Effect of Power Amplifier Distortion on the Speech Transmission Index for Public Address Systems by Paweł Dziechciński

“…In the first step, this influence was evaluated by measurements for Class AB and D amplifiers. …”
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Implementation Aspects in Simulation Extrapolation-Based Stocking–Lord Linking by Alexander Robitzsch

“…However, the original SIMEX approach can be computationally complex. This article evaluates two computational shortcuts to SIMEX-based SL linking through a simulation study: a quasi-Monte Carlo method that replicates items and a proposal using an approximate noniterative estimation instead of the iterative one in the SIMEX application of SL linking. …”
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The Algorithm for Preparing a Set of Data for Teaching Neural Networks on the Example of the Task to Analyze the Radiological Images of Lungs by A. A. Kosareva

“…The methodology for preparing data for teaching neural networks is considered in solving two problems: checking the modality of computed tomography and checking the modality of radiographic images. …”
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Payment Scheduling Problem with Multiple Modes for Activities to Maximize the Net Present Value of a Project by Somayeh Ghasedi, Behrouz Afshar-Nadjafi

“…In order to evaluate the performance of the developed algorithms, a set of 108 test instances are solved, and the computational results confirm the applicability of the solving methodologies.…”
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Fast algorithms for a linear system with infinitesimal generator structure of a Markovian queueing model by Jiaqi Qu, Yunlan Wei, Yanpeng Zheng, Zhaolin Jiang

“…This decomposed Toeplitz system features multiple right-hand terms, significantly reducing computational complexity through Toeplitz inversion. …”
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Myocardial perfusion scintigraphy in the diagnostics of takotsubo syndrome by A. I. Abdrakhmanova, G. B. Saifullina, N. B. Amirov

“…Single-photon emission computed tomography can be used to evaluate perfusion parameters for exclusion of myocardial infarction in uncertain cases. …”
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Three iterative methods for solving Jeffery-Hamel flow problem by Majeed AL-Jawary, AL-Zahraa J. Abdul Nabi

“…The results reveal that the presented methods are reliable, effective and applicable to solve other nonlinear problems. Our computational works have been done by using the computer algebra system MATHEMATICA®10 to evaluate the terms in the iterative processes. …”
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Flow annealed importance sampling bootstrap meets differentiable particle physics by Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich

“…Surrogate models, such as normalizing flows, are gaining popularity for this task due to their computational efficiency. We adopt an approach based on flow annealed importance sampling bootstrap (FAB) that evaluates the differentiable target density during training and helps avoid the costly generation of training data in advance. …”
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Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream by Moeen Tayyab, Ayyaz Hussain, Mohammed Ali Alshara, Shakir Khan, Reemiah Muneer Alotaibi, Abdul Rauf Baig

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Segmentation and Classification of Skin Cancer Diseases Based on Deep Learning: Challenges and Future Directions by Abdulrahman Dira Khalaf, Hazlina Hamdan, Alfian Abdul Halin, Noridayu Manshor

“…Medical imaging technologies such as magnetic resonance imaging (MRI) and computed tomography (CT) are critical for diagnosing dermatological conditions. …”
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Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

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Pitik: A Cebuano-Binisaya Intent-Based Chatbot for Cardiovascular Disease Patient Profiling and Risk Factor Recommendations by Joseph Cedeño, Andrew Manteza, Nicole Nacar, Merhamdin Umbukan, Cherrie Muaña, Ma. Juliet Vasay-Cruz, Ceasar Ian Benablo, Kristine Mae Adlaon

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Design and Implementation of a Decision Integration System for Monitoring and Optimizing Heating Systems: Results and Lessons Learned by Kirill Djebko, Daniel Weidner, Marcel Waleska, Timo Krey, Bhaskar Kamble, Sven Rausch, Dietmar Seipel, Frank Puppe

“…This presents potential for computer-aided optimization based on artificial intelligence techniques. …”
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Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data by Rostislav Krč, Jan Podroužek, Martina Kratochvílová, Ivan Vukušič, Otto Plášek

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Exploring the Acceptance and Impact of a Digital Escape Room Game for Environmental Education Using Structural Equation Modeling by Akrivi Krouska, Christos Troussas, Phivos Mylonas, Cleo Sgouropoulou

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Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

“…The effectiveness of utilizing Meta-Path instance, the number of attention heads, and Graph Convolutional Network (GCN) and ensemble learning algorithm is analyzed on gold-standard datasets to evaluate the accuracy of the model and validity of the discovered DTI. …”
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Theorems on association of variables in multidimensional Laplace transforms by Joyati Debnath, Narayan Chandra Debnath

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A Markov Model of Non-Mutually Exclusive Cyber Threats and its Applications for Selecting an Optimal Set of Information Security Remedies by Adil A. Kassenov, Alexey A. Magazev, Valeriya F. Tsyrulnik

“…Since this random variable plays an important role at evaluating a security level of the computer system, we investigate in detail its random distribution for the case of mutually exclusive cyber threats; in particular, we derive explicit analytical formulae for numerical characteristics of its distribution: expected value and dispersion. …”
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ANN Activation Function Estimators for Homomorphic Encrypted Inference by Mhd Raja Abou Harb, Baris Celiktas

“…Homomorphic Encryption (HE) enables secure computations on encrypted data, facilitating machine learning inference in sensitive environments such as healthcare and finance. …”
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Sea Surfaces Scattering by Multi-Order Small-Slope Approximation: a Monte-Carlo and Analytical Comparison by Nafiseh Radkani, Bijan Zakeri

“…For evaluating inverse Fourier transform, inverse fast Fourier transform (IFFT) is performed to reduce computational burdens. …”
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