是否加入 Combined with support vector machine (SVM) algorithm, several common approaches to deal with the unbalanced problem were compared, including majority voting, the moving boundary surface, etc., ...

rán ér zài yī cì cān guān “ jīn tóu kuī ” dà sài hòu de tā bèi kōng jūn fēi xíng yuán de shí lì yǔ mèi lì suǒ zhé fú ， wèi cǐ ...

2016 nián ， píng jiè xiǎo shuō 《 sù shí zhě 》， huò dé bù kè guó jì wén xué jiǎng ， chéng wéi shǒu wèi huò dé gāi jiǎng de yà ...

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

In order to improve the detection rate and reduce the training time, KFDA-SVM intrusion detection technology is proposed ...

The popularity of cryptocurrencies has led to the growth of browser extensions, including malicious ones that cause financial ...

DenseWolf-K, a hybrid AI framework, achieved 99.64% accuracy in brain tumour MRI classification, revolutionising medical ...

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...