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We present a method for finding exact solutions of large-scale linearly constrained binary quadratic programming problems. Our exact solution method combines parallelization …

Article "BTCAN: A Binary Trend-Aware Network for Industrial Edge Intelligence and Application in Aero-Engine RUL Prediction" Detailed information of the J-GLOBAL is an information service …

BTCAN: A Binary Trend-Aware Network for Industrial Edge Intelligence and Application in Aero-Engine RUL Prediction Ren, Lei ; Li, Shixiang ; Laili, Yuanjun ; Zhang, Lin Publication: IEEE …

In this paper we show discrepancy between knowledge within the same grades for candidates at Basic and Higher Level of Achievement on an example of a Mathematics exam from General …

A probabilistic Bayesian Temporal Convolutional Transformer-based fault prognostic framework is developed to RUL prediction and is integrated into the Bayesian deep learning (BDL) to learn …

The thesis explores the economic approach to the performing arts, focusing on the relationship between economics and theatre. It examines the communication gap between economists and …

Oct 1, 2022 · A probabilistic Bayesian Temporal Convolutional Transformer-based fault prognostic framework is developed to RUL prediction and is integrated into the Bayesian deep learning …

Script based boggle. Contribute to sonofwau/ScriptBoggle development by creating an account on GitHub.

6 days ago · This review paper provides a thorough review of the current state of knowledge and technology in noise and vibration research within the transport sector, with a particular focus …

Build a complete Remaining Useful Life (RUL) estimation algorithm from preprocessing, selecting trendable features, constructing health indicator by sensor fusion, training similarity RUL …

Jan 1, 2025 · RUL is calculated by integrating the outputs from the Long Short-Term Memory (LSTM) models using the XGBoost. Optimal HIs subset for calculating RUL is selected through …

Mar 5, 2020 · This paper obtains some characterizations for the ordinal sum in the sense of Ertu\v {g}rul and Ye\c {s}ilyurt of two binary operations (not necessarily $t$-norms) being increasing …

Oct 24, 2024 · This article proposes a novel RUL prediction based on data pre-processing methods and the CNN-LSTM-ASAN framework. The model is based on a fusion technique for …

Dec 9, 2024 · This method integrates the VAE framework with regression networks and utilizes DA techniques to align feature spaces, achieving cross-domain RUL prediction with unlabeled …

Jan 30, 2021 · An important concern in predictive maintenance is the prediction of remaining useful life (RUL), which is an estimate of the number of remaining years that a component in a …

Jun 12, 2023 · Experimental results demonstrate that the proposed hybrid prediction method exhibits high precision in the predicting future capacity and RUL of lithium-ion batteries, along …

Jan 10, 2025 · This paper presents a model that combines correlation analysis feature extraction with a Graph Neural Network (GNN)-based approach for bearing degradation stage …

For similarity models, predictRUL estimates the RUL of the test component as the median life span of most similar components minus the current lifetime value of the test component.

Question: Rectangular binary masks. (a) * Write a function m = mask4e (M,N,rUL,CUL,LR, CLR) for creating a binary mask of size MXN with l's in the rectangular region defined by upper-left …