Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring by Kaoru Hatano, Tomohiro Takata, Mineki Takechi, Akane Wada, Hirohisa Taniguchi, Yuichi Tamura

“…For all waves, the mean and standard deviation of the difference between the algorithm and the expert analysis was 0.5 (±16), and that of the difference between the DSC5500 and the expert analysis was −16.4 (±42.8). …”
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Using Simulation Modeling to Estimate Time Characteristics of a Distributed Computing System by G. A. Zvonareva, D. S. Buzunov

“…Special attention have to be pointed towards evaluating time spent by requests in queues and effects of prioritization algorithms on it.To evaluate computing system’s time characteristics different modeling methods can be used, most effective of which is simulation modeling. …”
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Investigating the impact of fatty acid profiles on biodiesel lubricity using artificial intelligence techniques by Atthaphon Maneedaeng, Attasit Wiangkham, Atthaphon Ariyarit, Anupap Pumpuang, Ekarong Sukjit

“…Biodiesel lubricity is a crucial factor influencing engine performance and longevity, primarily determined by its fatty acid composition. This study evaluates the tribological properties of biodiesel derived from 15 different feedstocks using High-Frequency Reciprocating Rig (HFRR) tests, 3D-laser microscopy, Scanning Electron Microscopy (SEM), and Energy-Dispersive X-ray Spectroscopy (EDS). …”
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Cross-modal adaptive reconstruction of open education resources by Tang Shengju, Feng Li, Zhan Wang, Xie Zhaoyuan

“…Our approach employs contrastive learning (a technique for similarity learning) with an enhanced algorithm. It achieved high accuracy (F1-score = 0.912) in multimodal understanding, significantly outperforming baselines (+ 33.7%). …”
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Development of Advanced Positioning Techniques of UWB/Wi-Fi RTT Ranging for Personal Mobility Applications by Harris Perakis, Vassilis Gikas, Günther Retscher

“…An analysis of the performance of these techniques for ranging the positioning estimation using different fusion algorithms is assessed. The methodology applied for CP leverages the hybrid nature of the range measurements obtained by UWB and Wi-Fi RTT systems. …”
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An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. …”
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THE METHOD OF GEOMETRIC CALIBRATION OF OPTOELECTRONIC SYSTEMS BASED ON ELECTRONIC TEST OBJECT by D. A. Kozhevnikov, R. V. Feodortsau

“…Designing remote sensing of the Earth devices is requires a lot of attention to evaluation lens distortion level and providing the required accuracy values of geometric calibration of optoelectronic systems at all. …”
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Association between Radiological Response after Locoregional Treatment and Histopathological Findings in Patients Undergoing Liver Transplant for Hepatocarcinoma by Mohamed Hassin Mohamed Chairi, Ana Belén Vico Arias, Natalia Zambudio Carroll, María Trinidad Villegas Herrera, Jesús María Villar del Mora

“…Introduction: Liver Imaging Reporting and Data System treatment response (LR-TR) algorithm have been developed to evaluate response after locoregional therapy (LRT) in patients with hepatocellular carcinoma (HCC). …”
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Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model by Bin Yuan, Hui Li, Xuewei Xiang, Hao Zhou

“…Combined with the physical analytical model of mechanical power and friction, a data-model driven precise model is established, enabling quantitative evaluation of the cycle energy consumption with different PMSM design schemes; then, taking cycle operating energy consumption and peak torque as optimization objectives, the optimal Latin hypercube sampling method is employed to generate finite element optimization data samples. …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…We train PROTEGE on images from the MeerKAT Galaxy Cluster Legacy Survey, leveraging the self-supervised deep learning algorithm Bootstrap Your Own Latent to find a low-dimensional representation of the radio galaxy cutouts. …”
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Presenting an Order-Aware Multimodal Fusion Framework for Financial Advisory Summarization With an Exclusive Video Dataset by Sarmistha Das, Samrat Ghosh, Abhisek Tiwari, R. E. Zera Marveen Lynghoi, Sriparna Saha, Zak Murad, Alka Maurya

“…Through extensive experimentation and human evaluation, we demonstrate the efficacy of FinMSG in producing high-quality financial summaries while also investigating the interplay between different modalities. …”
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Cost-Effectiveness of Automated Digital Microscopy for Diagnosis of Active Tuberculosis. by Swati Jha, Nazir Ismail, David Clark, James J Lewis, Shaheed Omar, Andries Dreyer, Violet Chihota, Gavin Churchyard, David W Dowdy

“…We considered costs and effectiveness of different algorithms for automated digital microscopy, including as a stand-alone test and with confirmation of positive results with Xpert MTB/RIF ('Xpert', Cepheid, Inc.). …”
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Intelligent production adjustment early warning for shale gas wells based on fuzzy logic control by HE Chunyan, ZHAO Yong, LI Nanying, YANG Jian, CAO Haitao, TANG Ronglin

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Individual tree detection from unmanned aerial vehicle (UAV) derived point cloud data in a mixed broadleaf forest using hierarchical graph approach by Seyed Ali Ahmadi, Arsalan Ghorbanian, Farshad Golparvar, Ali Mohammadzadeh, Sadegh Jamali

“…The source code of the proposed algorithm can be found at https://github.com/Seyed-Ali-Ahmadi/Graph-based_ITCD.…”
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Interdisciplinary model of patient care for groups at risk for malignant tumors of the skin by M. A. Ufimtseva, A. S. Shubina, V. V. Petkau, N. L. Struin, D. E. Emel'janov, E. A. Levchenko

“…Development, implementation and evaluation of the effectiveness of an interdisciplinary model for managing patients at risk for malignant skin tumors.Materials and methods. …”
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Monte carlo study of the effect of collimator thickness on T-99m source response in single photon emission computed tomography by Jalil Islamian, Mohammad Taghi Toossi, Mahdi Momennezhad, Seyyed Zakavi, Ramin Sadeghi, Michael Ljungberg

“…The current study is an evaluation of the effects of different thicknesses of a low-energy high-resolution (LEHR) collimator on tomographic spatial resolution in SPECT. …”
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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

“…This study proposed a machine learning-based anomaly detection approach for smart homes using different classifiers. Testing and evaluation are performed using the University of New South Wales (UNSW) BoT IoT dataset. …”
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Occlusion mapping reveals the impact of flight and sensing parameters on vertical forest structure exploration with cost-effective UAV based laser scanning by Matthias Gassilloud, Barbara Koch, Anna Göritz

“…We conducted 44 flights with a DJI Matrice 300 RTK UAV and a DJI Zenmuse L1 LiDAR sensor, with different combinations of flight speed, azimuthal flight directions, sensor tilt angles, and scan patterns. …”
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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…More accurate tracking and lower identity switches make this algorithm more suitable to be used in the field of autonomous driving. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…This study proposes a systematic framework, termed VMD-RUN-Seq2Seq-Attention, for noise reduction, outlier detection, and wind speed prediction by integrating Variational Mode Decomposition (VMD), the Runge–Kutta optimization algorithm (RUN), and a Sequence-to-Sequence model with an Attention mechanism (Seq2Seq-Attention). …”
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