Improving the Accuracy and Performance of Deep Learning Model by Applying Hybrid Grey Wolf Whale Optimizer to P&C Insurance Data

Enhancing IoT Security: Predicting Password Vulnerability and Providing Dynamic Recommendations using Machine Learning and Large Language Models

Quantifying the Data Currency’s Impact on the Profit Made by Data Brokers in the Internet of Things Based Data Marketplace

Ordered Lorenz Regularization (OLR): A General Method to Mitigate Overfitting in General Insurance Pricing via Machine Learning Algorithms

Quantifying the Effects of Operational Technology or Industrial Control System based Cybersecurity Controls via CVSS Scoring

A Study on the Accuracy of Micro Expression Based Deception Detection with Hybrid Deep Neural Network Models

Improving the Performance of Machine Learning Model Selection for Electricity Cost Forecasting in Homebased Small Businesses via Exploratory Data Analysis

Create the Taxonomy for Unintentional Insider Threat via Text Mining and Hierarchical Clustering Analysis

Improving the Performance of Loan Risk Prediction based on Machine Learning via Applying Deep Neural Networks

Creating A Security Baseline and Cybersecurity Framework for the Internet of Things Via Security Controls

Understanding the Predictive Relationship Between Wireless Network Experience and Customer Churn

Improving the Performance of Closet-Set Classification in Human Activity Recognition by Applying a Residual Neural Network Architecture

Improving the Efficiency of Medical Malpractice Attorneys in Collecting, Processing, and Analyzing Data Via a Software-Assisted Solution

Enhancing Vulnerability Assessments for Electronic Voting Systems through an Augmented CVSS 3.1 Model

Mitigating Risk in Financial Industry by Analyzing Social-Media with Machine Learning Technology