Advances in Artificial Intelligence and Machine Learning in Big Data Processing

First International Conference, AAIMB 2023, Chennai, India, August 17-18, 2023, Proceedings, Part-II
Herausgegeben:Geetha, R.; Dao, Nhu-Ngoc; Khalid, Saeed

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17-18, 2023.

The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections:

Part I- artificial intelligence and data analytics; deep learning.

Part II- artificial intelligence and data analytics; machine learning.

Produktdetails

• Communications in Computer and Information Science 2203
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-73067-2
• 2025
• Seitenzahl: 348
• Erscheinungstermin: 1. Oktober 2024
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 528g
• ISBN-13: 9783031730672
• ISBN-10: 3031730674
• Artikelnr.: 71477161

Inhaltsangabe

.- Artificial Intelligence and Data Analytics.

.- Feature Fusion Based Bayesian model detection in the prognosis of glioma - A Survey.

.- AI Voice Assistant Using Python.

.- Research Output on Artificial Intelligence in India: A Scientometric study.

.- Analyzing Hand Gestures using Object Detection and Processing it into Local Language.

.- A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Terms.

.- Machine Learning.

.- Detection of DoS Attack using Machine learning in Software Defined Network.

.- Regression Model Approach towards Concrete Compressive Strength Prediction and Evaluation.

.- An Enhanced Artificial Neural Network Model for type 2 Diabetes Classification 84 using SMOTE and SMOTETomek with Effective Feature Selection Methods.

.- Machine Learning based Traffic Congestion and Accident Prevention Analysis.

.- A Comparative Evaluation of Machine Learning Methods for Predicting Chronic Kidney Disease.

.- Detecting Implicit Aspects of Customer Experience in the Hotel Industry Using a Machine Learning Algorithm.

.- Vehicle Insurance Claim Prediction.

.- Ensemble Learning Models for Detecting Spam Over Social Networks Using RFE.

.- An Intelligent Machine Learning Framework for Melanoma Classification System: A Critique.

.- Online Network Intrusion Detection System for IOT structure using Machine Learning Techniques.

.- An Analysis of Machine Learning Tools and Algorithms.

.- Ensemble Learning-Based Android Malware Detection.

.- Handling Imbalanced Data for Credit Card Fraudulent Detection: A Machine Learning Approach.

.- An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated
Attribute Selector for Healthcare Datasets.

.- Engineering Open Access Research Analysis of Machine Learning Publications in India.

.- Optimizing Coronary Illness Prediction Using Hyperparameter Tuning Through Machine Learning.

.- Detection and Classification of Intracranial Tumor in Machine Learning using Fuzzy C-Means Algorithm.

.- A survey of Anomaly Detection in Video Surveillance.

.- Prediction and comparison of ML Algorithm for Heart Disease.

.- Comparative Analysis of Classifiers for Chat Classification: A Study on Random Forest, Support
Vector Machine and Multinomial Naive Bayes with Bag of Words and TF-IDF.