Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image by Ganbin Xu, Jianwei Lin

“…The system’s stability across varying frame rates was evaluated. Experiments utilized a CCD-captured database of six motion poses (sitting, squatting, kneeling, etc.). …”
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Online identification of cascading event sequences in power systems using deep learning by Georgios A. Nakas, Panagiotis N. Papadopoulos

“…The results demonstrate that the proposed method can successfully predict the reason of cascading events as they appear in a sequence with a mean accuracy of 97.4% with an online computation time of 1.09ms on average. The scalability of the method is showcased on a modified version of the IEEE-118 bus system.…”
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A strain based Lipschitz regularization for materials undergoing damage by Kamasamudram, Vasudevan, Stainier, Laurent

“…Data Driven Computational Mechanics (DDCM) solves the boundary value problem by directly relying on the strain-stress data, bypassing the need for a constitutive model. …”
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Investigating the relationship between luck beliefs causal attributions and well-being through a card game experiment by Kazuhisa Miwa, Wentong Yang, Shota Matsubayashi

“…Participants (N = 441) played a concentration card game against a computer agent with varying memory capacities while evaluating whether their success was attributable to luck or ability. …”
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Validating sensory conflict theory and mitigating motion sickness in humans with galvanic vestibular stimulation by Aaron R. Allred, Aadhit R. Gopinath, Torin K. Clark

“…Using a computational methodology, equal and opposite GVS waveforms were designed to reduce (Beneficial) or increase (Detrimental) motion sickness while controlling all other sources of sensory information and central confounds. …”
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Concordance analysis between deep learning model predictions and electrocardiography thresholds from cardiology guidelines by Bender Theresa, Hempel Philip, Spicher Nicolai

“…Post-hoc explainable artificial intelligence (XAI) methods compute regions of interest (ROI) which are of importance for a model’s decision making. …”
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Obtenção de volumes tumorais em pilhas de imagens PET usando técnicas de segmentação de imagens coloridas by Jose Wilson Vieira, Igor Fagner Vieira, Leanderson Pereira Cordeiro, Ferdinand Jesus Lopes Filho, Fernando Roberto de Andrade Lima

“…The tumor region was segmented into one of the images available and the procedure is shown in the tutorial format. All necessary computational tools have been implemented in DIP (Digital Image Processing), software developed by the authors. …”
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Towards Safer Electric Vehicles: Autoencoder-Based Fault Detection Method for High-Voltage Lithium-Ion Battery Packs by Grzegorz Wójcik, Piotr Przystałka

“…The performance was evaluated using recorded real-life datasets under faultless states and under simulated fault states through specific model performance indicators as well as detection performance indicators.…”
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Biomimetic Opaque Ventilated Façade for Low-Rise Buildings in Hot Arid Climate by Ahmed Alyahya, Simon Lannon, Wassim Jabi

“…Thirteen bio-inspired façade configurations, modeled after strategies observed in nature, were evaluated using computational fluid dynamics simulations to assess their effectiveness in increasing airflow and reducing inner skin surface temperatures. …”
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Sentiment Analysis of Emoji and Latinized Arabic in Indonesian Youtube Comments: A LABERT-LSTM Model by M. Noer Fadli Hidayat, Didik Dwi Prasetya, Triyanna Widiyaningtyas

“…After data preprocessing, the model was evaluated using accuracy, precision, recall, and F1-score metrics. …”
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Supervised Clustering of Persian Handwritten Images by Sajedeh Moradnia, Mousa Golalizadeh

“…In contrast, supervised clustering leverages the inherent information in response variables, offering substantial benefits in data dimension reduction and accelerating clustering computations. This paper evaluates the efficacy of supervised clustering in the analysis of Persian handwritten images. …”
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Optimization of Bolted Steel T-Stub Connection Based on Nonlinear Finite Element Analysis Using Genetic Algorithm by Péter Grubits, Tamás Balogh, Majid Movahedi Rad

“…To enhance the simulation efficiency and reduce the computational time without significantly compromising accuracy, the study introduces a simplified modeling methodology. …”
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Internal Force Transfer Mechanism and Bearing Capacity of Vertical Stiffener Joints in CFDST Structures by Yufen Zhang, Dongfang Zhang, Krushar Demoha

“…Then, the proposed models were used to predict and evaluate the shear and bending resistance of the vertical stiffener joint. …”
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Hyperbox Mixture Regression for process performance prediction in antibody production by Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys

“…This study evaluates the model’s performance in predicting critical quality attributes in monoclonal antibody manufacturing over a 15-day cultivation period. …”
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Lightweight and scalable security for wireless IoT systems: challenges and research directions by Daniel Migwi, Ryszard S. Romaniuk

“…However, this rapid evolution has introduced unprecedented security challenges due to constrained computational resources, heterogeneous device environments, and wide-scale deployment of IoT nodes. …”
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Optimization of 110 m Aperture Fully Steerable Radio Telescope Prestressed Back Frame Structure Based on a Genetic Algorithm by Ge Gao, Kai Zhang, Shiru Sun

“…Third, some improvements in genetic algorithms for addressing computational complexity are explained. Finally, the effects of prestressed cables on the weight reduction and reflector accuracy improvement are analysed. …”
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Analysis of Equation of States for the Suitability at High Pressure: MgO as an Example by Kuldeep Kholiya, Jeewan Chandra, Swati Verma

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Imaging Peripheral Nerves In Vivo with CT Neurogram Using Novel 2,4,6-Tri-Iodinated Lidocaine Contrast Agent by Rui Tang, Ron Perez, David M. Brogan, Mikhail Y. Berezin, James E. McCarthy

“…This study introduces and evaluates a novel tri-iodinated lidocaine-based contrast agent for computed tomography neurography, aiming to enhance the intraoperative visibility of peripheral nerves in vivo. …”
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Clinical and anatomical portrait of patients with severe COVID-19 by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, O. V. Zairatyants, A. V. Pogonin, M. V. Kuandykova, O. I. Astakhova, T. V. Astakhova, M. A. Vasil’eva, D. M. Zaichenko, Yu. A. Kadushkina, V. M. Kvashnina, Yu. N. Kirichenko, A. A. Masharova, Yu. I. Ramazanova, D. V. Rasko, E. O. Skryabina, M. K. Tamkaeva

“…The presence of risk factors for the severe course of the disease, somatic pathology, epidemiological history, changes according to computed tomography and scores on the Charlson comorbidity scale were evaluated. …”
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Effects of CAD/CAM ceramics and thicknesses on translucency and color masking of substrates by Abdullah Saeed Alayad, Abdulaziz Alqhatani, Mohammed S. Alkatheeri, Mohammed Alshehri, Mohammed A. AlQahtani, Aljoharah Ebrahim Bin Osseil, Rawan Abdullah Almusallam

“…With high demand for more natural restorations, ceramics based on computer-aided design (CAD) and computer-aided manufacture (CAM) became popular and exhibited excellent results. …”
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