Estimation of aboveground biomass and carbon storage in mangroves along the coast of Banda Aceh City by Farahisah Harum, Nanda Muhammad, Haditiar Yudi, Khairunnisa

“…Data collection was conducted at four stations, namely Station 1 in Meuraxa District, Station 2 in Kuta Raja District, Station 3 in Kuta Alam District, and Station 4 in Syiah Kuala District, using a 100 m² quadrat transect method. Data processing involved allometric equations to determine aboveground biomass and carbon storage. …”
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Tennis Assistance Technology Based on Dynamic Time Warping Algorithm by Penggang Wang, Pengpeng Zhang, Guanxi Fan

“…Therefore, technology significantly improves the scientific and targeted nature of tennis training through advanced algorithms and data processing techniques. This technology not only provides real-time and accurate feedback to help athletes improve their technical movements, but also enhances training productivity and precision, which is important for promoting the popularization and development of tennis.…”
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A Classification Model Based on Interval Rule Inference Network with Interpretability by Yunxia Zhang, Yiming Zhong, Xiaochang Wu, Jing Bai

“…Interpretability requirements, complex uncertain data processing, and limited training data are characteristics of classification in some real industry applications. …”
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Signal-to-Noise Ratio Analysis Based on Different Space Remote Sensing Instruments by Lei Zhang, Bo Li, Hanshuang Li, Guochao Gu, Xiaoxu Wang

“…Therefore, in the instrument design and data processing processes, it is essential to consider how to maximize SNR and establish more accurate corresponding SNR models to provide high-quality remote sensing data.…”
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Examining information needs of public data service users: a study based on the ‘Message Board for Leaders of People’s Daily in China’ by Xiaoyue Zhang, Jinya Liu, Xinyue Wang, Wanteng Ma, Pu Yan

“…This paper further identified the hierarchy of information needs based on public data processing levels. We utilised Sankey diagram to effectively illustrate cross-analysis result between topics and information needs’ subcategories. …”
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Safeguarding forest ecosystems: harnessing IoT for fire detection by Iman Atighi, Zhi Zhou

“…IoT-based solutions leverage Wireless Sensor Networks (WSNs), which consist of sensor nodes equipped with various sensors, data processing capabilities, and wireless communication, all powered by batteries. …”
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Reevaluating the necessity of static shift correction in magnetotelluric inversion by Jingzhong Zeng, Jingzhong Zeng, Xiaobin Chen, Xiaobin Chen, Peijie Wang, Zhongyin Liu, Zhongyin Liu, Juntao Cai, Juntao Cai

“…Correcting static shift through data processing remains a challenging task. Based on the characteristic that static shift affects only apparent resistivity data without impacting phase data, this paper proposes an inversion strategy that avoids static shift correction. …”
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Assessing Landsat Processing Levels and Support Vector Machine Classification by Nehad Al-Salmany, Taghreed A. Naji

“…This study investigates the impact of the Landsat data processing level on the accuracy of land cover classification using a support vector machine (SVM) classifier. …”
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A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones by Mansahaj Singh Popli, Rudra Pratap Singh, Navneet Kaur Popli, Mohammad Mamun

“…Traditional centralized data processing approaches are inefficient under these conditions as they require transmitting large volumes of raw data to a central location. …”
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Active Thermometry Based DS18B20 Temperature Sensor Network for Offshore Pipeline Scour Monitoring Using -Means Clustering Algorithm by Xuefeng Zhao, Weijie Li, Lei Zhou, Gang-Bing Song, Qin Ba, Jinping Ou

“…The system consists of thermal cables, data acquisition unit, and data processing unit. As the thermal cables emit heats, the distributed DS18B20 digital temperature sensors record temperature information over time. …”
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Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

“…Physical reservoir computing (PRC), which utilizes the inherent nonlinearity of physical systems for data processing, offers a promising alternative. This study proposes a novel self‐estimated physical reservoir computing (SEPRC) model that improves traditional PRC models for gait perception using a wearable pneumatic physical reservoir. …”
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Visual Feedback System Supporting Robotic Manipulation of Hemp Plants by Marek Kraft, Bartosz Ptak, Mateusz Piechocki, Dominik Pieczyński, Kamil Młodzikowski, Bartłomiej Kulecki, Dominik Belter

“…The solution uses an industry-standard, inexpensive RGB-D camera as the input data source to derive control signals controlling the robotic arm and end effector. Input image data processing is performed by a dedicated neural network model trained using a dataset created specifically for the described task to achieve detection by stalk segmentation and postprocessing. …”
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Evaluating suitability of regression models in small data regimes using concrete with recycled copper tailings as a case study by Ahed Habib, Samer Barakat, Samir Dirar, Salah Al-Toubat, Zaid A. Al-Sadoon

“…Specifically, the research focuses on evaluating the suitability of five regression models across nine different data processing scenarios using concrete with recycled copper tailing as a case study. …”

Individual morphostructural components of yield in black currant cultivars by O. A. Tikhonova

“…The research was conducted by conventional methods. Statistical data processing was performed using Microsoft Excel.Results and conclusions. …”
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Raman Spectroscopy and Its Application in Fruit Quality Detection by Yong Huang, Haoran Wang, Huasheng Huang, Zhiping Tan, Chaojun Hou, Jiajun Zhuang, Yu Tang

“…This paper reviews the fundamental principles and recent advancements in Raman spectroscopy and explores data processing techniques that use machine learning in Raman spectroscopy, with a focus on its applications in detecting fruit diseases, analyzing pesticide residues, and identifying origins. …”
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Fractional hitting sets for efficient multiset sketching by Timothé Rouzé, Igor Martayan, Camille Marchet, Antoine Limasset

“…Abstract The exponential increase in publicly available sequencing data and genomic resources necessitates the development of highly efficient methods for data processing and analysis. Locality-sensitive hashing techniques have successfully transformed large datasets into smaller, more manageable sketches while maintaining comparability using metrics such as Jaccard and containment indices. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…The results show that the proposed work reduces the data processing time by 30%.…”
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Impact of Non-Surgical Periodontal Treatment on Total WBC Count in Patients with Periodontitis by Hozan Wrya Azeez, Arkhawan Ali Abdulhaq, Ziwar Ahmed Salih

“…Statistical tests were done by standard program data processing (MS excel) paired t test. Conclusion: The present study concludes that total WBC counts were decreased after non- surgical periodontal therapy …”
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Epidemiological and clinical variables in pediatric patients hospitalized for urinary tract infection by Isabel María Vallina López, Rolando Rodríguez Puga, Yasnier Dueñas Rodríguez, Yoánderson Pérez Díaz, María Emilia Navarro Huertas, María Francisca Garcés Raventós

“…The studied variables were: age group and sex, health area, clinical signs and symptoms, risk factors and isolated germs. Data processing was carried out using the statistical package for the social sciences and the results were expressed in absolute values and percentages.…”
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State-of-the-Art Detection and Diagnosis Methods for Rolling Bearing Defects: A Comprehensive Review by Bojun Sun, Zixin Sheng, Peng Song, Huilin Sun, Fei Wang, Xiaogang Sun, Junyan Liu

“…This article provides a comprehensive review of the existing fault diagnosis methods for rolling bearings in four aspects: the integration of advanced sensor technology and advanced data processing technology, multimodal fusion, intelligent detection, and real-time monitoring. …”
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