Adaptive neuro fuzzy inference system-based power estimation method for CMOS VLSI circuits
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electronics"
DOI: 10.1080/00207217.2017.1357763
Abstract: ABSTRACT Recent advancements in very large scale integration (VLSI) technologies have made it feasible to integrate millions of transistors on a single chip. This greatly increases the circuit complexity and hence there is a growing… read more here.
Keywords: power estimation; neuro fuzzy; adaptive neuro; power ... See more keywords
Robust Adaptive Beamforming via Simplified Interference Power Estimation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2019.2899796
Abstract: Adaptive beamformer is very sensitive to model mismatch, especially when the signal-of-interest is present in the training data. In this paper, we focus on the topic of robust adaptive beamforming (RAB) based on interference-plus-noise covariance… read more here.
Keywords: adaptive beamforming; interference power; interference; power estimation ... See more keywords
Power Estimation for Indoor Light Energy Harvesting Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.2984145
Abstract: The growing interest in indoor light energy harvesting for wireless sensor systems and low-power electronics has created a demand for systematic design methods that optimize the system implementation and component choices for different lighting scenarios.… read more here.
Keywords: indoor light; power; light energy; power estimation ... See more keywords
On-chip based power estimation for CMOS VLSI circuits using support vector machine
Sign Up to like & getrecommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v35.i2.pp804-811
Abstract: Power estimation has a major impact on the reliability of very-large-scale integration (VLSI) circuits. As a results power estimation is highly needed in VLSI circuits at the early stages. One of the evident challenges in… read more here.
Keywords: vlsi circuits; power estimation; power; chip ... See more keywords
Pre-Filtering SCADA Data for Enhanced Machine Learning-Based Multivariate Power Estimation in Wind Turbines
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13030410
Abstract: Data generated during the shutdown or start-up processes of wind turbines, particularly in complex wind conditions such as offshore environments, often accumulate in the low-wind-speed region, leading to reduced multivariate power estimation accuracy. Therefore, developing… read more here.
Keywords: scada data; wind turbines; power estimation; power ... See more keywords
Model-implied simulation-based power estimation for correctly specified and distributionally misspecified models: Applications to nonlinear and linear structural equation models
Sign Up to like & getrecommendations! Published in 2024 at "Behavior Research Methods"
DOI: 10.3758/s13428-024-02507-z
Abstract: Closed-form (asymptotic) analytical power estimation is only available for limited classes of models, requiring correct model specification for most applications. Simulation-based power estimation can be applied in almost all scenarios where data following the model… read more here.
Keywords: based power; power estimation; power; simulation based ... See more keywords