An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…In the preprocessing phase, super-resolution is applied to input data using LapSRN to effectively enhance the data quality, aiming to achieve optimal performance. …”
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User avoidance behavior in pharmaceutical e-commerce intelligent customer service: a stressor-strain-outcome perspective by Jing Jia, Lu Chen, Chengzhen Wu, Manling Xiao

“…It expands the boundaries of technology acceptance research by focusing on ICS use and avoidance in high-risk environments.MethodA total of 418 valid questionnaires were collected from participants, ensuring data quality through rigorous screening. The study employed SPSS for data normality tests and SmartPLS for structural equation modeling to analyze the relationships between emotional stress, system overload, and user avoidance behavior.ResultsThe findings indicate that system overload, information overload, and service overload significantly contribute to user emotional stress, which in turn drives avoidance behavior. …”
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Bridging the Maturity Gaps in Industrial Data Science: Navigating Challenges in IoT-Driven Manufacturing by Amruta Awasthi, Lenka Krpalkova, Joseph Walsh

“…The importance of including stakeholders in the data review process to enhance the data quality is accentuated in this paper, specifically when big data analysis is to be integrated into corporate strategies. …”
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scATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq by E. Ravza Gur, Jim R. Hughes

“…However, scATAC-seq provides substantially higher data quality compared to bulk ATAC-seq improving the sensitivity to detect relatively weak, but functionally important ATAC-seq signals. …”
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BanglaBlend: A large-scale nobel dataset of bangla sentences categorized by saint and common form of bangla languageMendeley Data by Umme Ayman, Chayti Saha, Azmain Mahtab Rahat, Sharun Akter Khushbu

“…To achieve the best data quality, rigorous pre-processing techniques such as anonymization and duplication removal were used. …”
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An evaluation of the severe acute respiratory infection surveillance system in Ireland by Louise Marron, Roisin Duffy, Joan O’Donnell, Lisa Domegan

“…However, improvement in the timeliness of WGS data and recording of vaccination status and equity stratifiers e.g. ethnicity, would strengthen data quality. Priorities for expansion include process automation and adequate resource allocation, to enable reliable SARI surveillance at all times.…”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Fast reconstruction algorithms are essential for near real-time alignment, calibration, data quality control, and efficient analysis. At the future electron–ion collider (EIC), the ePIC detector will feature a dual Ring Imaging Cherenkov (RICH) detector in the hadron direction, a Detector of Internally Reflected Cherenkov (DIRC) in the barrel, and a proximity focus RICH in the electron direction. …”
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A Review of AI Applications in Unconventional Oil and Gas Exploration and Development by Feiyu Chen, Linghui Sun, Boyu Jiang, Xu Huo, Xiuxiu Pan, Chun Feng, Zhirong Zhang

“…However, challenges such as data quality, model generalization, and interpretability remain significant. …”
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Absorption Efficiency Assessment and Uncertainty Measurement of the Sodium Arsenite Method for Ambient NO2 Determination by Rishu Agarwal, Shankar G. Aggarwal

“…The use of at least three absorbers/impingers (connected in series) instead of one to obtain absorption efficiency close to unity is proposed to make the reference method independent from the use of absorption efficiency factor thus ensuring the improved data quality and comparability.…”
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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

“…Preprocessing methods like weighted differential scaling and gradient-based adaptive resampling improve data quality and reduce class imbalances. Contextual attribute transformation captures the nuanced network behaviors needed for anomaly identification. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…In the existing works, certain limitations, such as reduced performance due to degraded data quality, high storage space requirements, overfitting issues, and lack of robustness, can compromise overall classification accuracy. …”
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Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data by Xiangqian Li, Qiongyan Peng, Ruoque Shen, Wenfang Xu, Zhangcai Qin, Shangrong Lin, Si Ha, Dongdong Kong, Wenping Yuan

“…A total of 432,230 Landsat scenes were processed, enhancing data quality and accuracy. The dataset was validated using 255,000 samples across 6 geographical regions, showing strong performance in capturing spatiotemporal NDVI variations. …”
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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

“…By addressing challenges related to data quality and model interpretability, this review underscores the importance of continuous innovation in solar forecasting techniques to fully realize their potential. …”
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Construction and Application of Enterprise Internal Audit Data Analysis Model Based on Decision Tree Algorithm by Yuna Si

“…In order to solve many problems in traditional auditing, this paper realizes the interface of data dictionary attributes through effective domain management of multisystem data, so as to achieve the purpose of system support and effective management to improve data quality. Furthermore, the platform is extensible, which can gradually expand the data coverage and support more management fields and business systems. …”
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades by Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Wei Li, Xinxin Liu, Liangpei Zhang

“…The Advanced Very High-Resolution Radiometer (AVHRR) instrument can provide the longest continuous time series since 1982, but with the drawback of coarse spatial resolution and poor data quality. To address this issue, a spatiotemporal fusion-based long-term NDVI product (STFLNDVI) since 1982 was generated in this study at a 1-km spatial resolution with monthly intervals, by fusing with the Moderate Resolution Imaging Spectroradiometer (MODIS) data. …”
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Systems science and systems thinking for public health: a systematic review of the field by Gemma Carey, Brad Crammond, Eleanor Malbon, Nicole Carey, Andrew Joyce, Alan Carey

“…The assessment of data quality was intrinsic to the goals of the review itself, and therefore, was carried out as part of the analysis.Results 4 categories of research were identified from the review, ranging from editorial and commentary pieces to complex system dynamic modelling. …”
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SAR Radiometric Cross-Calibration Based on Multiple Pseudoinvariant Calibration Sites With Extensive Backscattering Coefficient Range by Yongsheng Zhou, Xiang Chen, Qiang Yin, Fei Ma, Fan Zhang

“…It employs weighted least squares regression for the different data quality of each site. The cross-calibration experiments demonstrate an average improvement in the accuracy of 0.82 dB compared to the cross-calibration method utilizing a single PICS site.…”
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Enhancing Particulate Matter Estimation in Livestock-Farming Areas with a Spatiotemporal Deep Learning Model by Dohyeong Kim, Heeseok Kim, Minseon Hwang, Yongchan Lee, Choongki Min, Sungwon Yoon, Sungchul Seo

“…Air dispersion models, commonly employed to estimate particulate matter (PM) levels, are heavily reliant on data quality, resulting in varying levels of accuracy. …”
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MMFW-UAV dataset: multi-sensor and multi-view fixed-wing UAV dataset for air-to-air vision tasks by Yang Liu, Zhihao Sun, Lele Xi, Lele Zhang, Wei Dong, Chen Chen, Maobin Lu, Hailing Fu, Fang Deng

“…MMFW-UAV contains a total of 147,417 fixed-wing UAVs images captured by multiple types of sensors (zoom, wide-angle, and thermal imaging sensors), displaying the flight status of fixed-wing UAVs of different sizes, appearances, structures, and stabilized flight velocities from multiple aerial perspectives (top-down, horizontal, and bottom-up views), aiming to cover the full-range of perspectives with multi-modal image data. Quality control processes of semi-automatic annotation, manual check, and secondary refinement are performed on each image. …”
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The Mediating Role of Emotional Intelligence in the Organisational Commitment and Turnover Intention of Clinical Nurses: A Cross‐Sectional Study by Han Lingyu, Li Ruiling, Wang Yiman, Liu Yafeng, Bai Xiaolu

“…It is important to note that the research upholds the highest standards of integrity, with a meticulous review process and a dedicated effort to maintain data quality.…”
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