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A novel approach to analyzing the evolution of SARS-CoV-2 based on visualization and clustering of large genetic data compactly represented in operative memory
Published 2025-01-01“…We suggest an approach to data representation and organization, with which all this can be stored losslessly in the operative memory (RAM) of a common PC. …”
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Development of data sharing and analysis software for un-wheeling repair of urban rail transit
Published 2024-09-01“…In order to improve the data sharing for un-wheeling repair of subway vehicles in networked operation settings towards a scientific and systematic system, alleviate the work intensity in the design process, and improve work efficiency, this paper presents the development of data sharing and analysis software for urban rail transit, based on various characteristic data involving the aspects such as vehicle base, vehicle operation, vehicle maintenance systems, and un-wheeling repair requirements, using the object-oriented Java programming language. …”
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104
Efficient design of automated guided vehicle systems in operating theatres via discrete events simulation
Published 2025-07-01“…To determine the most efficient design of the AGV system in OTs, relative efficiency across design alternatives were evaluated with the super-efficiency data envelopment analysis (S-DEA). This approach yielded a composite efficiency score that reflects multiple, often conflicting, design objectives. …”
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105
Integrated Linkage Analysis System for Locomotive Operation Information
Published 2018-01-01“…Aiming at the problems of current locomotive operation information decentralization and independence, different information standards of the same kind, various analysis software, independent analysis posts, backward audio and video information storage and analysis methods and low analysis efficiency, the design scheme of integrated linkage analysis system was put forward, which integrated all kinds of monitoring data and carried out standardized processing; A comprehensive analysis platform was established, which integrated LKJ, audio and video, TCMS, 6A monitoring data and other data. …”
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106
Analysis of Factors Affecting the Innovation Level of Agricultural Operators
Published 2024-02-01“…A total of 268 agricultural enterprise owners were interviewed face to face and survey data were compiled. Multiple regression model was applied in the analysis of the factors affecting the perception of innovations by the operator. …”
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107
ANALYSIS OF OPERATION AND RESEARCH OF THE ENERGY CHARACTERISTICS ROTARY DISPERSER
Published 2017-03-01Get full text
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Comparative analysis of robot-assisted and laparoscopic operations in oncogynecology
Published 2024-05-01Get full text
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111
Optimising industrial efficiency: integrating K-Means clustering and data Science for sustainable manufacturing and waste Reduction
Published 2025-12-01“…This study investigates the practical application of K-means clustering analysis within industrial settings to optimise machine performance and operational efficiency. …”
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112
On the starting and operational transients at the core of the RMB based on 2D multigroup diffusion:
Published 2023-07-01“…Use was made of a programming in VBA (Visual Basic for Applications) from Excel, for data visualization in the transient.…”
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113
Investigating the Transferability of Calibrated Microsimulation Parameters for Operational Performance Analysis in Roundabouts
Published 2017-01-01“…Microsimulation models are widespread for the analysis of roundabouts operational performance providing realistic modelling of vehicle movements. …”
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114
Retrospective and operational analysis of the epidemiological situation of human dirofilariasis in the Astrakhan region
Published 2021-07-01“…The aim of this study was retrospective and operative analysis of the epidemiological situation dirofilaria man in the Astrakhan region for the period from 1951 to 2019. …”
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115
Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management
Published 2019-01-01“…The analysis shows that the big data analysis method based on the CDR data of mobile phones can provide real-time information about tourist behaviours in a timely and effective manner. …”
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116
Activity recognition in motor-manual cross-cutting operations by machine learning on multimodal data
Published 2025-08-01“…This capability will facilitate the documentation of efficiency and delays in cross-cutting and delimbing activities without requiring specialized knowledge of forest operations or time studies. Data collection can span several working days and cover multiple locations, thereby minimizing the time spent on data management and analysis. …”
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117
Fundamental Principles of Neutron Monitor Data Systems and Data Analysis
Published 2025-06-01“…It introduces the Neutron Monitor Database (NMDB) network—established with European Commission FP7 support—together with its web interface, RESTful API, and Python-based analysis capabilities. The paper demonstrates how NM data can be integrated into real-time monitoring and early-warning systems for space-weather phenomena such as Forbush decreases, solar energetic particle events, and especially ground-level enhancements (GLEs). …”
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118
Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data
Published 2025-03-01“…The relationship between these risks and unsafe events is thoroughly analyzed and mined based on unsafe event data analysis. The paper presents a data-driven method for risk assessment that effectively tackles the issue of subjective bias in existing studies that rely on expert evaluations. …”
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119
Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior.
Published 2022-01-01“…Grating fabrication defects and photon starvation lead to high noise amplitudes in the measured data. Moreover, the highly ill-conditioned differential nature of the GI-CT forward operator renders the inversion from corrupted data even more cumbersome. …”
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Industrial data-driven machine learning soft sensing for optimal operation of etching tools
Published 2024-12-01“…The operational data are then used in an intelligent data aggregation approach that increases the scope and robustness for soft sensors in general by creating larger training datasets comprised of high value data with greater operational ranges and process variation. …”
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