Calculation Experiment for Various Dynamics Types Electrical Installation Wires in Power Systems by I. I. Serguey, P. I. Klimkovich

“…While assigning combined boundary problems of wire dynamics a principle of mechanics links. Package of computer programs for calculation of electro-dynamic stability, dancing and sub-oscillations of electrical installation wires in power systems has been set up and evaluated.…”
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POD-DEIM Based Model Order Reduction for the Spherical Shallow Water Equations with Turkel-Zwas Finite Difference Discretization by Pengfei Zhao, Cai Liu, Xuan Feng

“…DEIM is very helpful in evaluating quadratically nonlinear terms in the reduced-order model. …”
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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

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Experimental Verification of the Field Robotic System for Pipeline Maintenance by Thanh Phuong Nguyen, Hung Nguyen, Nhat Minh Ngo, Ha Quang Thinh Ngo

“…Secondly, the kinematic robot is analyzed to compute the flexible motion. Through theoretical computations, its locomotion could be evaluated directly. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…However, their application to computationally expensive problems remains challenging due to the high cost and significant number of fitness evaluations required during the search process. …”
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Comparing Portability of FPGA High-Level Synthesis Frameworks in the Context of a Highly-Parallel Application by Manuel De Castro, Roberto R. Osorio, Francisco J. Andujar, Rocio Carratala-Saez, Yuri Torres, Diego R. Llanos

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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…This study evaluates the trade-offs between predictive accuracy, robustness, and computational efficiency in diabetes forecasting. …”
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Assessment of the effect of heat transfer intensifiers on the energy and mass efficiency of crystallizers by V. V. Chernyavskaya, V. B. Sapozhnikov, I. Yu. Golovanov, M. A. Ugolnikova

“…The article presents the results of evaluating the effect of the presence and form of heat transfer intensifiers on the mass of the Crystallizer and the power required for pumping the coolant (when freezing ice on the inner surface of the heat exchanger tube) based on the results of computer modeling.Conclusion. …”
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Development of the Telehealth Usability Questionnaire (TUQ) by Bambang Parmanto, Allen Nelson Lewis, Jr., Kristin M. Graham, Marnie H. Bertolet

“…However, telehealth services are increasingly conducted over computer-based systems that rely on commercial software and a user supplied computer interface. …”
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Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…We exemplify this by taking unitary coupled-cluster (UCC) ansatz used in the applications of quantum computers to quantum chemistry as an example. We theoretically evaluate the approximation error of UCC ansatz when decomposed into Clifford+$T$ gates, and the numerical simulation for a wide variety of molecules verified that our model well explains the total decomposition error of the ansatz. …”
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Study on Fluid-Structure Interaction of Flexible Membrane Structures in Wind-Induced Vibration by Fangjin Sun, Donghan Zhu, Tiantian Liu, Daming Zhang

“…The performance and efficiency of the modified projection method are evaluated. The results show that the modified projection methods are valid in the computation of wind-induced fluid-structure interaction of flexible membranous structures, with higher accuracy and efficiency compared with traditional methods. …”
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Intelligent two-phase dual authentication framework for Internet of Medical Things by Muhammad Asif, Mohammad Abrar, Abdu Salam, Farhan Amin, Faizan Ullah, Sabir Shah, Hussain AlSalman

“…The efficiency of the proposed framework was rigorously tested through simulations that evaluated encryption-decryption time, computational cost, latency, and packet delivery ratio. …”
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2-Rényi CCNR negativity of compact boson for multiple disjoint intervals by Himanshu Gaur

“…Abstract We investigate mixed-state bipartite entanglement between multiple disjoint intervals using the computable cross-norm criterion (CCNR). We consider entanglement between a single interval and the union of remaining disjoint intervals, and compute 2-Rényi CCNR negativity for a 2d massless compact boson. …”
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A hybrid ensemble framework with particle swarm optimization for network anomaly detection by Narinder Verma, Neerendra Kumar, Gourav Kumar, Kuljeet Singh

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Optimization of Direct Convolution Algorithms on ARM Processors for Deep Learning Inference by Shang Li, Fei Yu, Shankou Zhang, Huige Yin, Hairong Lin

“…In deep learning, convolutional layers typically bear the majority of the computational workload and are often the primary contributors to performance bottlenecks. …”
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Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization. by Xiaoquan Wen, Roger Pique-Regi, Francesca Luca

“…We evaluate and demonstrate the proposed computational approach through extensive simulation studies and analyses of blood lipid data and the whole blood eQTL data from the GTEx project. …”
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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms by Purushottam Singh, Prashant Pranav, Sandip Dutta

“…Our findings demonstrate that this integrated approach significantly enhances both security and efficiency across all evaluated protocols. Notably, the AES-GCM algorithm exhibited superior performance, achieving minimal computation time and robust side-channel resistance. …”
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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

“…However, we developed a system that automatizes the preceding evaluations in a non-contact way using deep learning algorithms. …”
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ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things by Jing Nan, Wei Dai, Chau Yuen, Jinliang Ding

“…Finally, the universal approximation property of ConGCNet is proved by the low-complexity control strategy and convex output weights evaluated method. Simulation results, including four benchmark datasets and the real-world ore grinding process, demonstrate that ConGCNet effectively reduces computational consumption in the modelling process and improves the model’s convergence rate.…”
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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…Purpose:  The objective of this study is to analyze and evaluate a factorization-based compression technique that reduces the computational footprint of large language models while preserving their accuracy in NLI tasks, particularly for resource-constrained or latency-sensitive applications. …”
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