A Comparative Study of Privacy-Preserving Techniques in Federated Learning: A Performance and Security Analysis by Eman Shalabi, Walid Khedr, Ehab Rushdy, Ahmad Salah

“…All the combined models outperformed the base FL model against the evaluated attacks. FL_PATE_CKKS_SMPC achieved the lowest backdoor attack success rate (0.0920). …”
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Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis by Yanghuang Zheng, Yuelin Du, Biao Zhang, Helin Zhang, Panfeng Shang, Zizhen Hou

“…Indicators such as the pooled area under the curve (AUC), sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were computed to evaluate the predictive effect of radiomics technology on LNM of PCa.ResultsA total of 1860 patients diagnosed with LNM of PCa through histological examination were included in this meta-analysis. …”
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Thermal Analysis of Outer Rotor BLDC Motor for Drone Considering Airflow Ventilation Cooling by Jaebeom Kang, Jiheon Lee, Hyeong-Jin Kim, Thanh-Tuan Nguyen, Jiyoung Lee, Yi-Hwa Song, Sung-Joo Yoo

“…Next, CFD simulations are performed on a coaxial rotor drone system to evaluate airflow characteristics near the motor. Based on the CFD results, convective heat transfer coefficients are determined and applied to the LPTN model, achieving both high accuracy and computational efficiency in thermal analysis. …”
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Screening and prognostic roles of renal volumetry and scintigraphy in the assessment of living kidney transplant donors, considering the early recovery of the residual renal functi... by Shunta Hori, Mitsuru Tomizawa, Kuniaki Inoue, Tatsuo Yoneda, Kenta Onishi, Yosuke Morizawa, Daisuke Gotoh, Yasushi Nakai, Makito Miyake, Kazumasa Torimoto, Nobumichi Tanaka, Kiyohide Fujimoto

“…Abstract Background The existing criteria for living kidney donors (LKDs)in Japan are controversial. We evaluated the roles of computed tomography volumetry (CTV) and 99 m Tc-diethylenetriamine penta-acetic acid (DTPA) scintigraphy in assessing preoperative and postoperative renal function and predicting early recovery of residual renal function. …”
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QUANTITATIVE ASSESSMENT OF RELATIVE HUMIDITY, K INDEX, AND TT INDEX USING PROGRAMMATIC ANALYSIS by Indrajit Ghosh, Ananya Roy, Vanshika Gupta, Shruti Bhattacharya

“…This study conducted a quantitative analysis to evaluate the statistical significance of climatic parameters such as Relative Humidity (RH), K Index and Total Totals (TT) Index. …”
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The indirect spaced repetition concept by Louis Lafleur

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BFO-ACO roaming path planning based on multi-constraint scenarios by LIN Xiaoling, WANG Zhiqiang, GUO Yanyan, ZHU Zexuan

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Hypoattenuating Leaflet Thickening After Transcatheter Pulmonary Valve Implantation by Pietro Spagnolo, MD, Francesca Bevilacqua, MD, Noemi Perillo, MD, Angelo F. d’Aiello, MD, Giulia Guglielmi, MD, Giulia Pasqualin, MD, Angelo Micheletti, MD, Diana G. Negura, MD, Massimo Chessa, MD, PhD

“…HALT was detected via computed tomography angiography in 71% of patients, primarily affecting the right cusp. …”
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CFD Analysis of Heat Transfer Enhancement for Twisted Tape Inserted in Spirally Corrugated Tubes and Proposal of a New Vane-Inserted Geometry by Mouhsine M. Benmbarek, Samir F. Moujaes

“…After validating the CFD results, it is proposed to investigate a new insert geometry to further improve the efficiency of the heat exchanger. The computational fluid dynamics (CFD) simulation was conducted to investigate and validate the CFD model, which evaluates the heat transfer performance in a spirally corrugated tube that has a twisted tape inserted. …”
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Impact of Augmented Reality and Game-Based Learning for Science Teaching: Lessons from Pre-Service Teachers by Valerie Czok, Holger Weitzel

