Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization by Michael Sishi, Arnesh Telukdarie

“…However, traditional KPIs are inflexible and cannot adapt to changes in staff, business units, functions, and processes. To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. …”
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CRYPTOGRAPHIC KEY IMPROVED PRIVACY UNDER THE CONDITIONS OF SOME OF CRYPTOGRAPHIC KEY VALUE DATA LEAK by U. F. Holikau, V. L. Pivovarov

“…The article outlines the possibility of increasing the privacy of cryptographic key generated in the conditions of data leakage of some of its values. Such a situation can occur in the formation of a common cryptographic key of a symmetric cryptosystem employing a quantum channel, listened by a cryptanalyst, or other methods that do not make use of one-way functions. …”
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Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem by Yibei Chen, Dorota Jarecka, Sanu Ann Abraham, Remi Gau, Evan Ng, Daniel M Low, Isaac Bevers, Alistair Johnson, Anisha Keshavan, Arno Klein, Jon Clucas, Zaliqa Rosli, Steven M Hodge, Janosch Linkersdörfer, Hauke Bartsch, Samir Das, Damien Fair, David Kennedy, Satrajit S Ghosh

“…Our comparison results showed that ReproSchema met 14 of 14 FAIR criteria and supported 6 of 8 key survey functionalities: provision of standardized assessments, multilingual support, multimedia integration, data validation, advanced branching logic, and automated scoring. …”
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Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification by Diniati Ruaika, Shofwatul Uyun

“…Convolutional Neural Networks (CNN) have proven effective for image analysis. However, problems arise due to factors such as the model’s quality, unbalanced training data, overfitting, and layers’ complexity. …”
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General Data Protection Regulation Compliance and Privacy Protection in Wearable Health Devices: Challenges and Solutions by Mazlum Özçağdavul

“…Privacy-by-design and encryption were identified as critical solutions, though these approaches introduce trade-offs in device functionality and user experience.Conclusion: Addressing GDPR compliance in wearable health devices requires a balance between robust data protection and usability. …”
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Falwa: Python Package to Implement Finite‐Amplitude Local Wave Activity Diagnostics on Climate Data by Clare S. Y. Huang, Christopher Polster, Noboru Nakamura

“…Recent development of a finite‐amplitude local wave activity (FALWA) theory by Nakamura and collaborators enables comprehensive analysis of the dynamics of finite‐amplitude Rossby waves observed in climate data, which helps to understand the drivers of their life cycles. …”
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Database formation in the R software environment: experience of economic research at the municipal level by E.A. Prokopyev, V.A. Igolkin

“…Using the example of working with data, the functions left_join(), pivot_longer(), fill(), group_by(), arrange(), summarize(), separate() are analyzed. …”
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A smart agriculture information system delivering research data for adoption by the Australian grains industry by A. Ollerenshaw, N. Robinson, A. Chadha, J. Channon

“…In-depth, semi-structured interviews were conducted with leaders and innovators from the agriculture industry (N = 16). Thematic analysis of the qualitative data reveals widespread value of OFT as an important resource for accessing industry-dedicated, current and historical research trials data. …”
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Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

“…Challenges like data quality, understanding the model, and following regulations were tackled using explainable AI (XAI) and strict validation methods. …”
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ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners by Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui

“…The results show that ISOA performs better than SOA in the test of 14 standard functions. Finally, the ISOA is used to adjust the DBN parameters finely. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…It does most of the data analysis and decision-making. Feature Extraction (FE) is done through CAT-Swarm Optimization. …”
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Soil Health Assessment in the Qinling Reclamation Area Based on Minimum Data Set and Risk Index by ZHANG Le, LI Chunyue, GAO Chuanyu, GUO Huan, LI Yifan

“…Soil samples were collected from different depths (0~20 cm and 20~40 cm), and the analysis was conducted using the Minimum Data Set (MDS) method combined with 35 soil physical, chemical, and biological indicators, along with the contents of four heavy metals. …”
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Long-term health related quality of life in adult extracorporeal membrane oxygenation survivors: a single-centre, cross-sectional study by Xiaoting Zeng, Fuxun Yang, Xiaoxiu Luo, Jiajia Li, Yunping Lan, Fan Zeng, Yu Lei, Chun Pan, Rongan Liu, Xiaobo Huang

“…Conclusions Adult extracorporeal membrane oxygenation survivors have poor health-related quality of life, particularly in social functioning. Key factors affecting their quality of life include caregiver type, employment status, physical and psychological health scores, and place of residence. …”
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COVID-19 vaccination and test management for healthcare workers—development, implementation and feasibility of a custom human resources information platform at a university hospita... by Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner

“…Developing a system allowing for agile real-time analysis as well as for reporting employees’ COVID-19 vaccination and testing status while ensuring the security of personnel data presented several technical and managerial challenges. …”
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A Universal Framework for Near-Real-Time Detection of Vegetation Anomalies from Landsat Data by Yixuan Xie, Zhiqiang Xiao, Juan Li, Jinling Song, Hua Yang, Kexin Lv

“…Firstly, Landsat surface reflectance data from the Benchmark Land Multisite Analysis and Intercomparison of Products (BELMANIP) sites were selected as a reference vegetation dataset to calculate the normalized difference vegetation index (NDVI) and the normalized burn ratio (NBR), which describe vegetation conditions from the perspectives of greenness and moisture, respectively. …”
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Research Interest in Copper Materials for Caries Management: A Bibliometric Analysis by Veena Wenqing Xu, Mohammed Zahedul Islam Nizami, Iris Xiaoxue Yin, John Yun Niu, Ollie Yiru Yu, Chun-Hung Chu

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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…A comparative analysis of different Intrinsic Mode Function (IMF) selection ratios revealed that selecting a 50% IMF ratio effectively retains the intrinsic information of the raw data while minimizing noise. …”
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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

“…The location of a pixel in feature space is a function of its thematic composition. The latter is central to an image classification analysis, notably as an input (e.g., training data for a supervised classifier) and/or an output (e.g., predicted class label). …”
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