Buch, Englisch, 389 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16-17, 2023, Revised Selected Papers, Part II
Buch, Englisch, 389 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 616 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-84058-6
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Technische Informatik
Weitere Infos & Material
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.
