Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...

Note that this implementation relies purely on the standard LibOPF. Therefore, if one uses our package, please also cite the original LibOPF authors. Have you ever wanted to classify data into labels?

Abstract: In recent years, commercial insurers have faced many cases of fraud in all types of claims. Fraud claims have been huge in amount and can cause serious problems. As a result, various ...

Abstract: In view of the poor classification effect of traditional random forest algorithm due to the low quality of text feature extraction, a random forest method for text information is proposed.

Loan lending plays an important role in our everyday life and powerfully promotes the growth of consumption and the economy. Loan default has been unavoidable, which carries a great risk and may even ...

Python has been steadily rising to become a top programming language. There are many reasons for this, including its extremely high efficiency when compared to other mainstream languages. It also ...

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...

Change point detection aims to identify structural breaks in the probability distribution of a time series. Existing methods either assume a parametric model for within-segment distributions or are ...