Abstract: In this paper, network intrusion detection is proposed using an improved version of the support vector machine model to detect DoS attacks. Here, the SVM model considers the weight parameter ...

When Valve announced its upcoming Steam Machine hardware last month, some eagle-eyed gamers may have been surprised to see that the official spec sheet lists support for HDMI 2.0 output, rather than ...

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...

I am using Azure Agent Framework with multiple agents in a shared workflow: A PDF agent attempts to answer using a PDF. If it cannot, it returns plain text "out_of_topic" A Router agent correctly ...

Excitement abounds for Valve's quirky cuboid, Steam Machine. But the console-PC hybrid sounds awfully a lot like what Microsoft is hoping to accomplish with its next-generation hardware. Even in an ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

THE ELDER OFFUTT WAS ARRESTED WEEKS LATER. THE DEPARTMENT OF JUSTICE CALLS IT AN EMERGING THREAT. MACHINE GUN CONVERSION DEVICES. WLKY MADISON ELLIOTT WAS IN FRANKFORT TODAY, AS LOUISVILLE’S POLICE ...

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...

It's not just Intel code — after a period of undeath, Time Capsule's time is coming, with Apple cutting off support for Time Machine backups using the hardware in macOS 27. Time Capsules, Apple's long ...

When macOS 27 arrives in 2027, it will end support for Intel Macs. Not only will you need a Mac with Apple Silicon when it arrives, there are other things to be noted as well. As noticed by ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.