Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

“…ABSTRACT Automating mineral delineation and rock type analysis using remote sensing imaging data is a critical application of machine learning. …”
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A robust implicit Jungck iterative scheme: stability, data dependency, and applications to nonlinear integral equations by Kapil Kumar, Hind Alamri, Vivek Kumar, Faik Gürsoy, Ioannis K. Argyros, Nawab Hussain

“…Deriving sharper estimates for data dependence, ensuring greater accuracy. Theoretical analysis within the weak w2-stability framework is supported by numerical experiments, including boundary value problems, confirming the scheme’s enhanced stability and efficiency. …”
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Combining real-world data with randomized controlled trials results in better information oncology decision making by T. A. Usmanova, E. V. Verbitskaya

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Built environment and residential blocks carbon emissions: a study using advanced metering infrastructure data by Xiaoping Zhang, Xiaoping Zhang, Zixuan Cui, Chaoxian Feng, Xin Wen, Huabin Xiao, Jianbo Ni

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Improving Multi-Label Emotion Classification on Imbalanced Social Media Data With BERT and Clipped Asymmetric Loss by Sandhya Ramakrishnan, L. D. Dhinesh Babu

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Exploring Global Interest in Propolis, Nanosilver, and Biomaterials: Insights and Implications for Dentistry from Big Data Analytics by Magdalena Sycińska-Dziarnowska, Liliana Szyszka-Sommerfeld, Krzysztof Woźniak, Gianrico Spagnuolo

“…The objective is to evaluate temporal variations, quantify correlations between the terms, and explore how external events, such as the COVID-19 pandemic, have influenced public and clinical interest in these topics. Search data were extracted, normalized, and analyzed using multivariate time series methods, including vector autoregression (VAR) modeling, Impulse Response Function (IRF) analysis, and forecast error variance decomposition (FEVD). …”
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Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things by Sultan Basudan, Abdulrahman Alamer

“…Data owners are increasingly drawn to outsource their data due to the massive processing capabilities and scalable storage offered by cloud-based Internet of Things (IoT) solutions. …”
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Exploitation of OCO-3 Satellite Data to Analyse Carbon Dioxide Emissions from the Mt. Etna Volcano by Vito Romaniello, Gaetana Ganci

“…Etna volcano. While OCO-3 data are well-suited for gas analysis on a regional spatial scale, they have not yet been widely utilised for studying volcanic carbon dioxide emissions. …”
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Identifying unimodal finite mixture models in data sets using distribution shifting – A novel approach by Paul Allen Williams, Emily K. Roberts, Quynh-Anh Nguyen, Kamal Rahmouni

“…However, if the number data distribution is represented by more than one distribution, the transformed function can result in deformation of the volume distribution and possibly the appearance of additional modes as compared to a single distribution. …”
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Implementation of an Image Tampering Detection System with a CMOS Image Sensor PUF and OP-TEE by Tatsuya Oyama, Manami Hagizaki, Shunsuke Okura, Takeshi Fujino

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Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

“…The method was developed within the information-extreme intelligent data analysis technology framework to maximize the system’s information capacity during machine learning. …”
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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…Therefore, the data analysis requires additional effort to reduce the overall problems in sports rehabilitation. …”
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NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region by Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nadia Ouaadi, Nicolas Baghdadi, Mehrez Zribi

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Impact of the COVID-19 pandemic on incidence of psychiatric disorders using nationwide cohort data and ARIMA models by Jun Ho Seo, Myeongjee Lee, Sunghyuk Kang, Se Joo Kim, Inkyung Jung, Jee In Kang

“…We calculated incidence rate ratios pre- and during-pandemic and employed the autoregressive integrated moving average (ARIMA) model and interrupted time-series analysis to assess pandemic effects on incidence. Additionally, to determine the immediate impact of the pandemic on the observed incidence rates, we used level changes at the transition point by adopting a transfer function. …”
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Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

“…Dehui City in Jilin Province, China, was selected as the case study area, where multidimensional data including vegetation indices, ecological function parameters, and environmental variables were collected, covering seven key growth stages of rice. …”
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LONG-TERM RETENTION RATE OF CERTOLIZUMAB PEGOL IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS: DATA FROM THE TURKBIO REGISTRY by Ahmet Karataş, Yavuz Pehlivan, Servet Akar, Soner Şenel, Aslıhan Avanoğlu Güler, Özgül Soysal Gündüz, Ayten Yazıcı, Sema Yılmaz, Rabia Pişkin Sağır, Nevsun İnanç, Gözde Yıldırım Çetin, Mehmet Pamir Atagündüz, Fatoş Önen

“…Patients who discontinued CZP had significantly higher health assessment questionnaire, bath ankylosing spondylitis (AS) functional index, and bath AS disease activity index values compared to those who continued with CZP. …”
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Epidemiology of Spinal Cord Injury in British Columbia, Canada: 20 Years of Population-Based Administrative Data by Michael Bond, Aidan Beresford, Vanessa Noonan, Naama Rotem-Kohavi, Marcel Dvorak, Brian Kwon, Guiping Liu, Jason M. Sutherland

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Breaking Through GNSS Outage: Advanced Stochastic Model for MEMS IMU in Navigation by Ahmed Shahrawy, Mahmoud A. Shawky, Adel M. Soliman, Wali Ullah Khan, Ahmad Almogren, Ahmed G. Abdellatif, Syed Tariq Shah

“…Three extended Kalman filter (EKF) INS/GNSS integrated navigation algorithms are implemented based on ACF analysis and GMWM-based model selection. A 15-state algorithm based on a <inline-formula><tex-math notation="LaTeX">$1{\text{st}}$</tex-math></inline-formula> order Gauss-Markov (GM) estimated by ACF, a 45-state algorithm based on ADIS IMU data, and a 57-state algorithm based on Spatial IMU data are compared. …”
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Quantitative proteomic data of flotillin-2 interactome within detergent resistant membranes of HeLa cells by Anita Hryniewicz-Jankowska, Michał Tracz, Ilona Opiełka, Katarzyna Augoff, Aleksander Czogalla, Aleksander F. Sikorski

“…Flotillin-binding protein networks serve as scaffolds, organizing lipid rafts and facilitating the recruitment of other raft-associated proteins such as receptors and downstream signaling molecules to regulate various intracellular pathways, including those involved in cell proliferation, migration, and endocytosis.Flotillins belong to the SPFH (stomatin/prohibitin/flotillin/HflK/C) domain-containing protein family, also known as the prohibitin homology (PHB) domain, which enables membrane association via acylation and hydrophobic hairpin motifs that anchor them to the inner leaflet of the plasma membrane. The functional diversity of flotillin proteins within membrane microdomains primarily stems from their interactions with other proteins.Data presented in this article characterize the proximal interactome of flotillin-2 within detergent-resistant membranes (DRMs) using BioID, a proximity-dependent biotinylation technique. …”
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Electrical modelling of a grid-connected battery energy storage system via EMS and BMS data by Mirko Ledro, Jan Martin Zepter, Morten Paludan, Mattia Marinelli

“…The subject of the investigation is a 300kW/652kWh Nickel-Manganese-Cobalt (NMC) Li-ion BESS composed of ten racks, each equipped with a PCS and ten battery modules. The analysis proves the feasibility of modelling the grid-connected BESS via data from EMS and BMS. …”
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