Search Results - automated data processing series

Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning by José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, ProCAncer-I

“…Finally, we delineate heuristics to assist researchers in series classification for PCa mpMRI datasets. Conclusions Automatic series-type identification is feasible and can enable automated data curation. …”
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Hybrid Prediction Model of Burn-Through Point Temperature with Color Temperature Information from Cross-Sectional Frame at Discharge End by Mengxin Zhao, Yinghua Fan, Jing Ge, Xinzhe Hao, Caili Wu, Xian Ma, Sheng Du

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A Deep Learning Method for Automatic Coronal Mass Ejection Feature Identification by P. Yang, H. S. Fu, J. B. Cao, F. Shen

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Progress in the integration of ChatGPT in Higher Education: an examination of applications, advantages, and challenges by Leopoldo Vinicio Venegas Loor, Paola v Moreira Aguayo, Alberto Rodríguez Rodríguez

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Asteroseismic Characterization of 142 Solar-like Oscillators Hosting Confirmed Exoplanets by Wen-Xu Lin, Sheng-Bang Qian, Li-Ying Zhu, Fu-Xing Li, Qi-bin Sun, Wen-Ping Liao, Ping Li, Xiang-Dong Shi, Ting Li

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Population potential on catchment area (PPCA): A Python-based tool for worldwide geospatial population analysis by Joan Perez, Giovanni Fusco

“…Through a series of four automated steps, the protocol cleans, processes, and classifies geospatial data, ultimately yielding refined population estimations within defined catchment regions. …”
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Improvement of the chemotherapy and pharmaceutical service management system by monitoring drug prescription errors in oncology patients by Ye.V. Zalyhina, Ya.S. Bereznytskyi

“…During the research, an analysis of scientific publications and a retrospective analysis (examination of internal documents) were carried out, followed by generalization and comparison of data. Statistical processing of the results was carried out using the method of interval dynamic series analysis. …”
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Cotton Crop Classification using Optical and Microwave Remote Sensing Datasets in Google Earth Engine by B. Meerasha, M. Sagayam

“…Furthermore, spectral, structural and phenological feature time-series satellite data were merged and processed into a supervised random forest classifier. …”
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Modern risk assessment of the influences of natural and military man-made factors on the state of the historical buildings of the Kyiv-Pechersk Lavra by Т.В. Криль, І.А. Черевко, С.В. Щербина, Олег Чалий

“…The article also presents the results of modern automated data processing using various methods ― from the spectral method of signal recognition to the modern autopicker method of determining the time of arrival of waves AIC, which allows you to clearly determine the arrival time of vibration waves of various origins ― from the formation of cracks in historical buildings of the Kyiv-Pechersk Lavra to vibration waves of technical and natural origin. …”
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Learning Intelligent for Effective Sonography (LIFES) Model for Rapid Diagnosis of Heart Failure in Echocardiography by Lies Dina Liastuti, Bambang Budi Siswanto, Renan Sukmawan, Wisnu Jatmiko, Idrus Alwi, Budi Wiweko, Aria Kekalih, Yosilia Nursakina, Rindayu Yusticia Indira Putri, Grafika Jati, Mgs M Luthfi Ramadhan, Ericko Govardi, Aqsha Azhary Nur

“…Methods: A cross-sectional diagnostic test was conducted using consecutive sampling of HF and normal patients’ echocardiography data. The gold-standard comparison was HF diagnosis established by expert cardiologists based on clinical data and echocardiography. …”
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Experiments on the application of the infrasound method of remote monitoring of snow avalanches in the Khibiny Mountains by A. V. Fedorov, I. S. Fedorov, V. E. Asming, A. Yu. Motorin

“…To begin this process, it is necessary to create a remote all-weather automated avalanche monitoring system. …”
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Enhancing Fabric Detection and Classification Using YOLOv5 Models by Makara Mao, Jun Ma, Ahyoung Lee, Min Hong

“…We conducted a dataset preparation process, including data collection, annotation, and training procedures for data augmentation to improve model generalization. …”
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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing by Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang

“…The strain data was collected using a borehole-based automated distributed fiber-optic sensing system. …”
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Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm by Mokhaled N. A. Al-Hamadani, Richard Poroszlay, Gabor Szeman-Nagy, Andras Hajdu, Stathis Hadjidemetriou, Luca Ferrarini, Balazs Harangi

“…Effective detection and tracking are crucial for understanding biological processes and extracting meaningful data for subsequent simulations. …”
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Lightweight deep learning model with ResNet14 and spatial attention for anterior cruciate ligament diagnosis by Herman Herman, Yogan Jaya Kumar, Sek Yong Wee, Vinod Kumar Perhakaran

“…The model processes knee MRI scans using a ResNet architecture, comprising a series of residual blocks and a spatial attention mechanism, to focus on the essential features in the imaging data. …”
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Information and measuring system for geometric and motion parameters determination of industrial products by their video images by Yurii Podchashynskyi, Oksana Luhovykh, Anna Polianska, Volodymyr Nevmerzhytskyi

“…The article presents the information and measuring system for geometric and motion parameters determination of industrial products, for example, at a stone processing or machine-building enterprise. The proposed system allows automating measuring geometric parameters and quality control processes. …”
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…The Manufacturing Message Specification (MMS) protocol is frequently used to automate processes in IEC 61850-based substations and smart-grid systems. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

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Generator Portofolio Pengajaran Dosen Berbasis Web by Muhammad Derry Salman Syahid, Heru Nugroho, Siska Komala Sari

“…This will limit the teaching quality improvement process in the next academic year. Therefore, automation tools are needed that can create an application that is able to generate the data components needed in the preparation of the portfolio. …”
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Global Trends and Directions of Development of Industrial Robots by A. E. Varshavsky, V. V. Dubinina

“….); analysis of indicators and problems of using industrial robots in Russia.Methods: the research methodology consists in a comparative analysis of the use of industrial robots in different industries (automotive, food, chemical, electronic, etc.) based on statistical data by country. A systematic approach, tabular and graphical interpretation of information was applied, analysis of the dynamics of the levels of the time series, the calculation of growth indices of indicators.Results: the analysis showed that the use of industrial robots reduces injuries at the workplace, production costs and improves the quality of the final product, productivity, flexibility and safety, which contributes to a significant increase in their use in both developed and developing countries.Conclusions and Relevance: recently, robotization has become available even in non-industrial countries. …”
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