Computational Methods for Calculating Multimodal Multiclass Traffic Network Equilibrium: Simulation Benchmark on a Large-Scale Test Case by Mostafa Ameli, Jean-Patrick Lebacque, Ludovic Leclercq

“…This study reviews existing computational methods to calculate simulation-based dynamic network equilibrium. …”
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Computer-Controlled Local Anesthesia Complication: Surgical Retrieval of a Broken Dental Needle in Noncooperative Autistic Paediatric Patient by Damian Chybicki, Małgorzata Lipczyńska-Lewandowska, Gaja Torbicka, Anna Janas-Naze

“…The article describes an unusual case of retrieval of 8 mm fragment of a broken 30-gauge 21 mm dental needle in a 6 y.o. noncooperative autistic male patient. The needle of a computer-controlled local anesthesia device was broken during an attempt to administer local anesthetic, in order to perform conservative treatment of teeth 55 and 54 by a pedodontist. …”
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Management of Complex Root Canal Curvature of Bilateral Radix Entomolaris: Three-Dimensional Analysis with Cone Beam Computed Tomography by Muktishree Mahendra, Anand Verma, Sanjeev Tyagi, Santosh Singh, Kapil Malviya, Ramit Chaddha

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Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

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Analysis of Aspiration Risk Factors in Severe Trauma Patients: Based on Findings of Aspiration Lung Disease in Chest Computed Tomography by Gyu Jin Heo, Jungnam Lee, Woo Sung Choi, Sung Youl Hyun, Jin-Seong Cho

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A computational role of blood nanofluid induced by a stenosed artery with porous medium and thermophoretic particle deposition effects by Shivalila Hangaragi, N. Neelima, N. Beemkumar, Ankur Kulshreshta, Umair Khan, Noreen Sher Akbar, Mohammad Kanan, Mona Mahmoud

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A rare anatomical finding of anterior interventricular vein drainage into the left atrium detected on multi-slice computed tomography by Nikola Komazec, Aleksandra Ilić, Milenko Rosić, Ranko Zdravković, Nina Dračina, Milenko Čanković

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UF/IFAS Nutrient Management Series: Computational Tools for Field Implementation of the Florida Phosphorus Index - Okeechobee Watershed Area by G. Wade Hurt, Rao S. Mylavarapu, S. P. Boetger

“…Boetger, provides many tables with numerical values for each of the various factors listed in the Florida P Index to be used in computations to aid planners in designing conservation plans related to land application of animal wastes. …”
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Computer Simulation Tests of Feedback Error Learning Controller with IDM and ISM for Functional Electrical Stimulation in Wrist Joint Control by Takashi Watanabe, Yoshihiro Sugi

“…For FES application, the ISM was tested in learning off line using training data obtained by PID control of very slow movements. Computer simulation tests in controlling wrist joint movements showed that the ISM performed properly in positioning task and that IDM learning was improved by using the ISM showing increase of output power ratio of the feedforward controller. …”
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Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method by Wen-yan Nie, Zhong-gen Wang

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Mejores Prácticas en la Implementación del Edge Computing: Un Enfoque Basado en Casos de Éxito by Anderson Ivan Asanza Honores, Darwin Geovanny Chuchuca Vacacela, Mariuxi Paola Zea Ordoñez, Tania Yesminia Contreras Alonso

Subjects: “…edge computing…”
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Torque and d-q axis current dynamics of an inverter fed induction motor drive that leverages computational intelligent techniques by Shaswat Chirantan, Bibhuti Bhusan Pati

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Mixed Finite Element Computation of Energy Release Rate in Anisotropic Materials Based on Virtual Crack Closure-Integral Method by Sami Derouiche, Salah Bouziane, Hamoudi Bouzerd

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Machine Learning Approach and Model for Predicting Proton Stopping Power Ratio and Other Parameters Using Computed Tomography Images by Charles Ekene Chika

Subjects: “…empirical computation…”
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Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

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Predictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study by Kazuya Ichikado, Hidenori Ichiyasu, Kazuhiro Iyonaga, Kodai Kawamura, Yuko Yasuda, Keisuke Anan, Hiroko Okabayashi, Kimitaka Akaike, Noritaka Higashi, Takeshi Johkoh, Kiminori Fujimoto, Tetsuo Saito, Jun Morinaga, Minoru Yoshida, Katsuhiko Mitsuzaki, Takuro Sakagami

“…There are no reports on the clinical characteristics of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. Therefore, we aimed to examine these clinical characteristics and clarify the predictive factors of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. …”
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Semiautomatic Algorithm for Lymph Node Analysis Corrected for Partial Volume Effects in Combined Positron Emission Tomography-Computed Tomography by Ralph A. Bundschuh, Markus Essler, Julia Dinges, Christian Berchtenbreiter, Jan Mariss, Axel Martínez-Möller, Gaspar Delso, Melanie Hohberg, Stephan G. Nekolla, Dominik Schulz, Sibylle I. Ziegler, Markus Schwaiger

“…Positron emission tomography-computed tomography (PET-CT) is superior compared to stand-alone PET in evaluation of malignancies. …”
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Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis by Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu

“…Abstract Objective This study aimed to assess the feasibility of computer model-based evaluation of knee joint functional capacity in comparison with manual assessment. …”
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Multivariate Image Analysis Applied to Cross-Laminated Timber: Combined Hyperspectral Near-Infrared and X-ray Computed Tomography by Dietrich Buck, Olle Hagman

“…CLT panels underwent nondestructive testing using near-infrared (NIR) hyperspectral imaging and X-ray computed tomography (CT) analysis. MIA was performed on these results to build predictive models for wood features, such as fibre alignment and knot type. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…The data is processed using one of the machine learning models namely deep learning by dividing several nodes that have been formed in the cloud computing environment by utilizing the H2O library. …”
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