Advanced Informatics for Computing Research, Kartoniert / Broschiert
Advanced Informatics for Computing Research
- 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16-17, 2023, Revised Selected Papers, Part II
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Ashish Kumar Luhach, Dharm Singh Jat, Uttam Ghosh, Xiao-Zhi Gao, Pawan Lingras
- Verlag:
- Springer, 03/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031840586
- Artikelnummer:
- 12259955
- Umfang:
- 408 Seiten
- Gewicht:
- 616 g
- Maße:
- 235 x 155 mm
- Stärke:
- 23 mm
- Erscheinungstermin:
- 29.3.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Advanced Informatics for Computing Research |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 82,13* |
Klappentext
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.