Using a novel, multi-method approach to evaluate the quality of self-report survey data in organizational readiness research by Derek W. Craig, Jocelyn Hunyadi, Timothy J. Walker, Lauren Workman, Maria McClam, Andrea Lamont, Joe R. Padilla, Pamela Diamond, Abraham Wandersman, Maria E. Fernandez

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Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data by Carlo Dindorf, Jonas Dully, Steven Simon, Dennis Perchthaler, Stephan Becker, Hannah Ehmann, Christian Diers, Christoph Garth, Michael Fröhlich

“…Traditional proportion-based segmentation methods are often limited, particularly for atypical foot structures and low-quality data. Although recent advances in machine learning (ML) offer opportunities for automated and robust segmentation across diverse datasets, existing models primarily rely on data from single laboratories, limiting their applicability to multicenter datasets. …”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…Gappy POD is particularly well-suited for scenarios with limited sensor data, as it leverages spatial correlations to reconstruct the full temperature field. …”
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Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing by Alireza Vafaeinejad, Alireza Sharifi, Shahid Nawaz Khan

“…These findings demonstrate the potential of ensemble learning models to deliver reliable and interpretable yield forecasts, even under imperfect data conditions, making them practical tools for real-world precision agriculture applications. …”
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State-of-the-Art Cross-Platform Mobile Application Development Frameworks: A Comparative Study of Market and Developer Trends by Gregor Jošt, Viktor Taneski

“…The research employs a data-driven methodology, drawing insights from three key categories: Developer Sentiment and Survey Data, Community Engagement and Usage Data, and Market Adoption and Job Market Data. …”
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Quantum computing empowering blockchain technology with post quantum resistant cryptography for multimedia data privacy preservation in cloud-enabled public auditing platforms by Abdullah Ayub Khan, Asif Ali Laghari, Hamad Almansour, Leila Jamel, Fahima Hajjej, Vania V. Estrela, Mohamad Afendee Mohamed, Sajid Ullah

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Experimental Characterization of Commercial Scroll Expander for Micro-Scale Solar Organic Rankine Cycle Application: Part 2 by Federico Fagioli, Maria Manieri, Gianmarco Agostini, Michele Salvestroni, Francesco Taddei, Filippo Cottone, Maurizio De Lucia

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Geospatial information technology: analysis of architectural characteristics from vertical and horizontal perspectives and intelligent-driven application modes by Cheng Su, Ershun Zhong, Shaohua Wang, Hao Lu

“…With the advent of spatiotemporal big data, cloud computing, and artificial intelligence, its application modes have evolved significantly, presenting new development opportunities. …”
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Economic and Environmental Effects of Farmers’ Green Production Behaviors: Evidence from Major Rice-Producing Areas in Jiangxi Province, China by Mengling Zhang, Li Zhou, Yuhan Zhang, Wangyue Zhou

“…This paper utilizes survey data from 1345 farm households in the main rice production areas of Jiangxi Province, China, using the example of reduced fertilizer application (RFA) among rice farmers. …”
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MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging by Sibtain Syed, Rehan Ahmed, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

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Monte Carlo simulation and performance assessment of GE Discovery 690 VCT positron emission tomography/computed tomography scanner by Elham Kashian, Hadi Ahangari, Vahab Dehlaghi, Karim Khoshgard, Pardis Ghafarian, Raheb Ghorbani

“…Validation was based on a comparison between simulation data and experimental results obtained with this scanner in the same situation. …”
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A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition by Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding

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Fostering non-intrusive load monitoring for smart energy management in industrial applications: an active machine learning approach by Lukas Fabri, Daniel Leuthe, Lars-Manuel Schneider, Simon Wenninger

“…However, besides the lack of feasible industrial time series data, the key challenge of NILM in industrial applications is the scarcity of labeled data, leading to costly and time-consuming workflows. …”
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Real-world application of targeted next-generation sequencing for identifying molecular variants in Asian non-small-cell lung cancer by Fang-Yu Wang, Yi-Chen Yeh, Shin-Ying Lin, Shu-Ying Wang, Paul Chih-Hsueh Chen, Teh-Ying Chou, Hsiang-Ling Ho

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Peculiarities of the application of the knowledge of mathematics in real-life situations and solving problems in case of senior form students having moderate special needs by Laima Tomėnienė

“…The research data have been collected applying quantitative approach. …”
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Simulating method for TCP aggregated traffic of large scale network by CHEN Yu-feng1, DONG Ya-bo1, LU Dong-ming1, PAN Yun-he1

“…To obtain a trade-off between veracity and complexity when simulating TCP traffic of large-scale network,the TCP aggregated traffic of access network in the gateway was proposed as simulated object,instead of the traffic generated at the individual host or session level.Based on the self-similarity of application-level and network-level,the TCP aggregated traffic model was proposed due to the self-similarity of network traffic.The self-similar traffic at application level was generated by aggregating many ON/OFF sources following Pareto distribution.The aggregated transmission control was put on the traffic at network transmission level based on the mechanism of TCP protocol.Compared with the real data collected from a Network Exchange Center,the simulating result shows the validity of the model from the criteria of traffic load proportion,traffic self-similarity,and the packet loss ratio.…”
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Drilling dynamics measurement of drilling motors and its application in recognition of motor operation states through machine learning by Fei Li, Haolan Song, Yifan Wang

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Simulating method for TCP aggregated traffic of large scale network by CHEN Yu-feng1, DONG Ya-bo1, LU Dong-ming1, PAN Yun-he1

“…To obtain a trade-off between veracity and complexity when simulating TCP traffic of large-scale network,the TCP aggregated traffic of access network in the gateway was proposed as simulated object,instead of the traffic generated at the individual host or session level.Based on the self-similarity of application-level and network-level,the TCP aggregated traffic model was proposed due to the self-similarity of network traffic.The self-similar traffic at application level was generated by aggregating many ON/OFF sources following Pareto distribution.The aggregated transmission control was put on the traffic at network transmission level based on the mechanism of TCP protocol.Compared with the real data collected from a Network Exchange Center,the simulating result shows the validity of the model from the criteria of traffic load proportion,traffic self-similarity,and the packet loss ratio.…”
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Self‐Potential Tomography Preconditioned by Particle Swarm Optimization—Application to Monitoring Hyporheic Exchange in a Bedrock River by Scott J. Ikard, Kenneth C. Carroll, Scott C. Brooks, Dale F. Rucker, Gladisol Smith‐Vega, Aubrey Elwes

“…The developed algorithm was then validated by an application to SP‐monitoring field data measured on the floodplain of East Fork Poplar Creek, Oak Ridge, Tennessee, to image electrical sources in areas conducive to preferential flow into the flood plain from the bedrock‐lined riverbed. …”
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A Compact High-Precision Cascade PID-Control Laser Driver for Airborne Coherent LiDAR Applications by Zixuan Ming, Xianzhuo Li, Yanyi Wang, Yuanzhe Qu, Zhiyong Lu, Honghui Jia, Haoming Yuan, Qianwu Zhang, Junjie Zhang, Yingxiong Song

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