Titlebook: Intelligent Systems Modeling and Simulation III; Artificial Intellige Samsul Ariffin Abdul Karim Book 2024 The Editor(s) (if applicable) an

叢林

GRACE

Book 2024 Networks, Efficient Numerical Algorithm and Statistical Methods, Studies?in Systems, Decision and Control (SSDC, volume 444, 22k Access). After two years, Intelligent Systems Modeling and Simulation have evolved tremendously through the latest and advanced emergence technologies and many?highly sop

Exuberance

A Location-Based Fraud Detection in Shipping Industry Using Machine Learning Comparison Techniques,identified the most effective algorithm for the shipping industry. Using RapidMiner, various algorithms were tested. The study found that k-NN is the most effective in terms of performance and accuracy for detecting fraud within the shipping industry.

BAIL

Counteract

,Machine Learning Based Extractive Text Summarization Using Document Aware and?Document Unaware Featument-aware features. The trained model is then used to predict the summary for the original Urdu text in the test document. The evaluation metrics used in this research are ROGUE-1 and ROGUE-2 for?evaluating the summary quality.

Mammal

漫步

Deep Learning for Air Pollution Predictive,hapter propose the deep learning techniques like Res-GCN, Convolutional LSTM mode to predict the air pollution accurately in advance. These models use the multisource imagery and sensor data to predict the pollution.

frugal

Detection of Confusion in Online Learners Using Electroencephalography (EEG),tained using RF at 65.78% with an average of 63.65%. Our results also show that better classification accuracies were obtained when the confusion detected based on student-defined labels instead of observer-defined labels.

debacle

medium