Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

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Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…Firstly, the limited adoption of open science practices restricts the creation of large datasets and hinders reproducibility and transparency. Secondly, research efforts are concentrated within limited institutions, focusing on certain research questions, algorithms, raw materials, and use-wear traces. …”
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Continuum Robots: Current Trends in Design, Control, and Applications by Marina Kalekeyeva, Zarina Konakbay, Meiramgul Imanbekova, Aliya Shakbutova, Olga Garmash, Gulzhan Muratbekova, Doszhan Mambetalin

“…The presence of a multi-segmented and malleable structure makes continuum robot (CR) promising for use in medicine, industry, space, and deep-sea research. This trend encourages researchers worldwide to create fundamentally new types of continuously deformable CR structures suitable for various applications and delicate manipulations. …”
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Region search based on hybrid convolutional neural network in optical remote sensing images by Shoulin Yin, Ye Zhang, Shahid Karim

“…And region is regarded as the very important object in remote sensing data, which is mainly researched in this article. Region search is a crucial task in remote sensing process, especially for military area and civilian fields. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. …”
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The Evaluation of Radiolabeled Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Initial Staging in Intermediate-Risk Prostate Cancer Patients... by Laura Evangelista, Priscilla Guglielmo, Giulia Giacoppo, Lucia Setti, Demetrio Aricò, Lorenzo Muraglia, Katia Marzo, Nicolò Buffi, Vittorio Fasulo, Marcello Rodari, Jelena Jandric, Antonio Salvaggio, Manuela Bonacina, Massimo Lazzeri, Giovanni Lughezzani

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Multi-objective Predictive Control of Gas Turbine System Based on T-S Fuzzy Model by Guolian HOU, Xiaoyan DAI, Linjuan GONG, Haixin XU, Jianhua ZHANG

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Old Wine in New Wineskins: Applying Computational Methods in New Testament Hermeneutics by Christian Houth Vrangbæk, Eva Elisabeth Houth Vrangbæk, Jacob Mortensen

“…The article is structured into three main parts. The first part (1) introduces the reader to the field of computational studies in literary, historical, and religious research areas and outlines the computational methods, namely topic modelling and word embedding. …”
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Modern Bioinformatics Solutions Used for Genetic Data Analysis by Ya. A. Kibirev, A. V. Kuznetsovskiy, S. G. Isupov, I. V. Darmov

“…The research method is an analysis of scientific sources from the general to the specific. …”
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Computational Thinking in Elementary School Students: A Bibliometric Review by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni

“…The analysis used specific metrics, including publication trends, citation analysis, and identifying leading research areas. Data is drawn from leading academic databases and analyzed to track the progress and impact of CT research over time. …”
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Dynamic Skin: A Systematic Review of Energy-Saving Design for Building Facades by Jian Wang, Shengcai Li, Peng Ye

“…The construction industry is one of the main areas of energy consumption and carbon emissions, and strengthening research on the thermal performance of building facades can effectively promote energy conservation and emission reduction. …”
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Contributions to the Development of Tetrahedral Mobile Robots with Omnidirectional Locomotion Units by Anca-Corina Simerean, Mihai Olimpiu Tătar

“…The conclusions of the paper summarize the main findings of the research and emphasize the significant progress made from the first to the second prototype. …”
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Clinical Recommendations on Emergency Medical Care Rendering to Children with Acute Intoxication by A. A. Baranov, S. F. Bagnenko, L. S. Namazova-Baranova, Y. S. Alexandrovich, K. V. Pshenisnov, E. A. Alexeyeva, L. R. Selimzyanova

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Sleep Snoring Sound Recognition Based on Wavelet Packet Transform by Li Ding, Jianxin Peng, Xiaowen Zhang, Lijuan Song

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Methodical approaches to the economic assessment of costs in the operation of cars with axial load of 27 tons at the section Kachkanar—Smychka by G. A. Granovskaya, A. I. Safonova, O. A. Suslov, N. S. Okhotnikov

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ICESat-2 Performance for Terrain and Canopy Height Retrieval in Complex Mountainous Environments by Lianjin Fu, Qingtai Shu, Cuifen Xia, Zeyu Li, Xiao Zhang, Yiran Zhang

“…To achieve this, ICESat-2 ATL03 Version 6 photon data were processed using a novel adaptive DBSCAN algorithm (BDT-ADBSCAN) in Pu’er City, China, a biodiversity hotspot, and results were validated against airborne LiDAR. …”
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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…However, existing speed optimization models mainly focus on urban signal-controlled intersections or expressway weaving zones, neglecting research on speed optimization in expressway tunnel entrances. …”
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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…The measurement tools are mainly single machine version， which is difficult to meet the current requirements for improving drilling quality and efficiency. …”
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Separable Reversible Data Hiding in Encrypted 3D Mesh Models Based on Spatial Clustering and Multi-MSB Prediction by Y. Mao, Y. Xu

“…Reversible data hiding in the encrypted domain (RDH-ED) involves performing data encryption to protect privacy and hiding data for covert communication or access control. Current research mainly focuses on exploring spatial correlation of adjacent vertices and local spatial correlation to reserve embedding space, while ignoring global spatial correlation, limiting embedding capacity. …”
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