Evaluation in Our New Normal Environment: Navigating the Challenges with Data Collection by Nadini Persaud, Ruby Dagher

“… Background: Data collection is a critical component of all evaluations. …”
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Credit Where Credit Is Due: Data and Software in the Space Weather Community by S. K. Morley, H. Liu, B. A. Carter, J. L. Gannon, N. Lugaz

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The Third Side of the Coin: Using Google Earth to Visualize Numismatic Data by Kristina Neumann, John Wallrodt

“…While the practical applications of this methodology are many, this article focuses on an ongoing study of Antioch-on-the-Orontes in northern Syria and its regional evolution after Roman annexation. …”
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A new method to measure the divergence in evidential sensor data fusion by Yutong Song, Yong Deng

“…Evidence theory is widely used in real applications such as target recognition because of its efficiency in evidential sensor data fusing. …”
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Objects Diversity and its Impact on Classification Quality in Dispersed Data Environments by Kwabena Frimpong Marfo, Małgorzata Przybyła-Kasperek

“…The findings have implications for fields reliant on dispersed data storage, such as healthcare, banking, and surveillance, showcasing the model’s potential for real-world applications.…”
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The Lambert-Topp-Leone distribution: an alternative for modeling proportion and lifetime data by Juan M. Astorga, Yuri A. Iriarte

“…This article discusses the Lambert-Topp-Leone distribution as a flexible alternative for modeling proportion and lifetime data. By extending the Topp-Leone distribution, the proposed model offers greater flexibility in terms of skewness and kurtosis, making it suitable for a broader range of real-world applications. …”
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Design and implementation of railway green performance basic data collection system by Xiangru Lyu, Hui Li

“…This system can provide data support for applications such as railway carbon emissions accounting, green cost-benefit analysis, and evaluation of green design solutions.…”
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A dataset revolutionizing Indian bay leaf analysisMendeley Data by Priyanka Paygude, Sandip Thite, Ajay Kumar, Amol Bhosle, Rajendra Pawar, Renuka Mane, Rahul Joshi, Manisha Kasar, Prashant Chavan, Milind Gayakwad

“…The dataset is meticulously curated to support research in condition analysis and machine learning applications for leaf quality assessment. To ensure data diversity, each category includes a wide range of images captured under controlled conditions with varying lighting, background, and leaf orientation. …”
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The impact of soil data on SWAT modeling: Effects, requirements, and future directions by Yassine Bouslihim, Mohamed Ouarani, Soufiane Taia, El Mahdi El Khalki, Abdessamad Hadri, Mohamed Hakim Kharrou, Abdelghani Chehbouni

“…The precision of hydrological models, such as the Soil and Water Assessment Tool (SWAT) model, depends on the quality of input data. This review aims to: (1) systematically analyze the effects of soil data quality and resolution on SWAT model performance across different applications, (2) evaluate the implications of using various global and local soil datasets, and (3) identify knowledge gaps and future research directions in this field. …”
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Evaluation of confirmatory data following the Article 12 MRL review for napropamide by European Food Safety Authority (EFSA), Giulia Bellisai, Giovanni Bernasconi, Luis Carrasco Cabrera, Irene Castellan, Monica Del Aguila, Lucien Ferreira, German Giner Santonja, Luna Greco, Samira Jarrah, Renata Leuschner, Javier Martinez Perez, Ileana Miron, Stefanie Nave, Ragnor Pedersen, Hermine Reich, Silvia Ruocco, Miguel Santos, Alessia Pia Scarlato, Anne Theobald, Manuela Tiramani, Alessia Verani

“…Abstract The applicant UPL Europe Ltd submitted a request to the competent national authority in Slovenia to evaluate the confirmatory data that were identified for napropamide in the framework of the maximum residue levels (MRLs) review under Article 12 of Regulation (EC) No 396/2005 as not available. …”
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Photogrammetric data analysis for fortified architecture. Survey of currently disused structures by G. Gioioso, L. Corniello

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Data-Driven Social Security Event Prediction: Principles, Methods, and Trends by Nuo Xu, Zhuo Sun

“…The advent of data-driven approaches has revolutionized the prediction of these events, offering new theoretical insights and practical applications. …”
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MATHEMATICAL MODEL OF RESOURCE DISTRIBUTION OF THE COMPUTING CLUSTER OF CLOUD DATA CENTERS by V. P. Mochalov, G. I. Linets, N. Y. Bratchenko, I. S. Palkanov

“…Therefore, the solution of the problem of distribution and load balancing is considered in the form of the following stages: optimal distribution of software applications across virtual machines, distribution of virtual machines across the servers of a data center cluster, and the construction of an algo scheme.…”
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BanglaTaka: A dataset for classification of Bangladeshi banknotesMendeley Data by Md. Naimul Islam Nuhash, Sadia Akter

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On-demand multi-hop forwarding for sustainable vehicular data transfer network by Ayoub el Bendali, Anis Ur Rahman, Asad Waqar Malik, Muazzam Ali Khan, Sri Devi Ravana

“…With the extensive deployment of Internet of things devices, unprecedented growth in data has lead to capacity and transfer issues. In this article, we proposed an efficient data transfer mechanism based on self-sustainable networks over the vehicular environment. …”
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A Secure and Efficient Data Aggregation Framework in Vehicular Sensing Networks by Suguo Du, Peng Tian, Kaoru Ota, Haojin Zhu

“…Vehicular ad hoc networks support a wide range of promising applications including vehicular sensing networks, which enable vehicles to cooperatively collect and transmit the aggregated traffic data for the purpose of traffic monitoring. …”
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Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria by Yusuf Mansour, Ajoy Savio Fernandes, Kiran Somasundaram, Tarek Hefny, Mahsa Shakeri, Oleg V. Komogortsev, Abhishek Sharma, Michael J. Proulx

“…This paper will discuss the systems in place and technical steps we have taken to enable eye tracking for the project, and select lessons learned in the process. This large-scale data collection tool and open source eye tracking model will enable advances in mobile and pervasive eye tracking to understand nuances in eye movements and various future AI and eye-tracking applications.…”
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An Energy-Efficient and Scalable Secure Data Aggregation for Wireless Sensor Networks by Taochun Wang, Xiaolin Qin, Liang Liu

“…Since many applications require data privacy, we need to take security into consideration. …”
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A Guide to Basic RNA Sequencing Data Processing and Transcriptomic Analysis by Rowayna Shouib, Gary Eitzen, Rineke Steenbergen

“…RNA sequencing (RNA-Seq) has transformed transcriptomic research, enabling researchers to perform large-scale inspection of mRNA levels in living cells. With the growing applicability of this technique to many scientific investigations, the analysis of next-generation sequencing (NGS) data becomes an important yet challenging task, especially for researchers without a bioinformatics background. …”
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Impact of data bias on machine learning for crystal compound synthesizability predictions by Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei

“…This study reveals how inconsistent, unbalanced data can propagate bias, undermining real-world applicability even for advanced machine learning techniques.…”
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