A smart system for short-term price prediction using time series models

HV Nguyen, MA Naeem, N Wichitaksorn… - Computers & Electrical …, 2019 - Elsevier
The primary goal of this paper is to develop a smart system for short-term price prediction for
various products using time series models. The system includes a series of processes, eg …

Transformer neural network to predict and interpret pregnancy loss from activity data in Holstein dairy cows

D Lin, Á Kenéz, JAA McArt, J Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Predicting/detecting pregnancy loss of dairy cows offers the opportunity to shorten the time
interval between artificial inseminations. Although several methods of pregnancy detection …

Semi-global Fixed-time State Estimation and unknown Input Reconstruction via First-order Sliding Mode observers with Delay

A Pilloni, A Pisano, E Usai - IEEE Transactions on Automatic …, 2024 - ieeexplore.ieee.org
This paper addresses the state estimation and unknown input reconstruction in strongly
observable linear systems under the so-called matching conditions. Our proposal extends …

[HTML][HTML] Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock

M Nati, C Despina-Stoian, D Nastasiu, D Stanescu… - Sensors, 2024 - mdpi.com
In modern industries, pipelines play a crucial role, both as an essential element in energy
transportation (water, gas and electricity) and also in the distribution of these resources. The …

Supervised retinal vessel segmentation based average filter and iterative self organizing data analysis technique

Erwin, HR Damayanti - International Journal of Computational …, 2021 - World Scientific
Retinal fundus is the inner surface of the eye associated with the lens. The identification of
disease needs some parts of retinal fundus, such as blood vessel. Blood vessels are part of …

Nonlocal Noise Removal Technique to Improve the Electromagnetic Field Pattern in Near-Field Scanning of a Device

Q Huang, Y Wu, J Ruan, Y Gao, W Fang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
A nonlocal noise removal technique, known as block-matching 3-D (BM3D), is introduced to
improve the quality of a blurry electromagnetic pattern generated from near field of a device …

Efficiency Analysis of Filter-Based Calibration Technique to Improve Tunnel Measurement Reliability

SI Choi, S Shim, SM Kong, YB Kim, SW Lee - KSCE Journal of Civil …, 2022 - Springer
Instrumentation during tunnel construction can be used as reference data to identify
anomalies, find the causes, and develop countermeasures through data trend analysis in …

Contrasting Convolutional Neural Networks with alternative architectures for transformation invariance

C Mouton - 2021 - repository.nwu.ac.za
Abstract Convolutional Neural Networks (CNNs) have become the standard for image
classification tasks, however, they are not completely invariant to transformations of the input …

Lost measurement sensor data estimation technology based on trend analysis of adjacent sensors using Boussinesq equation

SI Choi, S Shim, SM Kong, SW Lee - Journal of Korean Tunnelling …, 2021 - koreascience.kr
Most of measurement sensors used for maintenance are continuously exposed to various
environmental factors such as transportation and rainfall, so the possibility of breakage …

[PDF][PDF] IASO: Metodología para la definición y fortalecimiento de líneas de investigación Yuber Liliana Rodríguez-Rojas1 Ana María Luque-Clavijo2 Harold Hernández …

JAR Clavijo - DESARROLLO E INNOVACIÓN EN INGENIERÍA, 2020 - dialnet.unirioja.es
2. MÉTODO Esta metodología partió de la definición de las 5 acciones para la toma de
decisiones en Investigación, Desarrollo e Innovación I+ D+ i fundamentadas en 35 artículos …