences : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised Selected Papers, Part II / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Singh, Mayank, Editor.
Tyagi, Vipin, Editor.
Gupta, P. K., Editor.
Flusser, Jan, Editor.
Ören, Tuncer., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1614
Communications in Computer and Information Science, 1865-0937 ; 1614
Language:
English
Subjects (All):
Data structures (Computer science).
Information theory.
Computer engineering.
Computer networks.
Machine learning.
Computers.
Application software.
Data Structures and Information Theory.
Computer Engineering and Networks.
Machine Learning.
Computing Milieux.
Computer and Information Systems Applications.
Local Subjects:
Data Structures and Information Theory.
Computer Engineering and Networks.
Machine Learning.
Computing Milieux.
Computer and Information Systems Applications.
Physical Description:
1 online resource (XX, 445 pages) : 227 illustrations, 168 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
The two-volume proceedings CCIS 1613 + 1614 constitute revised selected papers from the 6th International Conference on Advances in Computing and Data Sciences, ICACDS 2022, which was held in Kurnool, India in April 2022. The total of 69 full papers presented in the proceedings was carefully reviewed and selected from 411 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.
Contents:
An Ensemble Feature Selection Framework for the Early Non-invasive Prediction of Parkinson's Disease from Imbalanced Microarray Data
Optimization Enabled Neural Network forthe Rainfall Prediction in India
Application Initiated Data Session as a Service for High Reliable and Safe Railway Communications
Acute Lymphoblastic Leukemia Disease Detection Using Image Processing and Machine Learning
Analysis of COVID-19 Detection Algorithms Based on Convolutional Neural Network Models Using Chest X-ray Images
Data Analysis Using NLP To Sense Human Emotions Through Chatbot
Medical cyber-physical systems enabled with permissioned blockchain
Multiclass Classification of Disease using CNN and SVM of Medical Imaging
Using KullBack-Liebler Divergence Based Meta-Learning Algorithm for Few-Shot Skin Cancer Image Classification: Literature Review and a Conceptual Framework
WE-Net: An Ensemble Deep Learning model for Covid-19 Detection in Chest X-ray Images using Segmentation and Classification
Time to Response Prediction for following up on Account Receivables in Healthcare Revenue Cycle Management
A Deep Learning Approach for Automated Detection and Classification of Alzheimer's Disease
A Real-Time Driver assistance system using Object Detection and Tracking
Cyber Crime Prediction Using Machine Learning
Real-Time Image based Weapon Detection using YOLO Algorithms
Audio Recognition using Deep Learning for Edge Devices
Comparative Analysis on Joint Modeling of Emotion and Abuse Detection in Bangla language
Determining dengue outbreak using predictive models
Subjective Examination Evaluation Based on Spelling Correction and Detection Using Hamming Distance Algorithm
Automated Classification of Sleep Stages using Single-channel EEG Signal: A Machine Learning-based method
Tuning Proximal Policy Optimization Algorithm in Maze Solving with ML-Agents
Efficient Approach to Employee Attrition Prediction by Handling Class Imbalance
Password Generation based on Song Lyrics and its Management
Recognition of Handwritten Gujarati Conjuncts using the Convolutional Neural Network Architectures: AlexNet, GoogLeNet, Inception V3, and ResNet50
Evolving Spiking Neural Network as a Classifier: An Experimental Review
Elements of TinyML on constrained resource hardware
A Meta-Heuristic based Clustering Mechanism for Wireless Sensor Networks
Univariate Time Series Forecasting of Indian Agriculture Emissions
A Novel Multimodal Fusion Technique For Text Based Hate Speech Classification
Detection of Breast Tumor in Mammograms using Single Shot Detector Algorithm
Monthly runoff prediction by hybrid CNN-LSTM model: A case study
Analysis of Malaria Incident Prediction for India
Meta-Learning for Few-shot Insect Pest Detection in Rice Crop
Analysis and Applications of Biogeography Based Optimization Techniques for Problem Solving
A Proposed Model for Precision Agriculture.
Other Format:
Printed edition:
ISBN:
978-3-031-12641-3
9783031126413
Access Restriction:
Restricted for use by site license.

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