Driving Factors and Future Trends of Wildfires in Alberta, Canada by Maowei Bai, Qichao Yao, Zhou Wang, Di Wang, Hao Zhang, Keyan Fang, Futao Guo

“…This study analyzed the relationship between climate and wildfire and used a random forest algorithm to predict future wildfire frequencies in Alberta, Canada. …”
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Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest by Antonio Herreros-Martínez, Rafael Magdalena-Benedicto, Joan Vila-Francés, Antonio José Serrano-López, Sonia Pérez-Díaz, José Javier Martínez-Herráiz

“…A univariate analysis is performed using the z-Score index and the DBSCAN algorithm, while multivariate analysis employs k-Means clustering and Isolation Forest algorithms. …”
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Relocation of Moderate-to-small Earthquakes in and Around Hainan Island by Yunfei GUO, Jianshe LEI, Penghu GUAN

“…The double-difference algorithm was used for relocation, and eventually, the high-quality source parameters of 313 earthquakes were obtained. …”
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Freeing P300-Based Brain–Computer Interfaces From Daily Recalibration by Extracting Daily Common ERPs by Dojin Heo, Sung-Phil Kim

“…Then, we developed a method to extract daily common ERP patterns from observed ERP signals using the sparse dictionary learning algorithm. We applied this method to the RF decoder and retested the BCI performance over days. …”
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An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling by Basak Esin Kokturk-Guzel

“…Although this accuracy may seem modest, it is significant given the high number of classes, the hierarchical nature of the label tree, and the challenging presence of cropped or partially visible products in images, all of which naturally increase the error rate. …”
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Association between types of surgery and cancer-specific death in patients with early differentiated thyroid carcinoma: a real-world study by Jia-wei Yu, Rui Pang, Bo Liu, Liang Zhang, Ling-yu Kong

“…We also used the machine learning algorithm to evaluate the importance of types of surgery on long-term outcomes.ResultsA total of 7,230 patients were enrolled, of whom 1,512, 249, and 5,469 patients received Surgery 1, Surgery 2, and Surgery 3, respectively. …”
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Model of a Photovoltaic Module for the MatLab/Simulink SimPowerSystems Library by D. I. Zalizny

“…The model solved the problems of the algorithm stability for calculating algebraic cycles by introducing constraint the current and the voltage parameters. …”
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Analysis of artificial intelligence-discovered patterns and expert-designed aging patterns for 0.2 % proof stress in Ni-Al alloys with γ – γ' two-phase structure by Vickey Nandal, Sae Dieb, Dmitry S. Bulgarevich, Toshio Osada, Toshiyuki Koyama, Satoshi Minamoto, Masahiko Demura

“…In our recent investigation, we found that the AI algorithm could propose aging patterns with superior strength compared to conventional isothermal aging heat treatment. …”
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Confirmation of the reported association of clonal chromosomal mosaicism with an increased risk of incident hematologic cancer. by Ursula M Schick, Andrew McDavid, Paul K Crane, Noah Weston, Kelly Ehrlich, Katherine M Newton, Robert Wallace, Ebony Bookman, Tabitha Harrison, Aaron Aragaki, David R Crosslin, Sophia S Wang, Alex P Reiner, Rebecca D Jackson, Ulrike Peters, Eric B Larson, Gail P Jarvik, Christopher S Carlson

“…Chromosomal abnormalities provide clinical utility in the diagnosis and treatment of hematologic malignancies, and may be predictive of malignant transformation in individuals without apparent clinical presentation of a hematologic cancer. …”
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network by Can Liu, Peng He, Ru Qiao, Xiaoyan Yang, Changsong Ding, Fuyuan He

“…Thus, identifying ferroptosis-related genes may offer novel insights for LUAD therapy. In this study, we employed the random walk with restart (RWR) algorithm on the LUAD protein-protein interaction (PPI) network to predict ferroptosis-related target genes. …”
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Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems by Atena Jalali Mojahed, Mohammad Hossein Moattar, Hamidreza Ghaffari

“…In this paper, considering that classes may be multimodal, the distribution of each class is assumed in the form of a mixture of multivariate Gaussian densities. …”
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A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings by Kapil Tomar, Chandra Mani Sharma, Tanisha Prasad, Vijayaraghavan M. Chariar

“…With a test score of 98.8%, the Decision Tree (DT) algorithm outperformed other algorithms, according to the results. …”
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Ecological Identity and Social Representation of Green MSMEs: Ergo-Iconic Value, Performativity, and Representational Resistance in the Platform Economy by Andriyansah Andriyansah

“…The findings reveal three dominant patterns: (1) the symbolization of ergo-iconic value, combining tangible ecological practices with aesthetic visualizations as symbolic capital; (2) performative and algorithm-driven sustainability, where content is crafted to attract visibility within a competitive platform ecosystem; and (3) representational resistance, where certain MSMEs choose to highlight complex ecological processes that may not be “Instagrammable” but are instead educational and contextually grounded. …”
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A Matheuristic Approach Based on Variable Neighborhood Search for the Static Repositioning Problem in Station-Based Bike-Sharing Systems by Julio Mario Daza-Escorcia, David Álvarez-Martínez

“…The algorithm was tested in instances based on real-world data and could find good solutions in reasonable computing times.…”
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Problems and Prospects of Regulating Relations within a Deal Effected with Participation of Artificial Intelligence by D. A. Kazantsev

“…To solve the issue of responsibility for the decisions resulting from the implementation of algorithms of a software and hardware package, we propose several models of distributing such responsibility among its creator, owner, and other persons, whose actions might influence the results of such an algorithm functioning. …”
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Bioinformatics analysis and identification of underlying biomarkers potentially linking allergic rhinitis and autophagy by Tao Zhou, Hua Cai, Lisha Wu, Jianjun Chen, Liuqing Zhou, Jun Liu

“…Recent studies have shown that autophagy may regulate airway inflammation. Our comprehension of autophagy and its molecular mechanism in the field of AR condition remains incomplete. …”
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Improvements in the randomness and security of digital currency using the photon sponge hash function through Maiorana–McFarland S-box replacement by Mohammed Asmaa A., Rahma Abdul Monem S., AbdulWahab Hala Bahjat

“…Trading digital currencies via the Internet may be vulnerable to theft and forgery due to the development of hacker programs. …”
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Assessing the interactions between time series signals using weighted horizontal visibility graphs by Arya Teymourlouei, James Reggia, Rodolphe Gentili

“…The visibility graph algorithm is used to map recorded time series signals to complex networks. …”
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Hip arthroscopy for Legg-Calvè-Perthes disease in paediatric population by Ulunay Kanatli, Tacettin Ayanoglu, Mustafa Ozer, Muhammet Baybars Ataoglu, Mehmet Cetinkaya

“…It is thought that hip arthroscopy, a minimally invasive procedure, may have an important role in the algorithm of LCPD treatment, especially in patients with severe pain and mechanical symptoms. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

“…We demonstrate the capabilities of the algorithm through benchmark test functions and a typical density‐dependent coastal groundwater management problem.…”
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