“…However, previous research findings on AR’s potential for knowledge acquisition are inconclusive. Furthermore, computer self-efficacy has seldom been evaluated. AR is frequently combined with game-based approaches (GAME), yet the specific impact of each feature, “AR” and “GAME”, is often not differentiated in the research design. …”
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A Hyper-Attentive Multimodal Transformer for Real-Time and Robust Facial Expression Recognition by Zarnigor Tagmatova, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young Im Cho

“…Facial expression recognition (FER) plays a critical role in affective computing, enabling machines to interpret human emotions through facial cues. …”
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Initial Approach to Self-Compacting Concrete with Raw-Crushed Wind-Turbine Blade: Fresh, CFD and Mechanical Analysis by Manuel Hernando-Revenga, Víctor Revilla-Cuesta, José A. Chica, Vanesa Ortega-López, Juan M. Manso

“…However, SCC containing RCWTB must show proper fresh behavior, an aspect evaluated in this paper both experimentally and through simulations based on computational fluid dynamics (CFD) for RCWTB additions up to 3.0% by volume. …”
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Optimising Air Change Rates: A CFD Study on Mitigating Pathogen Transmission in Aircraft Cabins by Jaydon Benn, Lin Tian

“…This study addresses gaps in the research by evaluating the impact of air changes per hour (ACH) on pathogen transmission in an aircraft cabin using computational fluid dynamics (CFD) simulations. …”
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Simulation study of the influence of circular arc vortex generator size on the heat transfer characteristics of fin-and-tube heat exchanger by Xuejun Qi, Jingrong Yang, Yong Zhang, Jingjing Wang, Xinyu Guo

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Research on Citrus Leaf Disease Recognition Using Class-Agnostic Contrastive Learning and Supervised Organizational Mapping by Wen Xiao, Jinxia Shang, Fan Li, Ou Ao, Xin Wang, Shiyi Tian

“…Through feature alignment and feature fusion, an accuracy of 97.1% is achieved (+2.4% vs ResNet-18). Evaluations on citrus leaf and public datasets demonstrate superior accuracy and interpretable lesion localization, advancing plant disease diagnosis.…”
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Influence of Building Airtightness on the Placement of a Portable Air Cleaner in an Elementary School Classroom by Ye Seul Eom, Dong Hwa Kang

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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper underscores the significant advancements in plant disease diagnostics achieved through the integration of remote sensing technologies and deep learning algorithms, particularly in aerial imagery interpretation. It focuses on evaluating deep learning techniques and unmanned aerial vehicles for crop disease detection. …”
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Inspiring from Galaxies to Green AI in Earth: Benchmarking Energy-Efficient Models for Galaxy Morphology Classification by Vasileios Alevizos, Emmanouil V. Gkouvrikos, Ilias Georgousis, Sotiria Karipidou, George A. Papakostas

“…Concurrently, the considerable energy consumption of machine learning (ML) has fostered the emergence of Green AI, emphasizing sustainable, energy-efficient computational practices. We introduce the first large-scale Green AI benchmark for galaxy morphology classification, evaluating over 30 machine learning architectures (classical, ensemble, deep, and hybrid) on CPU and GPU platforms using a balanced subset of the Galaxy Zoo dataset. …”
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Bidirectionally Coupled FE-CFD Simulation Study on MQL Machining Process of Ti-6Al-4V Alloy by Xiaorong Zhou, Lin He, Sen Yuan, Hongwan Jiang, Jing Deng, Feilong Du, Jingdou Yang, Zebin Su

“…This study introduced an innovative bidirectional iterative coupling framework integrating finite element (FE) analysis and computational fluid dynamics (CFD) to enhance simulation accuracy. …”
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Experimental Assessment of Finite Control Set - Model Predictive Control Applied to a Dual-Converter-Based Rectifier With a Floating DC link by Liane M. de Oliveira, Victor F. M. B. Melo, Iaryssa P. Teles, Emerson de L. Soares, Edison R. C. da Silva, Bruna S. Gehrke, Edgard L. L. Fabrício, Gilielson F. da Paz

“… This paper proposes a reduced-computation-burden Finite Control Set - Model Predictive Control (FCS-MPC) applied to a dual-converter-based rectifier with a floating DC link. …”
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