A paired CT and MRI dataset for advanced medical imaging applicationsKaggle by Zakaria Shams Siam, Md Younus Akon, Israt Jahan Munmun, Abdullah Al-Amin, Md. Abdus Salam, Ishtiak Al Mamoon

“…This dataset is designed to function as a benchmark for researchers for developing sophisticated image-to-image translation methods and multimodal medical imaging algorithms. …”
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CLINICAL CASE OF A SUCCESSFULLY TREATED PATIENT WITH OPEN SEVERE PENETRATING CRANIOFACIAL INJURY by A. A. Kalinin, B. B. Sanzhin, V. Yu. Goloborodko, G. Yu. Levina

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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Point clouds from laser scanners have been widely used in recent research on indoor modeling methods. Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Reduction of electric energy consumption for heating passenger railway carriages by A. А. Kuznetsov, S. S. Gorobei

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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…To fill this gap, this research focuses on developing models to estimate the expected length of the shortest path of 3D-TSP. …”
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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Fine-grained factor mining used the K-means clustering algorithm to capture more detailed semantic topic-level edge factors from graph textual data. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…A bibliometric analysis was conducted to identify the current trends in the state of health estimation. This research specifically examines the potential of the convolutional neural network–long short-term memory algorithm to improve the precision of State of Health forecasts for the battery model. …”
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Application of T2 Control Charts and Hidden Markov Models in Condition-Based Maintenance at Thermoelectric Power Plants by Emilija Kisić, Željko Đurović, Branko Kovačević, Vera Petrović

“…In the present research, the acoustic signals were collected by coal mill monitoring at the thermoelectric power plant “Kostolac” in Serbia. …”
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Anthropological view of plague epidemics in the his­torical past by T.F. Khaydarov, D.A. Dolbin

“…They have remained unrevised despite the latest achievements in the research on the plague bacterium Yersinia pestis, the history of climate and medicine, and the extensive published data, making it of an interest to both reconsider certain established dogmas and reconstruct the algorithm of the course of major plague epidemics from the historical past using the results of the available paleogenetic, epidemiological, and climatological studies. …”
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Comparative Analysis of Dynamic and Steady State Performances of Hill Climbing and Incremental Conductance MPPT Controllers for PV Systems by Noussaiba Mennai, Ammar Medoued, Youcef Soufi

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Distributed Frequency Control of Heterogeneous Resources-Powered Islanded Microgrid with Enhanced Economic Operation by Tianhui Meng, Wei Zhang, Jilai Yu, Ying Xu, Zhongqin Cai

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On regression approach to forecasting passenger demand in railway transport by G. L. Venediktov, V. M. Kochetkov

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Adaptive Computing Resource Allocation for Mobile Cloud Computing by Hongbin Liang, Tianyi Xing, Lin X. Cai, Dijiang Huang, Daiyuan Peng, Yan Liu

“…One of the most critical research issues is how the cloud can efficiently handle the possible overwhelming requests from mobile users when the cloud resource is limited. …”
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IDENTIFIKASI CITRA UKIRAN ORNAMEN TRADISIONAL BALI DENGAN METODE MULTILAYER PERCEPTRON by I Gede Rusdy Mahayana Putra, Made Windu Antara Kesiman, Gede Aditra Pradnyana, I Made Dendi Maysanjaya

“…Based on these problems, the researchers have a solution to research about Balinese Ornament Carving Identification by utilizing digital image processing technology. …”
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Enhancing Three-Dimensional Reconstruction Through Intelligent Colormap Selection by Alexandros Vrochidis, Dimitrios Tzovaras, Stelios Krinidis

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Improved swin transformer-based thorax disease classification with optimal feature selection using chest X-ray. by Nadim Rana, Yahaya Coulibaly, Ayman Noor, Talal H Noor, Md Imran Alam, Zeba Khan, Ali Tahir, Mohammad Zubair Khan

“…Thoracic diseases, including pneumonia, tuberculosis, lung cancer, and others, pose significant health risks and require timely and accurate diagnosis to ensure proper treatment. Thus, in this research, a model for thorax disease classification using Chest X-rays is proposed by considering deep learning model. …”
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Current aspects of treatment and rehabilitation of patients with pharyngeal cancer by A. L. Kozhanov

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Autonomous air combat decision making via graph neural networks and reinforcement learning by Lin Huo, Chudi Wang, Yue Han

“…Abstract With the rapid advancement of technology, aerial interaction patterns have become increasingly complex, making intelligent air combat a prominent and cutting-edge research area in multi-agent systems. In this context, the dynamic and uncertain nature of large-scale air combat scenarios poses significant challenges, including scalability issues, computational complexity, and decision-making difficulties in multi-agent collaborative decision-making. …”
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation by Jie Yang, Juanjuan Hu, Wenrui Chen

“…A particle swarm optimization support vector machine (PSO-SVM) algorithm is utilized to classify motion patterns. …”
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