Real-Time Driver Sleepiness Detection and Classification Using Fusion Deep Learning Algorithm

Longevity Recommendation for Root Canal Treatment Using Machine Learning

“…This variable i Data acquisition: This study used a dataset containing 332 instances of root canal therapy. This information was used as an input to the system in order to identify the cause and factors involved in root canal treatment failure [22]. The dataset includes various variables or features for each instance, and here are some specific details about these variables and their significance in terms of predicting treatment failure:…”

“…Following feature extraction and normalization, the data pertaining to root canal therapy were used to train machine learning models like SVM, NB, and LR. The factors of the ideal RCT [21][22][23] or its failures can then be identified by comparing the test data to the training data system. In this scenario, we employed 10-fold cross-validation to ensure that our fitting technique was accurate.…”

Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

“…AI algorithms [13] can use various data sources such as biometric data, government databases-UIDAI, and other sources to verify the customer's identity. This system can also use machine learning algorithms to identify potential fraud or suspicious activity [14]. The success of the solution can be measured based on the following criteria [15]: i.…”