Results 31 to 40 of about 5,787,304 (258)

Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders

open access: yesIET Computers & Digital Techniques, 2021
In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for a given mean ...
Celia Dharmaraj   +2 more
doaj   +1 more source

MSE lower bounds for deterministic parameter estimation [PDF]

open access: yes, 2010
This paper presents a simple approach for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds.
Chaumette, Eric   +5 more
core  

Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for impulse models sorted by MSE in validation set.

open access: yes, 2023
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for impulse models sorted by MSE in validation set.
Tomasz Gutowski (17200042)   +2 more
core   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

Prediction of abrasive wear and surface hardness of printed parts by SLA technology

open access: yesIngenius: Revista de Ciencia y Tecnología
In the present study, a prediction of hardness deterioration and abrasive wear was performed through a neural network using artificial intelligence on a material printed in SLA. This article aims to predict the mechanical properties, wear resistance and
P. Muñoz-Valverde   +4 more
doaj   +3 more sources

Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant.
C. L. Karmaker
doaj   +1 more source

Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for individual models sorted by validation MSE.

open access: yes, 2023
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for individual models sorted by validation MSE.
Tomasz Gutowski (17200042)   +2 more
core   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park   +12 more
wiley   +1 more source

Modern techniques in variance estimation with auxiliary information: a logarithmic perspective

open access: yesArab Journal of Basic and Applied Sciences
Variance estimation is essential to statistical analysis because it sheds light on the accuracy and dependability of estimations. The effectiveness of traditional methods is frequently increased by using linear connections between the study and auxiliary
Poonam Singh   +3 more
doaj   +1 more source

Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for history models sorted by MSE in validation set.

open access: yes, 2023
Mean metrics values—Mean squared error (MSE), mean absolute error (MAE) and coefficient of determination (R2) for history models sorted by MSE in validation set.
Tomasz Gutowski (17200042)   +2 more
core   +1 more source

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