Aortic atresia with complex aortic arch collateralization through the subclavian arteries by Saumya Kapoor, Thomas Knapp, Peace Madueme, Katherine T. Braley, Peter D. Wearden, Jennifer S. Nelson

“…He is currently being evaluated for heart transplantation due to his complex vascular anatomy.…”
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Efficient generalized estimators of population mean in the presence of non-response and measurement error by Sajjad M., Ismail M.

“…We derived the bias and mean square error expressions of the proposed estimators up to the first order of approximation. To evaluate the efficiency of the proposed estimators t and t , the percent relative efficiencies have been computed. …”
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Comprehensive Analysis of TCR and BCR Repertoires: Insights into Methodologies, Challenges, and Applications by Kayoung Seo, Jung Kyoon Choi

“…We compare the use of bulk and single-cell sequencing, discuss computational tools and pipelines, and evaluate the implications of examining specific receptor regions such as CDR3. …”
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Deep Learning Based on Facial Expression Recognition from Images to Videos by Deng Rui

“…Employing a combination of literature review and experimental analysis, this study evaluates existing facial expression recognition algorithms. …”
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CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting by Josef Koumar, Karel Hynek, Tomáš Čejka, Pavel Šiška

“…Abstract Anomaly detection in network traffic is crucial for maintaining the security of computer networks and identifying malicious activities. …”
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Research on power efficient autonomous UAV navigation algorithm: an edge intelligence driven approach by Chunmin LIN, Liekang ZENG, Xu CHEN

“…Autonomous drone navigation has received growing attention in the recent community.Compared with traditional navigation approaches which rely on location-based services highly, deep learning based visual methods have showed superior performance in self-adaption and generalization, which are a promising solution for autonomous navigation.Running the resource-hungry deep learning execution in the resource-constrained unmanned aerial vehicle (UAV), however, significant challenges were presented in power efficiency.To tackle this challenge, following the idea of edge intelligence, a deep reinforcement learning approach was introduced to dynamically configure the computational scale of the deep learning model on UAV and hence realize the autonomous navigation with low latency and high energy efficiency.Evaluations based on both simulation and real prototype experiments show that the proposed approach has the less energy consumption, longer navigation trail and higher obstacle avoidance rate.…”
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Permutation Entropy and Its Niche in Hydrology: A Review by Dragutin T. Mihailović

“…PE is distinguished by its simplicity, robustness, and exceptionally low computational cost, making it a benchmark tool for complexity analysis. …”
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Identification of Structural Damage in Bridges Using High-Frequency Vibrational Responses by Ivana Mekjavić

“…The structural damage model is assumed to be associated with a reduction of a contribution to the element stiffness matrix equivalent to a scalar reduction of the material modulus. The computational technique used to identify the damage from the measured data is described. …”
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NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning by Yang Yi Poh, Ethan Grooby, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Mehrtash Harandi, Faezeh Marzbanrad

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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…These findings provide theoretical guidelines for optimizing CMFD parameter selection in cylindrical geometries, ensuring convergence and computational efficiency.…”

DFAST_QC: quality assessment and taxonomic identification tool for prokaryotic Genomes by Mohamed Elmanzalawi, Takatomo Fujisawa, Hiroshi Mori, Yasukazu Nakamura, Yasuhiro Tanizawa

“…Existing tools for genome verification often involve extensive computational resources or lengthy processing times, which can limit their accessibility and scalability for large-scale projects. …”
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Intercomparison of Leaf Area Index Products Derived from Satellite Data over the Heihe River Basin by Pan Zhou, Liying Geng, Jun Li, Haibo Wang

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Prevalence and Determinants of Scabies Among Schoolchildren in Ethiopia: A Systematic Review and Meta‐Analysis by Abayeneh Girma, Indiris Abdu

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Non-Palpable Breast Cancer: A Targeting Challenge–Comparison of Radio-Guided vs. Wire-Guided Localization Techniques by András Drozgyik, Dániel Kollár, Levente Dankházi, István Á. Harmati, Krisztina Szalay, Tamás F. Molnár

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DIFshilling: A Diffusion Model for Shilling Attacks by Weizhi Chen, Xingkong Ma, Bo Liu

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Applications of Linear and Ensemble-Based Machine Learning for Predicting Winning Teams in League of Legends by Supratik Chowdhury, Mominul Ahsan, Phoebe Barraclough

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Extended Maximum Actor–Critic Framework Based on Policy Gradient Reinforcement for System Optimization by Jung-Hyun Kim, Yong-Hoon Choi, You-Rak Choi, Jae-Hyeok Jeong, Min-Suk Kim

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Coefficient-Shuffled Variable Block Compressed Sensing for Medical Image Compression in Telemedicine Systems by R Monika, Samiappan Dhanalakshmi, Narayanamoorthi Rajamanickam, Amr Yousef, Roobaea Alroobaea

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AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

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A high-duty-cycle transmitter unit for steady-state surface NMR instruments by N. B. Gaikwad, L. Liu, M. P. Griffiths, D. Grombacher, J. J. Larsen

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