Uncertainties in Earthquake Risk Assessment for Disaster Planning by Yasin Fahjan, Ferhat Pakdamar, Yaşasın Eryılmaz, Fatma Kara

“…Uncertainties of the seismic risk assessment parameters can be generated from ground motion computations, structural inventories and risk methodologies. …”
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Besov-Schatten Spaces by A. N. Marcoci, L. G. Marcoci, L. E. Persson

“…Finally we compute the space of all Schur multipliers on 𝐵1(ℓ2).…”
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Correction: Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes by Ambre Bertrand, Andrew Lewis, Julia Camps, Vicente Grau, Blanca Rodriguez

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Development of a model for detection and analysis of inclusions in tomographic images of iron castings using decision trees by Dorota Wilk-Kołodziejczyk, Aleksandra Nowotny, Izabela Krzak, Adam Tchórz, Krzysztof Jaśkowiec, Marcin Małysza, Adam Bitka, Mirosław Głowacki, Marzanna Książek, Łukasz Marcjan

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A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology by Yingying Zhang, Alden K. Leung, Jin Joo Kang, Yu Sun, Guanxi Wu, Le Li, Jiayang Sun, Lily Cheng, Tian Qiu, Junke Zhang, Shayne D. Wierbowski, Shagun Gupta, James G. Booth, Haiyuan Yu

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Vehicle speed measurement method using monocular cameras by Hao Lian, Meian Li, Ting Li, Yongan Zhang, Yanyu Shi, Yikun Fan, Wenqian Yang, Huilin Jiang, Peng Zhou, Haibo Wu

“…By leveraging the characteristics of the speed measurement problem, the complex three-dimensional positioning problem is simplified into a two-dimensional model, reducing the overall computational complexity of the positioning problem. …”
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On QSPR analysis of pulmonary cancer drugs using python-driven topological modeling by Huiling Qin, Mazhar Hussain, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Zahid Hussain, Mohamed Abubakar Fiidow

“…Degree-based topological indices were computed using computational methods driven by Python that are mathematical representations of properties of molecules without physical measurement. …”
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Research on certificateless anonymous authentication and key agreement scheme of vehicle network based on CPN by ZHENG Lu, FENG Tao, SU Chunhua

“…To address the shortcomings of existing authentication schemes in vehicle networks, which commonly suffer from key escrow issues, as well as the lack of consideration for lightweight deployment and secure rapid authentication of compute-constrained electronic control unit (ECU), a lightweight certificateless anonymous authentication and key agreement scheme without bilinear pairings was proposed for compute-unconstrained ECU networks. …”
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EMIKNet: Expanding Multiple-Instance Inverse Kinematics Network for Multiple End-Effector and Multiple Solutions by Youn-Jae Go, Jun Moon

“…We also verify multiple solutions obtained through hierarchical computation of GMM.…”
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Sensitivity analysis for any functions of static elastic systems using combination of adjoint variable method and automatic differentiation for topology optimization by Shun OGAWA, Kazuo YONEKURA, Katsuyuki SUZUKI

“…This study proposes a methodology to generalize and reduce the computational cost of sensitivity analysis for static linear elastic systems in topology optimization. …”
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Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models by Nhat-Duc Hoang

“…This study aims at proposing a computer vision model for automatic recognition of localized spall objects appearing on surfaces of reinforced concrete elements. …”
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Concrete Image Segmentation Based on Multiscale Mathematic Morphology Operators and Otsu Method by Sheng-Bo Zhou, Ai-Qin Shen, Geng-Fei Li

“…The aim of the current study lies in the development of a reformative technique of image segmentation for Computed Tomography (CT) concrete images with the strength grades of C30 and C40. …”
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Numerical Simulation of the Vibration Behavior of Curved Carbon Nanotubes by Sadegh Imani Yengejeh, João M. P. Q. Delgado, Antonio G. Barbosa de Lima, Andreas Öchsner

“…Both computational and analytical results were compared. It was shown that the computational results are in good agreement with the analytical calculations in the case of straight tubes. …”
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CATPE protocol with capture effect for RFID tag anti-collision by Xi YANG, Hai-feng WU, Yu ZENG

“…The advantage of the protocol is that it does not need search an extreme, but one-step estimates the parameters.Thus it may reduce the computational complexity.Computer simulation results show that the identification efficiency of proposed protocol is almost identical to the existing ones, but has lower computational complexity.…”
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Efficient Mining of Interesting Patterns in Large Biological Sequences by Md. Mamunur Rashid, Md. Rezaul Karim, Byeong-Soo Jeong, Ho-Jin Choi

“…Experimental results show that our approach can find interesting patterns within an acceptable computation time.…”
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Abnormal data filtering approach based on collective trust for WSN by Xiao-bin XU, Guang-wei ZHANG, Shang-guang WANG, Qi-bo SUN, Fang-chun YANG

“…Simulation results show that this method cannot only detect and filter the outliner in-time,but also need low cost in transmission and computation.…”
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A Simplified Milstein Scheme for SPDEs with Multiplicative Noise by B. Ghayebi, S. M. Hosseini

“…The convergence analysis for this scheme is carried out and it is shown that even with this replacement the order of convergence is maintained, while the resulting scheme is easier to implement and slightly more efficient computationally. Some numerical tests are given that confirm the order of accuracy and also computational cost reduction.…”
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Investigation of a spatial double pendulum: an engineering approach by S. Bendersky, B. Sandler

“…., mathematical model) were derived for this SDP, and oscillations of the system were computed and compared with experimental results. Matlab computer programs were used for solving the nonlinear differential equations by the Runge-Kutta method. …”
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Multimodal Deep Learning for Differentiating Bacterial and Fungal Keratitis Using Prospective Representative Data by N.V. Prajna, MD, Jad Assaf, MD, Nisha R. Acharya, MD, MS, Jennifer Rose-Nussbaumer, MD, Thomas M. Lietman, MD, J. Peter Campbell, MD, MPH, Jeremy D. Keenan, MD, MPH, Xubo Song, PhD, Travis K. Redd, MD, MPH

“…The multimodal model did not substantially improve performance compared with the computer vision model. Conclusions: The best-performing machine learning classifier for infectious keratitis was a computer vision model trained using the MADURAI dataset. …”
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A New Algorithm for System of Integral Equations by Abdujabar Rasulov, Adem Kilicman, Zainidin Eshkuvatov, Gulnora Raimova

“…To verify the efficiency, the results of computational experiments are given.…”
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