Full Description
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.
Contents
.- 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.
