The invention relates to a method for detecting the content of a component in an unknown object on line. The method comprises the following steps of: breaking a trace amount of detected objects down and generat
Finally, SyncPerf provides two tools that help diagnose root causes of performance bugs. The first one is a detection tool that can report susceptible callsites and synchronization variables with potential performance issues, and identify some root causes such as asymmetric contention and load imbalance...
Flank wear is the most common wear that happens in the end milling process. However, the process of detecting the flank wear is cumbersome. To achieve comprehensively automatic detecting the flank wear area of the spiral end milling cutter, this study proposed a novel flank wear detection method...
The vulnerability stems from a flaw in howOkta Classicprocesses authentication requests from non-standard user-agents. When a request came from a user-agent that Okta classifies as "unknown" (such as Python scripts or uncommon browsers), the system failed to properly enforce ap...
4.1 Hardware malware detection Hardware malware detection in machine learning refers to the use of machine learning algorithms to detect malicious behavior in hardware devices such as computers, smartphones, and IoT devices. This involves analyzing various hardware metrics, such as power consumption, clo...
The quantization of gravity is widely believed to result in gravitons – particles of discrete energy that form gravitational waves. But their detection has so far been considered impossible. Here we show that signatures of single graviton exchange can b
For example, finding abnormal behaviors in frac pumps can lead to preventative maintenance which could potentially lead to a longer life span for frac equipment. Anomalous activity detection can also be used in the IT industry to detect intruders into networks. Now that some of the use cases ...
Fig. 1: Overview of semantic entropy and confabulation detection. a, Naive entropy-based uncertainty measures variation in the exact answers, treating ‘Paris’, ‘It’s Paris’ and ‘France’s capital Paris’ as different. But this is unsuitable for language tasks for which sometimes different ...
In recent years, the detection of mobile botnets is challanging for researchers because of feature representations, extraction or by dissembling the program codes through the static [6,7] and dynamic analysis [8]. To solve this issue, we present an image-based approach through visualization ...
Systems and methods of the present invention provide for detecting and mitigating abuse of unsolicited email or “spam.” An administrator may select one or more contacts from a list of contacts to opt in to receive an email distribution. An abuse detection software may then determine for each ...