IEEE

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

Abstract: The increasing prevalence of chronic non-communicable diseases makes it a priority to develop tools for enhancing their management. On this matter, Artificial Intelligence algorithms have ...
IEEE

The Role of Employees in Digital Transformation: A Preliminary Study on How Employees’ Digital Literacy Impacts Use of Digital Technologies

Abstract: Even though digital technologies such as cloud technologies are prevalent in transforming businesses, the role of employees and their digital skills in the process is, to a large extent, ...
IEEE

754-2019 - IEEE Standard for Floating-Point Arithmetic

Abstract: This standard specifies interchange and arithmetic formats and methods for binary and decimal floating-point arithmetic in computer programming environments. This standard specifies ...
IEEE

Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic

Abstract: In practice, an increased interest into end-to-end visibility as a future-oriented driver and capability of resilient supply chains can be observed. However, the research in this area is in ...
IEEE

A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles

Abstract: In this paper, a new battery/ultracapacitor hybrid energy storage system (HESS) is proposed for electric drive vehicles including electric, hybrid electric, and plug-in hybrid electric ...
IEEE

Evaluating the Success of a Project and the Performance of Its Leaders

Abstract: Although organizations regularly execute projects to improve their performance, there is still no agreement in the literature on how to evaluate their eventual success. As a result, scholars ...
IEEE

Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal

Abstract: We introduce a deep network architecture called DerainNet for removing rain streaks from an image. Based on the deep convolutional neural network (CNN), we directly learn the mapping ...
IEEE

A Deep Learning Approach to Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDSs) play a crucial role in defending computer networks. However, there are concerns regarding the feasibility and sustainability of current approaches ...
IEEE

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

Abstract: With the broader and highly successful usage of machine learning (ML) in industry and the sciences, there has been a growing demand for explainable artificial intelligence (XAI).
IEEE

1364-2001 - IEEE Standard Verilog Hardware Description Language

Abstract: Supersedes 1364-1995. The Verilog(R) Hardware Description Language (HDL) is defined in this standard. Verilog HDL is a formal notation intended for use in all phases of the creation of ...
IEEE

Data-Driven Model Predictive Control for Redundant Manipulators With Unknown Model

Abstract: The tracking control of redundant manipulators plays a crucial role in robotics research and generally requires accurate knowledge of models of redundant manipulators. When the model ...
IEEE

Unified Power Quality Conditioners Based Different Structural Arrangements: A Comprehensive Review

Abstract: Mitigating power quality issues in distribution systems is of utmost importance to both electricity consumers and suppliers as it improves the distribution system’s efficiency, reduces ...