
Advanced Informatics for Computing Research
6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16-17, 2023, Revised Selected Papers, Part II
Springer (Publisher)
Published on 29. March 2025
Book
Paperback/Softback
XVI, 389 pages
978-3-031-84058-6 (ISBN)
Description
This two-volume set constitutes the revised selected papers of the 6th International Conference on Advanced Informatics for Computing Research, ICAICR 2023 held in Rohtak, Haryana, India, in December 16-17, 2023.
The 58 full papers presented in these proceedings were carefully reviewed and selected from 225 submissions. They are organized in topical sections as follows: Volume number 2072: Artificial Intelligence; Data Science; Human computer interaction (HCI), Machine Learning.Volume number 2073: Machine Learning; Security and Privacy.
The 58 full papers presented in these proceedings were carefully reviewed and selected from 225 submissions. They are organized in topical sections as follows: Volume number 2072: Artificial Intelligence; Data Science; Human computer interaction (HCI), Machine Learning.Volume number 2073: Machine Learning; Security and Privacy.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
123 farbige Abbildungen, 37 s/w Abbildungen
XVI, 389 p. 160 illus., 123 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 23 mm
Weight
616 gr
ISBN-13
978-3-031-84058-6 (9783031840586)
DOI
10.1007/978-3-031-84059-3
Schweitzer Classification
Other editions
Additional editions

Ashish Kumar Luhach | Dharm Singh Jat | Uttam Ghosh
Advanced Informatics for Computing Research
6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16-17, 2023, Revised Selected Papers, Part II
E-Book
03/2025
Springer
€85.59
Available for download
Content
Machine Learning
.- Enhancing Breast Cancer Diagnosis and Prognosis Through Machine Learning and Deep Learning: A Comparative Analysis of Predictive Models.- Survival prediction of Primary Biliary Cholangitis disease: A Comparative Classification Analysis using Machine Learning Methods..- Enhancing Predictive Accuracy in Used Car Pricing Models: A Comparative Analysis of Regression Techniques.- A Review on Machine Learning Based Approaches for Automated Detection of COVID-19 disease.- A Novel Sentiment Analysis of Teacher Trainees' Views on Curriculum of Teacher Education Programmes in Maharashtra State of India.- Enhancing Diabetes Risk Assessment with Ensemble Learning Methods.- Fusing CNN and LSTM Models for Enhanced Fake News Detection using Deep Learning.- Driver Distraction Prediction: A Kernel Functions Analysis for Deep Kernelized Autoencoder.- Innovative VLSI-Based Approaches for Abnormal Heartbeat Detection.- Advanced Techniques for Agricultural Crop Yield Prediction using Machine Learning and Computer Vision.- An impact of Feature Selection in Association rule mining for Market Basket analysis.- Evaluating the Role of Deep Learning and Machine Learning in Understanding the Influence of Lifestyle and Environmental Factors on Obesity Prevalence and Formulating Tailored Intervention Approaches.- Emotion Detection by Face Tracking using ML Techniques.- Classification using Hybrid Classical-Quantum Machine Learning.- Deep Neural Network and Convolutional Neural Network Implementation in 5G enabled IoT for Enhanced Latency.- Exploring an Ensemble Classifier Approach for Predicting Crop Yields in India Using Climate Variability Data.- Interpreting Transfer Learning-based Convolutional Neural Networks for COVID-19 Detection in CT Scan Images.- Cloud-Powered Attendance Solutions: Streamlining Hourly Tracking with Facial Recognition on AWS.- Implementing an NFT by Developing a Smart Contract in OpenSea Marketplace.- Deep Fake Video Detection Using Transfer Learning Techniques.- Detecting Potholes using Machine Learning and Transfer Learning Models: Transforming Road Safety.- Hybrid-Sarcasm: An Approach for Sarcasm Detection and Classification using Hybrid MachineLearning Methods.- Text Mining Data Summarization Approach for COVID-19 using Hybrid Machine Learning Techniques.-
Security and Privacy
.- A Survey on Vehicular Ad Hoc Networks and Routing Protocols.- Investigating the Impact of Operating Systems and File Systems on Redis: A Comparative Study of Windows, Ubuntu, Ext4, and XFS.- FenceGuard Attendance: Secure and Efficient.- Investigating a Comprehensive IoT Security Solution Based on Blockchain.- A Comparative Analysis of Detection and Mitigation of False Data Injection Attacks in the Internet of Things.- Enhanced Malware Detection: Leveraging Volatility Analysis and Machine LearningSynergy.