Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel by Fariha Ahmed Nishat, M. F. Mridha, Istiak Mahmud, Meshal Alfarhood, Mejdl Safran, Dunren Che

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Research on landing distance of a civil aircraft based on Bayesian network by WANG Ke, SHAO Jingwen, YANG Jun

“…Adopting the actual operation data of a domestic civil aircraft and the simulation and validation data of aircraft performance software to perform the landing distance comparison and analysis can provide the quantitative support for the improvement of the aircraft's operation capability. …”
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Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures by Richard Gebler, Ines Reinecke, Martin Sedlmayr, Miriam Goldammer

“…MethodsWe developed a comprehensive analysis framework that integrates aspects of data governance with technical performance criteria. …”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

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The Sensitivity Analysis of Whitecapping Dissipation Term for Calibration of SWAN Model Forced with ERA5 Winds in the Gulf of Oman by Amir Siahsarani, Majid Azadi, Behzad Layeghi, Davoud Babazadeh

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A Low-Cost Wireless Monitoring System for Photovoltaic Systems: Performance Analysis and Potential Application in Direct-Current Nanogrids by Norman J. Beltrán Castañón, Fredy Chura Acero, José Ramos Cutipa, Omar Chayña Velásquez, Henry Shuta Lloclla, Edisson Cruz Ticona

“…This study presents a low-cost wireless monitoring system for PV systems, designed for performance analysis and with potential application in DC nanogrids. …”
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Patterns and Analysis of Traffic Accidents in New York City between 2013 and 2023 by Vikram Mittal, Elliot Lim

“…Due to the high population density and significant commuting population, the city experiences a large number of vehicles operating in a congested environment, leading to a substantial number of traffic accidents. …”
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XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine by Nagoor Basha Shaik, Kittiphong Jongkittinarukorn, Kishore Bingi

“…This work extensively develops and evaluates an XGBoost model for predictive analysis of gas turbine performance. The goal is to construct a robust prediction model by utilizing previous operational data, such as environmental variables and operational parameters. …”
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Improved chosen-plaintext power analysis attack against SM4 at the round-output by Zhi-bo DU, Zhen WU, Min WANG, Jin-tao RAO

“…The power analysis attack on SM4 using the chosen-plaintext method was proposed by Wang et al in 2013 CIS.The fixed data was introduced in the method when attacking the round key.However,the attack process was complex.There were many problems in the process,such as more power traces,more numbers of the chosen-plaintext and acquisition power traces.The correlation between the fixed data and the round key were presented,which could be used to decode the round key.Based on the correlation,the improved chosen-plaintext power analysis attack against SM4 at the round-output was proposed.The proposed method attacked the fixed data by analyzing the power traces of the special plaintext.And the round key was derived based on the correlation.The results show that the proposed attack algorithm is effective.The proposed method not only improves the efficiency of the attack by reducing number of power traces,number of the chosen-plaintext and number of acquisition power traces,but also can be applied to a chosen-plaintext power analysis attack against SM4 at the shift operation.…”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…A data analysis system integrating blockchain-based distributed trust management with deep reinforcement learning (DRL) is introduced to address these issues. …”
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The Analysis of the Impact of Energy and Environmental Policies of the European Union on the Economic Performance of Companies. Case Study in the Transport Sector by Monica Aureliana Petcu, Eduard Mădălin Dinu, Irina Daniela Cişmaşu, Raluca Andreea Popescu-Predulescu

“…The contributions of the two-dimensional approach conducted consist of mediating the conflict between the objectives of economic profitability and the environmental constraints, targeting both the microeconomic level, through the analysis of the gross operating rate in correlation with energy consumption and CO2 emissions, as well as the macroeconomic level, constituting a benchmark in policies substantiation…”
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Memory-Driven Forensic Analysis of SQL Server: A Buffer Pool and Page Inspection Approach by Jiho Shin

“…This demonstrates the feasibility of real-time forensic analysis without interrupting the operational database. …”
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Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications by Saulo Ferreira, Júlio Mendonça, Bruno Nogueira, Willy Tiengo, Ermeson Andrade

“…Some of our findings include, for instance, that opting for strong data consistency significantly impacts Cassandra’s reading operations in the single-region deployment, while MongoDB writing operations are most affected in a multi-region scenario. …”
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PPDD: Egocentric Crack Segmentation in the Port Pavement with Deep Learning-Based Methods by Hyemin Yoon, Hoe-Kyoung Kim, Sangjin Kim

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Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland by Krystian Kozioł, Natalia Borowiec, Urszula Marmol, Mateusz Rzeszutek, Celso Augusto Guimarães Santos, Jerzy Czerniec

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Smart city rankings and startup ecosystems: An empirical analysis of inverse correlation across 77 smart cities by Aleksandra Kuzior, Viktoriia Marhasova, Viera Zozuľakova, Maria Kočnerova, Vitaliia Koibichuk, Lyudmila Ryabushka, Tetiana Vasylieva

“…The study employed available data from the Global Startup Ecosystem Report (by Startup Genome) and the Smart City Index (SCI by the IMD World Competitiveness Center). …”
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Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations by Nicholas Tierney, Dianne Cook

“… Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus on how to make it easy to handle, explore, and impute missing values in data. This paper addresses this gap. The new methodology builds upon tidy data principles, with the goal of integrating missing value handling as a key part of data analysis workflows. …”
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Autonomous bus services: current research status and future recommendations by Jinxing Shen, Qinxin Liu, Zi Ye, Wenfeng Jiang, Changxi Ma

“…Most user attitude -related research data are obtained via questionnaires and analyzed using statistical techniques. …”
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Data-Driven Business Process Evaluation in Commercial Banks: Multi-Dimensional Framework with Hybrid Analytical Approaches by Zaiwen Ni, Binqing Xiao, Yanying Li

“…However, traditional evaluation methods that rely on retrospective qualitative assessments and static frameworks struggle to address the dynamic complexities inherent in modern banking operations. These approaches lack real-time monitoring, fail to leverage granular event log data, and overlook organizational interdependencies, hindering proactive risk management and optimization. …”
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