Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…This paper introduces an innovative Decision Support System (DSS) for the local optimization of Electric Vehicles (EV) charging station placement, integrating open data with advanced operational research. In contrast to existing works that typically isolate economic, geographic, or routing factors, our approach synergistically incorporates demographic statistics (ISTAT), geographic data (OpenStreetMap), and commuting patterns to optimize infrastructure deployment. …”
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Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm. by Robert Darkins, Emma J Cooke, Zoubin Ghahramani, Paul D W Kirk, David L Wild, Richard S Savage

“…BHC is a general method for clustering any discretely sampled time series data. In this paper we focus on a particular application to microarray gene expression data. …”
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Prediction of formation pressure in underground gas storage based on data-driven method by SUI Gulei, FU Yujiang, ZHU Hongxiang, LI Zunzhao, WANG Xiaolin

“…Introducing the proportion of gas injection-production to screen pressure monitoring wells can improve the predictive performance of the data-driven model. Research shows that the purely data-driven method can directly interpret routine surface measurements to intuitive subsurface pressure parameters of UGS, which is very suitable for the field application of UGS.…”
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A Cloud-Computing-Based Data Placement Strategy in High-Speed Railway by Hanning Wang, Weixiang Xu, Futian Wang, Chaolong Jia

“…As an important component of China’s transportation data sharing system, high-speed railway data sharing is a typical application of data-intensive computing. …”
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Design of a Support System for Complicated Logistics Location Integrating Big Data by Yusi Cheng, Xinwei Pan

“…The system can be used to facilitate logistics network planning and to promote the application of big data in logistics.…”
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Optimization of dynamic data traceability mechanism in Internet of Things based on consortium blockchain by Rui Qiao, Sifeng Zhu, Qingxian Wang, Jie Qin

“…The mechanism has good application value while ensuring the dynamic data storage security.…”
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Technical efficiency evaluation of military hospitals in Iran using data envelopment analysis by mehdi sadidi, maghsoud amiri, Omid khalilifar, rouhalah moradi

“…The aim of this study was to evaluate the technical efficiency of military hospitals in Iran by applying a nonparametric method, Data Envelopment Analysis (DEA). Materials and methods: DEA's main advantages for health care application are its flexibility and versatility; it requires no information on relative prices, and can easily accommodate multiple inputs and outputs. …”
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Tight basis cycle representatives for persistent homology of large biological data sets. by Manu Aggarwal, Vipul Periwal

“…Persistent homology (PH) is a popular tool for topological data analysis that has found applications across diverse areas of research. …”
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Dataset of knowledge retention and learning satisfaction in patient–nurses safetyMendeley Data by Rose A. Nain, Deena Clare Thomas, Johari Daud Makajil, Rista Fauziningtyas

“…This dataset contains information on knowledge retention and learning satisfaction in the context of patient–nurse safety education. The data was collected through structured questionnaires administered to participants before and after implementing a safety-focused learning module. …”
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Integration of Blockchain and Artificial Intelligence in Healthcare: Enhancing Data Security and Operational Efficiency by Ma Tengyan

“…Since many studies related to the application of blockchain in the field of data security and artificial intelligence in medical diagnosis have been proposed, research on the integration of this new technology in the medical field is still required. …”
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Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics by Juan Tang

“…Entailing actual retail sales data, this work utilizes three regression models:—MLP Regressor, Ridge Regressor, and KNN Regressor to forecast sales. …”
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Data covering soil management practices and farm characteristics on Swiss arable farms by Charles Rees, Lorin Ineichen, Robert Finger, Christian Grovermann

“…Four core components are covered: (1) farm and farmer characteristics, including gender, age, experience, labour, farm size and Agri-environmental scheme participation; (2) detailed records of twelve arable soil management practices, including uptake extent, number of years used, perceived knowledge and peer adoption; (3) farmers’ priorities for soil health and their assessment of key agricultural challenges; and (4) production data for a subset of farms cultivating milling wheat, including wheat area, wheat yield and input application rates. …”
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Comparative analysis of Mixture-of-Agents models for natural language inference with ANLI data by Swathi Sowmya Bavirthi, Dama Pranati Sreya, Tanguturi Poojitha

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Applying machine learning to classify table olives using bacterial metataxonomic data by Elio López-García, Antonio Benítez-Cabello, Francisco Noé Arroyo-López

“…This approach holds potential applications in the table olive sector and in other food products, where the industrial application of ML techniques could enhance traceability, authenticity, and quality control.…”
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CutMAA: Motion-Aware Data Augmentation for Light Field Super-Resolution by Sojin Yun, Namhyuk Ahn, In Kyu Park

“…While deep learning-based methods have demonstrated impressive performance, their application is often hindered by the lack of sufficient training data. …”
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Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

“…This paper systematically explores various data shuffling methods, including random shuffling, stratified shuffling, K-fold shuffling, and coded shuffling, each with distinct advantages, limitations, and application scenarios. …”
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A comprehensive guide to study the agreement and reliability of multi-observer ordinal data by Sophie Vanbelle, Christina Hernandez Engelhart, Ellen Blix

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Experimental Study on Compressor-driven Loop Heat Pipe for Data Center Cooling by Wang Fei, Shao Shuangquan, Zhang Hainan

“…The annual energy efficiency ratio (AEER) is considerably higher than that of the conventional computer room air conditioning. The application of regional energy saving methods such as air cooling, water cooling, and evaporative cooling provide a new strategy for energy saving and emission reduction of modern data centers; 3) for air-conditioning in large data centers, the COP of magnetic bearing compressors exceeds 20, and results in higher energy-saving benefits. …”
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MIDAS: A Data Aggregation Scheduling Scheme for Variable Aggregation Rate WSNs by Jun Long, An He, Jinhuan Zhang, Hao Zhang

“…Data aggregation scheduling for variable aggregation rate model has wide application and should take network lifetime and energy efficiency into consideration. …”
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Big Data Analysis as a Source of Companies’ Competitive Advantage: A Review by Małgorzata Bartosik-Purgat, Milena Ratajczak-Mrozek

“… Objective: The main aim of the article is two-fold: firstly, to indicate the benefits to companies. which stem from the usage of Big Data Analysis (BDA), and secondly to conceptualise main general sources of competitive advantage that BDA affords. …”
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