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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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…In contrast, river researchers have had few applications in multiclass and multilabel algorithm, associate rule and Naïve Bayes. The current article proposes an end‐to‐end workflow of ML applications in river research in order to tackle major ML challenges, including four steps: (1) data collection and preparation; (2) model evaluation and selection; (3) model application; and (4) feedback loops. …”
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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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Calibration and Validation of Phase One Industrial Cameras by R. Ladstädter, K. Gutjahr, R. Perko, H. Woschitz

“…Although correctness and quality of the Phase One calibration workflow could be confirmed, small but significant differences exist and can only be explained using various hypothesis e.g. about the influence of different environmental conditions during calibration. …”
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GrotUNet: a novel leaf segmentation method by Hongfei Deng, Hongfei Deng, Bin Wen, Bin Wen, Cheng Gu, Yingjie Fan

“…Compared with UNet++, GrotUNet improves the key evaluation metrics (SBD) by 0.57%, 0.30%, and 0.27%, respectively.…”
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Rudraksh: A compact and lightweight post-quantum key-encapsulation mechanism by Suparna Kundu, Archisman Ghosh, Angshuman Karmakar, Shreyas Sen, Ingrid Verbauwhede

“…We have done a scrupulous and extensive analysis and evaluation of different design elements, such as polynomial size, field modulus structure, reduction algorithm, and secret and error distribution of an LWE-based KEM. …”
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Generating MODIS hourly land surface temperature under clear sky conditions using Fourier series analysis by Hadi Zare Khormizi, Mohammad Jafari, Hamidreza Ghafarian Malamiri, Ali Tavili, Hamidreza Keshtkar

“…The developed Fourier series model was evaluated using hourly LST data from Meteosat-9 and ground surface soil temperature data at eight different Ameriflux sites. …”
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Seismic Performance Assessment of Optimal Tandem-Based Tuned Mass Damper Inerters by Maziar Fahimi Farzam, Shahram Ajori, Himan Hojat Jalali, Rim Najmeddine

“…The optimum design of all the studied configurations was determined by the particle swarm optimization (PSO) algorithm. The evaluation of the performances included the effectiveness in the frequency domain and that of the norm and maximum reduction in the displacement and absolute acceleration in the time domain under 21 earthquake records with different characteristics. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. …”
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