Search Results - automated data processing series

Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing by Roman Fedoryshyn, Vasyl Lymych, Volodymyr Zagraj, Oleh Masniak

“…This paper presents a technique for defining the optimal parameters of a moving window when processing the signal of a vibration accelerometer installed on a ball drum mill as part of the automation system. …”
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RTide: Automating the Tidal Response Method by Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock

“…Moreover, specialized approaches impose problem‐specific functional forms and rely on auxiliary data, limiting their applicability across different nonstationary tidal processes. …”
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Automated remote sensing monitoring of cropland non-agricultural and non-grain conversion at parcel scale in complex environments through multi-source data fusion by Junyao Zhang, Xiaomei Yang, Jianwang Dai, Xiaofan Wang, Zheng Fang, Xiaoliang Liu, Xiaowei Zeng, Zhihua Wang

“…We aim to develop an automated process framework that accurately extracts parcel boundaries and identifies multiple types of changes. …”
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Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear by Izaak Stanton, Kamran Munir, Ahsan Ikram, Murad El‐Bakry

“…By integrating greater automation, AutoML can exploit more of the available data and deskill the development process to enable non‐data scientists to produce health monitoring models for a more diverse pool of aircraft components.…”
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Quality Metrics of Automated Machinery in Potato Plant Cultivation for Breeding and Seed Production by N. V. Sazonov, M. A. Mosyakov, V. S. Teterin, N. S. Panferov, M. M. Godyaeva, M. S. Trunov

“…Consequently, there is a need to undertake a series of initiatives aimed at developing a digital system for automated detection and recognition of both healthy and infected plants. …”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…A key innovation lies in removing noise-containing intrinsic mode functions (IMFs) via EMD to ensure clean signal input to the LSTM model. Utilizing production data from a Shanxi coal plant, EMD decomposes ash content time series into intrinsic mode functions (IMFs) and residuals. …”
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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING by Vladimir Yu. Volkov, Oleg A. Markelov, Mikhail I. Bogachev

“…Introduction. In order to automate data processing in remote observation systems using television and infrared cameras, synthetic aperture panoramic radars, as well as laser and acoustic systems, it is essential to be able to reliably detect, isolate, select and localise objects of various shapes in images. …”
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NEURAL NETWORK FORECASTING OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE by Anna Bakurova, Olesia Yuskiv, Dima Shyrokorad, Anton Riabenko, Elina Tereschenko

“…The following tasks have been solved: analysis of the time series of power consumption; building a model with the help of which data on electricity consumption for a historical period is processed; building the most accurate forecast of the actual amount of electricity for the day ahead; assessment of the forecast quality. …”
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RECURRENT ANALYSIS OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE by Anna Bakurova, Iryna Divocha, Kiyko Sergiy, Olesia Yuskiv

“… The subject of the study is the study of models and methods for short-term forecasting of energy consumption in power systems based on recurrent analysis of time series. The aim of the work is a recurrent analysis of the time series of energy consumption of a metallurgical enterprise and the development of a program in the Matlab environment for automating calculations and experimental testing of data available for research in PJSC Electrometallurgical Plant "Dniprospetsstal" named after A. …”
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Natural Language Processing untuk Otomatisasi Pengenalan Pronomina dalam Kalimat Bahasa Indonesia by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…The proposed method has 4 stages, namely data collection, rule generation, automation of pronoun recognition and the last is evaluation. …”
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Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations by Fabio Frazao, Ruth Joy, Michael Dowd

“…Passive acoustic monitoring of marine mammal vocalizations often relies on automated detectors to process large quantities of data. …”
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SIGNS OF AN UPCOMING SEISMIC EVENT ON THE BISHKEK GEODYNAMIC TEST AREA ACCORDING TO THE TRANSIENT ELECTROMAGNETIC MONITORING DATA by D. M. Evmenova, Yu. A. Dashevsky, I. N. Yeltsov, A. K. Rybin, S. A. Imashev

“…However, on April 18–20, 2017, all indicators showed the distinct temporally synchronized anomalies, which can be considered as precursors of the Kegety earthquake swarm whose main shock was recorded on April 21, 2017.The paper substantiates the possibility of using the above-mentioned indicators for medium-term prediction of seismic events. In order to automate the processing of the time series, it is proposed to create a digital platform to analyze a long-term array of electromagnetic monitoring data from all observation points.This paper starts a series of publications on the diffusion kinematics of non-stationary sounding in relation to the problems of electromagnetic monitoring of seismotectonic processes.…”
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Dynamic Feature Extraction and Semi-Supervised Soft Sensor Model Based on SCINet for Industrial and Transportation Processes by Jun Wang, Changjian Qi, Xing Luo, Shihao Deng, Qi Lei

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Optimalisasi Presensi Sekolah Berbasis QR Code dengan Metode Rapid Application Development by Eva Rahmawati, Herlambang Brawijaya, Doni Andriansyah, Elly Mufida

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Long-term Solar and Wind Energy Forecasting Using Gaussian Processes with Tree-based Multiple Kernel Search by James David Abiog, Vina Cielo Clarisse Cacal, Kenn Cadiz, Karl Ezra Pilario

“…The main objective is to automate the search for the best kernel combination in the well-known Gaussian process model using a tree structure of base kernels such as linear, periodic, squared exponential, and rational quadratic functions. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
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Enhancing Generalization in Phishing URL Detection via a Fine-Tuned BERT-Based Multimodal Approach by Yi Wei, Masaya Nakayama, Yuji Sekiya

“…More recent efforts have shifted toward fully automated, featureless strategies using deep learning in an end-to-end manner. …”
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Stone Detection on Agricultural Land Using Thermal Imagery from Unmanned Aerial Systems by Florian Thürkow, Mike Teucher, Detlef Thürkow, Milena Mohri

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Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

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