Adversarial attacks dataset for low light image enhancementMendeley Data by Axel Martinez, Matthieu Olague, Gustavo Olague, Emilio Hernandez, Julio Cesar Lopez-Arredondo

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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…This achievement has proposed an innovative solution for the field of image retrieval and demonstrated the broad application potential of data mining technology in image understanding.…”
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Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets by Y. Li, L. Huo, W. Zhu, P. Bao, M. Zhang, B. Li

“…The results show that this method integrates the expression of digital pipeline element models and data, solves the problems of silos, redundancy and conflicts of heterogeneous models and data from multiple sources, ensures the integrity of the attributes of the models and data elements, and promotes the structured expression and application of the models and data.…”
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Data-driven model discovery and model selection for noisy biological systems. by Xiaojun Wu, MeiLu McDermott, Adam L MacLean

“…We demonstrate the potential to learn models from sparse, noisy data in application to a canonical cell state transition using data derived from single-cell transcriptomics. …”
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A Review of Data-Driven Models for Electromagnetic Devices Design and Analysis by Zihan Li, Mengyu Cheng, Andy Tyrrell, Xing Zhao

“…This review, focusing on recent deep learning advances, presents a comprehensive review on the application of data-driven models in the design and optimization of electromagnetic devices, summarizing the statistical models such as Response Surface Methodology (RSM) and recent popular machine learning (ML) methods in handling multiple variables, as well as the deep learning (DL) models, in predicting various electromagnetic device parameters and optimizing electromagnetic models. …”
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Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm by Milica Brkić, Stefan Hačko, Miloš Radovanović, Vladimir Crnojević, Sanja Brdar

“…To address this, we introduce a novel application of the Data Fusion by Matrix Factorization (DFMF) algorithm for predicting crop yields using maize data from the 2019 Syngenta Crop Challenge. …”
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A Simulation of Contact Graph Routing for Mars–Earth Data Communication by Basuki Suhardiman, Kuntjoro Adji Sidarto, Novriana Sumarti

“…The barrier in communication develops delays caused by link propagation, so it needs a Delay Tolerant Network (DTN) for routing networks among the nodes (satellites and antennas), which is the concept of storing and forwarding data whenever the windows are open. We construct an efficient algorithm for CGR, which puts all objects into a general framework of numbered nodes, so that we can easily develop another application of a network with a larger number of nodes. …”
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Development of BIM Platform for Semantic Data Based on Standard WBS Codes by Dongwook Kim, Jose Matos, Son N. Dang

“…CEV is designed as a BIM viewer tailored for field staff and supervisors. This 4D BIM application showed strong connectivity through standardized WBS codes, allowing for automatic synchronization between object and schedule data.…”
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Garbage in garbage out? Impacts of data quality on criminal network intervention by Wang Ngai Yeung, Riccardo Di Clemente, Renaud Lambiotte

“…Consequently, we advocate for a more cautious application of network science in disrupting criminal networks, the continuous development of an interoperable intelligence ecosystem, and the creation of novel network inference techniques to address data quality challenges.…”
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Identification of iceberg-forming ice quakes from seismic and infrasound data by Yu. A. Vinogradov, A. V. Fedorov, S. V. Baranov, V. E. Asming, I. S. Fedorov

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Voxel-based vegetation change detection using multi-source data by D. Acharya, B. Gorte, M. Zhang, D. Yang, W. Shi, S. Zlatanova, S. Zlatanova, M. Wachowicz

“…Detecting vegetation changes finds its application in several important areas, including city planning and urban science, climate change and ecological research. …”
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Weather Classification in West Java using Ensemble Learning on Meteorological Data by Cynthia Nur Azzahra, Yulison Herry Chrisnanto, Gunawan Abdillah

“…These findings demonstrate that the combination of stacking classifiers, SMOTE, and hyperparameter tuning effectively mitigates class bias and enhances model generalization, outperforming single-model classifiers in handling imbalanced weather data.…”
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Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

“…As of now, most TDA studies are related to the biological structure of the SARS-COVID-2 virus and there is no literature on TDA application with country-level COVID-19 data. Thus, our study aims to fill the gap by applying this novel method to find data patterns of COVID-19 spreads in selected thirteen representative countries on six continents of the world and compare results among them. …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

“…These estimators make InfoMat a valuable tool for uncovering hidden patterns in data analytics applications, encompassing neuroscience, finance, communication systems, and machine learning. …”
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Transmuted exponential-compound Weibull distribution for modelling of positively skewed data by Nnaemeka Martin Eze, Waheed Babatunde Yahya

“…The new model is characterized by a flexible structure ideal for analyzing positive data and featuring a hazard rate function that has bathtub shaped which makes it to offer more flexibility to solve the problem of elongation and asymmetry than the competing distributions. …”
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Predicting cancer risk using machine learning on lifestyle and genetic data by Mohamed Abdelmoaty Ahmed, Ahmed AbdelMoety, Asmaa Mohamed Ahmed Soliman

“…This study investigates the application of Machine Learning (ML) techniques to predict cancer risk based on a combination of genetic and lifestyle factors. …”
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Discussion on the Management of spatio-temporal Data Security for Intelligent Connected Vehicles by Y. Li, H. Zou, Q. Liao, H. Chen, L. Huang, L. Shi, J. Bai

“…This paper analyzes the significance of spatio-temporal data in ICVs and provides extensive application examples. …”
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Online ECG Biometrics for Streaming Data with Prototypes Learning and Memory Enhancement by Kuikui Wang, Na Wang

“…When confronted with streaming data, traditional batch-based methods require re-training on all the data once again, including both the newly arrived data and the previously trained data. …”
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Promoting sustainable and personalized travel behaviors while preserving data privacy by Cláudia Brito, Noela Pina, Tânia Esteves, Ricardo Vitorino, Inês Cunha, João Paulo

“…With this, three main challenges emerge: (i) increase users’ awareness regarding their carbon footprint, (ii) provide personalized recommendations and incentives for using sustainable transportation alternatives and, (iii) guarantee that any personal data collected from the user is kept private.This paper addresses these challenges by proposing a new methodology. …”
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Multimodal Issues and Key Technologies in Ocean Observation Data: A Review by Jie Nie, Zijie Zuo, Xinyue Liang, Min Ye, Ning Song, Xiaofeng Li

“…We systematically review recent studies leveraging multimodal ocean observation data, summarizing and discussing these works from the perspectives of application scenarios and technical methodologies. …”
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