Teachers’ pedagogical skills and student readiness and achievement in data processing in senior secondary schools in Ibadan, Nigeria by Babatunde Kasim Oladele, Modinat Adetutu LAIDE-RAJI

“…We used a multi-stage sampling procedure to select samples. Data was gathered using the pedagogical skills rating scale, the student's readiness questionnaire and the data processing achievement test. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…In view of the challenges brought by a complex environment, diverse data sources and urban development needs, our study comprehensively reviews the application of algorithms in urban residential vacancy rate observation. …”
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The Characteristics of Runoff Process Structure Changes under the Influence of Climate Change and Human Activities and the Decomposition of Contribution Rate of Impact Factors by Xiaoyuan Song, Zhongyuan Zhu, XiaoKang Xi, Guibin Zhang, Hailong Wang

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False alarm rates of fault detection methods by Yusuf Sevim

“…This study focuses on the fault detection (FD) andfalse alarm rates (FAR) of Principal component analysis (PCA) and independent component analysis (ICA)algorithms on the Tennessee Eastman (TE) process. …”
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Analysis of Exchange Rate Stability on the Economic Growth Process of a Developing Country: The Case of South Africa from 2000 to 2023 by Collin Chikwira, Mohammed Iqbal Jahed

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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

“…We split the data into 80% training and 20% testing. All images underwent extensive preprocessing, including grayscale conversion, noise removal, and contrast-limited-adaptive-histogram equalization (CLAHE). …”
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Understanding the Relationship Between Safety Satisfaction and Total Recordable Incident Rate (TRIR), and Their Relevant Processes Through Self-Determination Theory by Kritsada Khun-anod, Tsunemi Watanabe, Satoshi Tsuchiya

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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…Hyperspectral imaging is widespread in crop nitrogen (N) monitoring for precision agriculture, although approaches that address the agronomical recommendation of the optimal N rate are still lacking. Here, two approaches are explored in defining the optimal N rate to be supplied in fertigated processing tomatoes through hyperspectral imaging. …”
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Determination of Covid-19 Pulmonary Infection Rate From X-Ray Images Using U-Net Model by Mohammed Al-Tamimi, Hadeel Jabar, Husam Ali Abdulmohsin, Farah khiled AL-Jibory

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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications by Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi

“…<italic>Goal:</italic> To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. …”
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Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

“…Using the K-means clustering algorithm in data mining, rock cuttings data was classified and processed in batches to obtain HSV color ranges for different rock cuttings colors. …”
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Beyond Empathy: Unveiling the Co-Creation Process of Emotions through a Wearable Device by Bach Q. Ho, Kei Shibuya, Makiko Yoshida

“…Emotions fluctuate during the process of social interaction. Although the co-creation of emotions through organizational behavior has been discussed theoretically in existing research, there is no method to demonstrate how emotions are co-created. …”
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bs-scheduler: A Batch Size Scheduler library compatible with PyTorch DataLoaders by George Stoica, Mihaela Elena Breabăn

“…Increasing the batch size improves the training speed and hardware efficiency by enabling deep neural networks to ingest and process more data in parallel. Inspired by learning rate adaptation policies that yield good results, methods that gradually adjust the batch size have been developed. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Abstract In the process of smart breeding, the rapid statistics of soybean emergence rate, as an important part of breeding screening, face challenges under environmental constraints, especially the selection and breeding of soybean varieties in dense environments. …”
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Is Autonomic Function Associated with (Central) Pain Processing in Individuals with Chronic Pain? A Systematic Review by Iris Meuwissen, Catharina Quaadvliet, Mira Meeus, Timo Meus, Michel GCAM Mertens

“…Chronic pain often involves altered central pain processing (CPP), characterized by widespread allodynia and hyperalgesia. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…Each plays a vital role in forecasting the oil production rate. To ensure reliability, robust data preprocessing was conducted using the Monte Carlo outlier detection (MCOD) method to recognize and manage data outliers. …”
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Single Functional Index Quantile Regression for Functional Data with Missing Data at Random by Nadia Kadiri, Sanaà Dounya Mekki, Abbes Rabhi

“…First, a kernel estimator was proposed for the conditional distribution function, assuming that the data were selected from a stationary process with missing data at random (MAR). …”
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Natural Language Processing For Requirement Elicitation In University Using Kmeans And Meanshift Algorithm by Devi Yurisca Bernanda, Dayang N.A. Jawawi, Shahliza Abd Halim, Fransiskus Adikara

“…Conclusion in this research is determining is the clustering algorithm help the collection data and elicitation process has a somewhat greater impact on the ratings provided by professionals for pairs that belong to the same cluster. …”
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SPBView: An extendable data analysis and combined visualization tool for saccadic eye-movement, pupil size, and blink detection by Marcel Ritter, Alexandra Hoffmann, Nikolaus Rauch, Pierre Sachse, Atbin Djamshidian, Matthias Harders, Philipp Ellmerer

“…It further includes an error classification and processes the raw data into a trial-by-trial (target) output. …”
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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…DFPS is designed with a multithreaded parallel acceleration architecture, which significantly enhances processing speed. Experimental results demonstrate that, for a point cloud dataset containing millions of points, DFPS reduces processing time from approximately 161,665 s using the original FPS method to approximately 71.64 s at a 12.5% sampling rate, achieving an efficiency improvement of over 2200 times. …”
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