Abstract: Network-based anomaly detection plays a pivotal role in cybersecurity. Most detection models are based on unsupervised machine learning to learn such a normal flow pattern of network traffic ...

Abstract: While systematic radiometric errors can be mitigated through on-orbit calibration, correcting low-frequency, time-varying errors often induced by complex imaging dynamics remains a greater ...

The diagnostic procedure in neuromuscular patients is complex. Knowledge of the relative frequency of neuromuscular diseases within the investigated population is important to allow the neurologist to ...

At their turn, curves of the obtained monthly reference relative frequency distributions are presented in Figure 1, while integrals of those distributions are exhibited in Figure 2. The authors are ...

Forbes contributors publish independent expert analyses and insights. Dan Irvine is an investment manager covering market trends. When assessing investment opportunities, one crucial consideration is ...

MOSCOW, June 17 (Reuters) - Russian President Vladimir Putin sacked four deputy defence ministers on Monday and appointed a relative to fill one of the resulting vacancies. The reshuffle marked the ...

ABSTRACT: This study investigated the influence of early exposure to pornographic content on the emotional health of undergraduates of Adeleke and Redeemer’s Universities, Ede Osun State. It examines ...

Relative frequency is a valuable statistical tool that allows us to understand the proportion of an observation or category within a dataset. Whether you are analyzing survey responses, demographic ...

Relative frequency is essentially a statistical concept that reflects how often an event occurs as a proportion of the total number of observations or events in a given dataset. Calculating relative ...