Titlebook: Advances on Intelligent Informatics and Computing; Health Informatics, Faisal Saeed,Fathey Mohammed,Fuad Ghaleb Conference proceedings 202

Coterminous

Rainfall Forecasting Using the Group Method of Data Handling Model: A Case Study of Sarawak, Malaysi, dengue forecasting, tourism forecasting, and others. The Artificial Neural Network (ANN) is a popular Artificial Intelligence (AI) model extensively employed in much research for time series forecasting due to its nonlinear modeling ability. The group method of data handling (GMDH) is an AI model

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Detecting Public Outlook Towards Vaccination Using Machine Learning Approaches: A Systematic Reviewoughout the years and expressed openly in various social media platforms. Research works on automating the detection of public’s opinion towards vaccination in social media has recently gained significant popularity with the rise of the COVID-19 pandemic. This paper presents a systematic review on t

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Automatic Saudi Arabian License Plate Detection and Recognition Using Deep Convolutional Neural Netwon-based Convolutional Neural Networks (Faster-RCNN) and Convolutional Neural Networks (CNN). The Faster-RCNN model is used for LP detection, whereas CNN is applied for characters’ recognition from LPs. The obtained experimental results prove the robustness and effectiveness of the proposed approach

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Ship Detection Approach Using Machine Learning Algorithmsch on how ships could be detected. Based on the result, Random Forest outperforms other models in terms of accuracy, scoring 97.20% for RGB and 98.90% for HSV, in comparison with Decision Tree and Naive Bayes those are scored 96.82% for RGB and 97.18% for HSV and 92.43 for RGB and 96.30% for HSV res

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