Real-Time Human Action Recognition With Dynamical Frame Processing via Modified ConvLSTM and BERT by Raden Hadapiningsyah Kusumoseniarto, Zhi-Yuan Lin, Shun-Feng Su, Pei-Jun Lee

“…In this study, a human action recognition approach with dynamical frame processing is proposed to fulfill the need for action recognition in a real-time manner. …”
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Morphometric analysis of equid cheek teeth using a digital image processor: a case study of the Pleistocene Cedazo local fauna equids, Mexico by Christian Raúl Barrón-Ortiz, Gilfredo de la Riva-Hernández, Raúl Barrón-Corvera

“…In contrast to previous studies, we only analyzed cheek teeth with an equivalent stage of wear and developed a computer program that integrates a digital image processor to analyze the occlusal pattern and also to take measurements of different features of the occlusal surface. …”
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Towards a Multiqudit Quantum Processor Based on a ¹⁷¹Yb⁺ Ion String: Realizing Basic Quantum Algorithms by Ilia V. Zalivako, Anastasiia S. Nikolaeva, Alexander S. Borisenko, Andrei E. Korolkov, Pavel L. Sidorov, Kristina P. Galstyan, Nikita V. Semenin, Vasilii N. Smirnov, Mikhail A. Aksenov, Konstantin M. Makushin, Evgeniy O. Kiktenko, Aleksey K. Fedorov, Ilya A. Semerikov, Ksenia Yu. Khabarova, Nikolay N. Kolachevsky

“…We demonstrate a quantum processor based on a 3D linear Paul trap that uses <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mmultiscripts><mi mathvariant="normal">Yb</mi><none></none><mo>+</mo><mprescripts></mprescripts><none></none><mn>171</mn></mmultiscripts></semantics></math></inline-formula> ions with eight individually controllable four-level qudits (ququarts), which is computationally equivalent to a sixteen-qubit quantum processor. …”
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Leg Muscle Volume, Intramuscular Fat and Force Generation: Insights From a Computer‐Vision Model and Fat‐Water MRI by Andrew C. Smith, Javier Muñoz Laguna, Eddo O. Wesselink, Zachary E. Scott, Hazel Jenkins, Wesley A. Thornton, Marie Wasielewski, Jordan Connor, Scott Delp, Akshay S. Chaudhari, Todd B. Parrish, Sean Mackey, James M. Elliott, Kenneth A. Weber II

Subjects: “…computer‐assisted…”
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A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution by Ana Carolina Estorani Polessa, Gisele Goulart Tavares, Ruan Medina, Camila Martins Saporetti, Tiago Silveira Gontijo, Matteo Bodini, Leonardo Goliatt, Priscila Capriles

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Experimental and computational analysis of coated milli-structured bioreactor with immobilized nitrilase for continuous production of nicotinic acid by Maïté Michaud, Chalore Teepakorn, Véronique De Berardinis, Anne Zaparucha, Guillaume Nonglaton, Pierre Coste, Zoé Anxionnaz-Minvielle

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Summary of the 2023 (1st edition) Report of TCEP (Tracking Clean Energy Progress) by the International Energy Agency (IEA), and Proposed Process for Computing a Single Aggregate Rating by Marzouk Osama A.

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Ramp winch locking system based on multi-channel image processing by Lei YOU, Yiwen LI, Haifeng ZHANG, Xiaoyu YANG, Minghua LUO

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Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomography angiography by Yan Xi, Yi Xu, Zheng Shu

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Inhibitory effect of Fisetin against the aggregation process of SOD1 E100K mutant: computer-based drug design as a potential therapeutic for ALS disease by Fatemeh Sadat Seyedi Asl, Nasrin Malverdi, Fatemeh Sadat Ataei Kachouei, Fatemeh Zarei, Shamim Ghiabi, Payam Baziyar, Mohsen Nabi-Afjadi

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A comprehensive survey on secure healthcare data processing with homomorphic encryption: attacks and defenses by Chian Hui Lee, King Hann Lim, Sivaraman Eswaran

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Numerical Simulation of Flooding Process on Downstream Structure by Three-dimensional Dam-break Wave by YU Ruixing, LIN Qin, HE Shiming, ZHENG Yipeng, ZHENG Kaiyuan

“…Based on an in-house three-dimensional parallel model, the dynamic response process of the fluid-structure interaction caused by water disasters is investigated. …”
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Parallel Processing of Sobel Edge Detection on FPGA: Enhancing Real-Time Image Analysis by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Dileepan Dhanasekaran, Manikandan Mahalingam, Jui-Pin Yang

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Computed Tomography vs Computer Modeling for Comparison and Evaluation of Anatomical Features of the Radial Head by Anna O. Samokhina, Sergey E. Shemyakov, Andrei P. Ratiev, Karen A. Egiazaryan

“…Computer modeling was carried out through the ITK-SNAP program (GNU General Public License version 3.0 — GPLv3), with further processing of the obtained model using the developed software method. …”
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Long short-term-memory-based depth of anesthesia index computation for offline and real-time clinical application in pigs by Benjamin Caillet, Gilbert Maître, Steve Devènes, Darren Hight, Alessandro Mirra, Olivier L. Levionnois, Alena Simalatsar

“…We here present a deep-learning approach for computing depth of anesthesia (DoA) for pigs undergoing general anesthesia with propofol, integrated into a novel general anesthesia specialized MatLab-based graphical user interface (GAM-GUI) toolbox. …”
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Soft-Computing Analysis and Prediction of the Mechanical Properties of High-Volume Fly-Ash Concrete Containing Plastic Waste and Graphene Nanoplatelets by Musa Adamu, Yasser E. Ibrahim, Mahmud M. Jibril

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A Review of QoS-Driven Task Scheduling Algorithms and Their Impact on Data Quality in Process Management by Anupam Yadav, Ashish Sharma

“…This paper delves into the intersection of data quality and business process management through the lens of cloud computing. …”
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Digital image processing as a component to assess primary root emergence from soybean seeds by Gloria de Freitas Rocha Ribeiro, Abimael dos Santos Carmo-Filho, Rafael Mateus Alves, Julio Marcos-Filho, Francisco Guilhien Gomes-Junior

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Pulsed electric field ablation process-the effect of bifurcation stents on electric field and heat distribution by Zhen wang, Jingyang Sun, Ming Liang, Jie Zhang, Yulai Yan, Fengqi Xuan, Lisheng Xu, Yaling Han

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SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing by Wangdan Liao, Fei Chen, Fei Chen, Changyue Liu, Weidong Wang, Weidong Wang, Weidong Wang, Hongyun Liu, Hongyun Liu

“…The architecture features optimized spiking modules that facilitate the processing of spatio-temporal patterns in visual data, aiming to reconcile the computational demands of high-level vision tasks with the energy-efficient processing of SNNs.ResultsExtensive experiments show that the proposed SpikeAtConv architecture outperforms or is comparable to the state-of-the-art SNNs on the datasets. …”
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