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Earned Value Method (EVM) for Construction Projects: Current Application and Future Projections
The earned value method (EVM) is an internationally known technique for project management that emphasizes the control of project cost performance and duration, thus allowing trends to be identified during execution and warning the project manager of ...
Marco Avila Calle +2 more
exaly +3 more sources
Radio frequency interface quality assessment in 4G/5G: Effects of IQ imbalance, phase noise, and nonlinearities on error vector magnitude. [PDF]
Modern 4G/5G technologies aim to enhance data speeds, improve communication quality, and enable innovative services such as IoT and augmented reality.
Ilya Pyatin +3 more
doaj +2 more sources
MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring
Automated tasks, mainly in the biomedical field, help to develop new technics to provide faster solutions for monitoring patients’ health status. For instance, they help to measure different types of human bio-signal, perform fast data analysis, and ...
Abdallah Benhamida, Miklos Kozlovszky
doaj +3 more sources
We study the competition between blockchains in a \emph{multi-chain} environment, where a dominant EVM-compatible blockchain (e.g., Ethereum) co-exists with an alternative EVM-compatible (e.g., Avalanche) and an EVM-incompatible (e.g., Algorand) blockchain.
Ruizhe Jia, Steven Yin
openaire +2 more sources
General Voting System for Democratic Countries Using Blockchain and Computer Technology
Secret voting in democratic countries using computational intelligence and Blockchain Technology, the vote is a fundamental right in democracy to elect people’s representatives at various levels. Manual voting is tedious and error prone. E-voting systems
Vandanababu Talakayala +2 more
doaj +1 more source
Abstract Background and objectives Universities throughout the USA increasingly offer undergraduate courses in evolutionary medicine (EvMed), which creates a need for pedagogical resources. Several resources offer course content (e.g. textbooks) and a previous study identified EvMed core principles to
Taya Misheva +3 more
openaire +1 more source
Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Yuchuan Fan +11 more
doaj +1 more source
Error vector magnitude (EVM) and out-of-band emissions are key metrics for evaluating in-band and out-band distortions introduced by all potential non-idealities in the transmitters of wireless systems. As EVM is a measure of the quality of the modulated
Angela Hernandez-Solana +5 more
doaj +1 more source
Interpretive structural modeling in Earned Value Management
The primary purpose of the current study is introducing a comprehensive approach to identify the relationship among different criteria in Earned Value Management (EVM).
Morteza Bagherpour +3 more
doaj +1 more source
EVM Prediction for Massive MIMO [PDF]
Signal to interference plus noise ratio (SINR) is a widely common performance metric used in the majority of massive multiple-input, multiple-output (Ma-MIMO) research. This metric requires prior knowledge of the user channel vectors and the interference caused by inaccurate channel state information (CSI).
Wael Boukley Hasan +3 more
openaire +3 more sources

