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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 de Mayank Singh

Advances in Computing and Data Sciences: 6th International Conference, ICACDS 2022, Kurnool, India, April 22–23, 2022, Revised Selected Papers, Part II: Communications in Computer and Information Science, cartea 1614

Editat de Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören
en Limba Engleză Paperback – 27 iul 2022
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.

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Specificații

ISBN-13: 9783031126406
ISBN-10: 3031126408
Pagini: 445
Ilustrații: XX, 445 p. 227 illus., 168 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.65 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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.