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"A Cost-Sensitive Machine Learning Model With Multitask Learning for In" by Akbar Telikani, Nima Esmi Rudbardeh et al.

A problem with machine learning (ML) techniques for detecting intrusions in the Internet of Things (IoT) is that they are ineffective in the detection of low-frequency intrusions. In addition, as ML models are trained using specific attack categories, they cannot recognize unknown attacks. This article integrates strategies of cost-sensitive learning and multitask learning into a hybrid ML model to address these two challenges. The hybrid model consists of an autoencoder for feature extraction a...
Eep Learning Dl Nternet Of Things Internet Of Things Iot Intrusion Detection Mathematical Models Ultitask Learning
Source: uow.edu.au

Exploring the Evolution of the Finance Industry Before Technological Advancements

Have you ever wondered how the world of finance operated in an era before the digital revolution? How did financial institutions manage their transactions, assess risk, and communicate crucial information without the aid of today's technology?Prior to the invention of technology, the financial industry relied heavily on manual labor, paper-based record-keeping, and face-to-face interactions. In
South Sea Brunei General United States Human Error Role Of Bank Branches Access To Information

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