Zones Localization of Hazardous Geological Processes Habit of the Coastal Cliff According to 3D Seismotomography Sounding Data by Glazunov Vladimir Vasil'evich, Efimova Natal’ia, Zelikman Danil, Bukatov Andrei

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Revisiting the Nexus of Wages, Prices and Private Consumption in the EMU Period through Graphical Multivariate Panel Data Models by Celia Gil-Bermejo Lazo, Jorge Onrubia, Antonio Jesús Sánchez-Fuentes

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A comparative analysis of machine learning-based methods for impervious surface mapping using SAR and optical data by Siqi He, Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Zheng Wang, Xinyu Zou

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Data imputation in large and small-scale spatiotemporal time series gaps using BackForward Bi-LSTM by Alessandro Galdelli, Gagan Narang, Selene Tomassini, Lorenzo D’Agostino, Anna Nora Tassetti, Adriano Mancini

“…We evaluated the algorithm on a realistic marine and aerial dataset, considering missing data trajectories on vessels and flights with missing data rates ranging from 5% to 30%. …”
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Computer-assisted virtual preoperative planning in orthopedic surgery for acetabular fractures based on actual computed tomography data by Guang-Ye Wang, Wen-Jun Huang, Qi Song, Yun-Tian Qin, Jin-Feng Liang

“…PCS can provide accurate surgical plans and data support for actual surgeries.…”
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Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data by Elham Ilbeygi, Farzad Azadshahraki, Juan Ignacio Arribas, Yousef Abbaspour-gilandeh, Sajad Sabzi, Rouhollah Karimzadeh

“…Results showed that the best regression coefficient of the PLSR method in predicting chlorophyll a content using spectral data alone was 0.918. At the same time, the average determination coefficient over 20 repetitions in hybrid ANN-ABC in the estimation of chlorophyll a content, using spectral data and color features were higher than 0.92±0.040 and 0.89±0.045, respectively, which to our knowledge is a remarkable non-intrusive estimation result.…”
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Assessing urban spatial vitality in post-port areas: a multimodal data analysis of Shanghai, Liverpool, and Marseille by Chen Zeng, Tianchen DAI, Feng Wang, Jiangyue Wu

“…This research addresses this gap by developing and validating a big-data-driven theoretical framework to dynamically monitor spatial vitality in post-industrial port areas and evaluate the impact of regeneration strategies on a global scale. …”
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Physics-Based and Data-Driven Modeling of Degradation Mechanisms for Lithium-Ion Batteries—A Review by Pedro Lozano Ruiz, Nikolaos Damianakis, Gautham Ram Chandra Mouli

“…Lithium-ion batteries (LIB) are widely used in various applications. The LIB degradation curve and, most significantly, the knee-point and End-of-life (EoL) point identification are critical factors for the selection of the appropriate application, such as electric vehicles and stationary energy storage systems, due to their effect on performance and lifespan, safety, and environmental footprint. …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. …”
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The Impact of Digital Technology, Automation, and Data Integration on Supply Chain Performance: Exploring the Moderating Role of Digital Transformation by Ahmad Ali Atieh, Alhareth Abu Hussein, Saheer Al-Jaghoub, Ahmad Fathi Alheet, Murad Attiany

“…<i>Conclusions:</i> Theoretically, this study reinforces digital transformation theory as a vital framework, whereas in practice, it invokes the strategic deployment of automation and integrated data application designs to underpin supply chain efficiency and competitiveness. …”
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Physics-Based and Data-Driven Retrofitting Solutions for Energy Efficiency and Thermal Comfort in the UK: IoT-Validated Analysis by Elena Imani, Huda Dawood, Sean Williams, Nashwan Dawood

“…The proposed hybrid methodology utilises physics-based and data-driven methods to evaluate a range of retrofitting scenarios across diverse UK climate zones and validates an automated dataset with real-time data collected via IoT (Internet of things)-based sensors. …”
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Evaluation of an environmentally friendly behavior scale among Indonesian university students using the Rasch modelMendeley Data by Rahmad Muliadi, Ratna Jatnika, Yuliana Hanami, Made Syanesti Adishesa

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An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

“…Next, on the basis of the constructed GMM, the modal frequency data are normalized to extract damage features that remain unaffected by environmental variations. …”
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Innovative data augmentation strategy for deep learning on biological datasets with limited gene representations focused on chloroplast genomes by Mohammad Ali Abbasi-Vineh, Shirin Rouzbahani, Kaveh Kavousi, Masoumeh Emadpour

“…This study introduces a novel data augmentation strategy designed to facilitate the application of DL models to omics datasets. …”
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Deep Learning Utilization for In-Line Monitoring of an Additive Co-Extrusion Process Based on Evaluation of Laser Profiler Data by Valentin Lang, Christian Thomas Ernst Herrmann, Mirco Fuchs, Steffen Ihlenfeldt

“…Additive manufacturing is gaining importance in a number of application areas, and there is an increased demand for mechanically resilient components. …”
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m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise by Miguel Solarte-Sanchez, David Marquez-Viloria, Andrés E. Castro-Ospina, Erick Reyes-Vera, Neil Guerrero-Gonzalez, Juan Botero-Valencia

“…The spectral clustering algorithm was adapted to handle data streams, enabling potential real-time applications. …”
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Simultaneous 10 kHz PIV/OH-PLIF/chemiluminescence and conjoint data analysis approach for thermoacoustic oscillation near lean blowout by Zhen Cao, Wenbei Liu, Xin Yu, Bin Hu, Jiangbo Peng, PengHua Qiu, Chaobo Yang

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ORSO (Online Resource for Social Omics): A data-driven social network connecting scientists to genomics datasets. by Christopher A Lavender, Andrew J Shapiro, Frank S Day, David C Fargo

“…We have developed ORSO (Online Resource for Social Omics) as an easy-to-use web application to connect life scientists with genomics data. …”
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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…This paper presents a comparative analysis of machine learning models applied to stock price prediction using historical data from the Nasdaq stock index spanning the years 2015 to 2023. …”
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Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle. by Muhammad Usman Riaz, Luke O'Grady, Conor G McAloon, Finnian Logan, Isobel Claire Gormley

“…Dimension reduction techniques, such as principal component analysis (PCA) and functional principal component analysis (fPCA), offer solutions by reducing the dimensionality of the data while retaining key information and allowing for the application of a broader set of ML approaches. …”
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