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Class Imbalance Learning

  Abstract   Data classification task assigns labels to data points using a model that is learned from a collection of pre-labeled data points. The Class Imbalance Learning (CIL) problem is concerned with the performance of classification algorithms in the presence of under-represented data and severe class distribution skews. Due to the inherent

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The Engineering Skills Gap: A Golden Opportunity for Changing the Way We Approach Education

Imagine a student painstakingly studying the complete design, structure and functioning of a bicycle. The student further learns why, to be able to ride a bicycle, one needs to work its pedals continuously and, at the same time, maintain its balance. Yet when it comes to learning to ride one,

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Bringing Security to The Smallest Embedded Systems

Author   Joseph Yiu   How ARM® TrustZone® for ARMv8-M can bring hardware based security to low cost IoT devices   The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are

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Residue Number Systems

  Abstract     Residue Number systems have been extensively studied in past four decades in view of their advantages in some applications in Digital Signal Processing and Cryptography. In this tutorial paper, we introduce the basic concepts highlighting the advantages and disadvantages over other number systems.     Introduction   Digital computation and Digital signal processing need arithmetic processors

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