| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Advanced informatics for computing research/ edited by Ashish Kumar Luhach ... [et al.]. |
| Reminder of title: |
6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16-17, 2023 : revised selected papers. |
| remainder title: |
ICAICR 2023 |
| other author: |
Luhach, Ashish Kumar. |
| corporate name: |
International Conference on Advanced Informatics for Computing Research |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xvi, 389 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer science - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-84059-3 |
| ISBN: |
9783031840593 |