Titlebook: Machine Intelligence and Data Science Applications; Proceedings of MIDAS Amar Ramdane-Cherif,T. P. Singh,Jung-Sup Um Conference proceedings

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Deep Learning-Based Framework for URL Phishing Detection,is and will continue to be a trending and hot topic in the digital world. There are various available techniques for the detection of the Phishing URLs like the blacklist approach, machine learning-based approach, visual features extraction, etc. These methods were popular, and some of these provide

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Wearable Technologies for Health: Investigating Behavioral Intention to Adopt Cloud-Based Smartwatcd on Technology Acceptance Model (TAM) and another construct that enhance the impact of our model to assess customers’ perception of Cloud-based smartwatch. A quantitative survey was used to gather data, which were then analyzed using PLS-SEM path model. The findings indicate that there are complex

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Subsurface Lithology Classification Using Well Log Data, an Application of Supervised Machine Learngy of the adjacent well with ~ 9000 well log data points, 70% of which are used for training and 30% for testing. Finally, the accuracy check using the F1-score is performed, showing 97 and 94% accuracy in subsurface lithology prediction for random forest and decision tree classifications, respectiv