Sensor data reconstruction for dynamic responses of structures using external feedback of recurrent neural network

YS Shin, J Kim - Sensors, 2023 - mdpi.com
An event of sensor faults in sensor networks deployed in structures might result in the
degradation of the structural health monitoring system and lead to difficulties in structural …

Fast fault diagnosis in industrial embedded systems based on compressed sensing and deep kernel extreme learning machines

N Shan, X Xu, X Bao, S Qiu - Sensors, 2022 - mdpi.com
With the complexity and refinement of industrial systems, fast fault diagnosis is crucial to
ensuring the stable operation of industrial equipment. The main limitation of the current fault …

Indoor temperature and relative humidity dataset of controlled and uncontrolled environments

J Botero-Valencia, L Castano-Londono… - Data, 2022 - mdpi.com
The large volume of data generated with the increasing development of Internet of Things
applications has encouraged the development of a large number of works related to data …

Weighted Robust Tensor Principal Component Analysis for the Recovery of Complex Corrupted Data in a 5G-Enabled Internet of Things

HHP Vo, TM Nguyen, M Yoo - Applied Sciences, 2024 - mdpi.com
Technological developments coupled with socioeconomic changes are driving a rapid
transformation of the fifth-generation (5G) cellular network landscape. This evolution has led …

Signal Reconstruction Based on Time‐Varying Sliding Window in WSNs Using Compressed Sensing

A Zeynali, M Ali Tinati - International Journal of Communication …, 2025 - Wiley Online Library
This paper presents a new algorithm that utilizes compressed sensing (CS) for
reconstruction of wireless sensor networks (WSNs) data with spatial and temporal …

应用代谢组学技术预测啤酒发酵过程中的腐败菌.

郭永昊, 刘储睿, 孙珍 - Journal of Guangxi Normal …, 2023 - search.ebscohost.com
通过超高效液相四级杆飞行时间串联质谱(UPLC-Q-TOF-MS) 的非靶向质谱分析结合机器学习
的方法能够预测啤酒是否感染腐败菌. 在啤酒发酵过程中, 分别添加短乳杆菌Lactobacillus …

Exploring spatial patterns in sensor data for humidity, temperature, and RSSI measurements

J Botero-Valencia, A Martinez-Perez… - Data, 2023 - mdpi.com
The Internet of Things (IoT) is one of the fastest-growing research areas in recent years and
is strongly linked to the development of smart cities, smart homes, and factories. IoT can be …

A Low-Cost IoT Sensor for Indoor Monitoring with Prediction-Based Data Collection.

P Capellacci, L Calisti… - International Journal of …, 2024 - search.ebscohost.com
The proliferation of Internet of Things technologies has revolutionized the landscape of
indoor environmental monitoring, offering opportunities to enhance comfort, health, and …

Performance of matrix completion approaches for aquaponics data

R Shetty, S Alva, A Paul, P Sure - Journal of Ambient …, 2024 - content.iospress.com
Technological innovations in Internet of Things (IoT) have resulted in smart agricultural
solutions such as a remotely monitored Aquaponics system and a wireless sensor network …

Weighted Tensor Robust Principal Component Analysis to Reduce Noise in Wireless Sensor Networks

HHP Vo, M Yoo - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
This paper introduces a solution for reducing noise data in wireless sensor networks
employing a weighted tensor robust principal component analysis (WTRPCA) approach …