Papers Capacity Estimation
“Capacity Estimation” 태그가 달린 논문 33편 · 필터 해제
Discriminative Mutual Information Estimators for Channel Capacity Learning
Channel capacity plays a crucial role in the development of modern communication systems as it represents the maximum rate at which information can be reliably transmitted over a communication channel. Nevertheless, for …
Capacity EstimationImpedance-based Capacity Estimation for Lithium-Ion Batteries Using Generative Adversarial Network
This paper proposes a fully unsupervised methodology for the reliable extraction of latent variables representing the characteristics of lithium-ion batteries (LIBs) from electrochemical impedance spectroscopy (EIS) data…
Capacity EstimationGenerative Adversarial NetworkCharacterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
Nowadays, Neural Networks represent a major expectation for the realization of powerful Deep Learning algorithms, which can determine several physical systems' behaviors and operations. Computational resources required f…
Capacity EstimationIntrusion DetectionMachine Learning based Soil VWC and Field Capacity Estimation Using Low Cost Sensors
The amount of water present in soil is measured in terms of a parameter commonly referred to as Volumetric Water Content (VWC) and is used for determining the field capacity of any soil. It is an important parameter acco…
BIG-bench Machine LearningCapacity EstimationAn Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
While photovoltaic (PV) systems are installed at an unprecedented rate, reliable information on an installation level remains scarce. As a result, automatically created PV registries are a timely contribution to optimize…
Capacity EstimationTop-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers
Human-robot object handover is a key skill for the future of human-robot collaboration. CORSMAL 2020 Challenge focuses on the perception part of this problem: the robot needs to estimate the filling mass of a container h…
Capacity EstimationFilling Level EstimationFilling Mass EstimationFilling Type EstimationOn-line Capacity Estimation for Lithium-ion Battery Cells via an Electrochemical Model-based Adaptive Interconnected Observer
Battery aging is a natural process that contributes to capacity and power fade, resulting in a gradual performance degradation over time and usage. State of Charge (SOC) and State of Health (SOH) monitoring of an aging b…
Capacity EstimationManagementReal-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination
Aggregators have emerged as crucial tools for the coordination of distributed, controllable loads. However, to be used effectively, aggregators must be able to communicate the available flexibility of the loads they cont…
Capacity EstimationCapacity of Continuous Channels with Memory via Directed Information Neural Estimator
Calculating the capacity (with or without feedback) of channels with memory and continuous alphabets is a challenging task. It requires optimizing the directed information (DI) rate over all channel input distributions. …
Capacity EstimationDeep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zones
Many post-disaster and -conflict regions do not have sufficient data on their transportation infrastructure assets, hindering both mobility and reconstruction. In particular, as the number of aging and deteriorating brid…
Binary ClassificationCapacity EstimationGeneral ClassificationOPEM (Open Source PEM Fuel Cell Simulation Tool)
Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the research & development of renewable energy sources. The Open-Source PEMFC Simulation Tool (OPEM) is a modeling too…
Capacity EstimationDensity EstimationA Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Computer-aided diagnosis (CAD) techniques for lung field segmentation from chest radiographs (CXR) have been proposed for adult cohorts, but rarely for pediatric subjects. Statistical shape models (SSMs), the workhorse o…
Capacity EstimationObject Localizationparameter estimationRepresentation Learning+1Dynamic Capacity Estimation in Hopfield Networks
Understanding the memory capacity of neural networks remains a challenging problem in implementing artificial intelligence systems. In this paper, we address the notion of capacity with respect to Hopfield networks and p…
Capacity Estimation