A Stochastic Total Least Squares Solution of Adaptive Filtering Problem by Shazia Javed, Noor Atinah Ahmad

“…The proposed total least mean squares (TLMS) algorithm is designed by recursively computing an optimal solution of adaptive TLS problem by minimizing instantaneous value of weighted cost function. …”
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Polar-Axis Orientation Fluctuations and the Impact on the Intrinsic Variability in Ferroelectric Capacitors by Wei Zhang, Jianze Wang, Xuanyao Fong

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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Our re-implementation of each method in Java allows meaningful comparisons of the computational complexity and computing time associated with each algorithm. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…In this paper, the different computation efficiencies of the algorithms are compared according to the computing times of relevant algorithms.…”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…The implementation of GPU parallel computing techniques together with optimization of memory and threads leads to faster computation. …”
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Sparse Probabilistic Synthesis of Quantum Operations by Bálint Koczor

“…A diverse spectrum of applications are demonstrated as (a) exactly synthesizing rotations in fault-tolerant quantum computers using only low T-count circuits and (b) synthesizing broadband and band-selective pulses of superior performance in quantum optimal control with (c) further applications in NMR or MRI. …”
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HiCoACR: A reconfiguration decision-making model for reconfigurable security protocol based on hierarchically collaborative ant colony by Zhuo Yi, Ying Liao, Xuehui Du, Xin Lu, Lifeng Cao

“…While the Worker schedules most suitable cryptogram resources for each sub-goal received and produces the optimal reconfiguration solution which is verified and re-optimized by a Lévy process–based stochastic gradient descent algorithm. …”
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Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

“…With the aid of economic tools, we design Swing Gradient Search Algorithm to obtain the optimal investment portfolio strategy, thereby addressing the coupling relationship between the quantities of resource acquisition. …”
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Enhancing Performance and Stability of Wing-Alone UAV: A Comprehensive Mathematical Model and Simulation Approach Using MATLAB and Simulink by G. Ramanan, N. Rahul, V. E. Sathishkumar, Indraraj Upadhyaya

“…The UAV’s weight components, including battery, propulsion, and structural weights, were analyzed, demonstrating a 12% reduction in power requirements during climb at optimal angles of attack. Performance analyses revealed a maximum rate of climb at 3.5 m/s and optimal aerodynamic efficiency for minimum drag at a cruise velocity of 25 m/s. …”
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Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review by Aurelio Vivas, Andrei Tchernykh, Harold Castro

“…These workflows are frequently executed on High-performance, Cloud, Fog, Grid, IoT, and hybrid computing systems. We focus on scheduling algorithms tailored for batch and stream processing workflows, cataloging them based on their optimization objectives (e.g., monetary cost, makespan, resource efficiency, energy consumption), optimization techniques (e.g., heuristics, meta-heuristics, machine learning), and assessment criteria (e.g., workflow complexity, computing environment scale, dataset size). …”
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A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games by Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan

“…Central to classical game theory is the efficient algorithmic computation of Nash equilibria, which represent optimal strategies for both players. …”
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Efficient dynamic task offloading and resource allocation in UAV-assisted MEC for large sport event by Chen Peng, Qiqi Wang, Desheng Zhang

“…We formulate the problem as a long-term stochastic optimization problem. To address this issue, we propose the efficient dynamic resource allocation (EDRA) algorithm. …”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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Finding large independent sets in networks using competitive dynamics by M. N. Mooij, I. Kryven

“…However, it remains unclear whether collective behaviour among biological species can also lead to solutions for computational tasks. By studying the coexistence of species that interact through simple rules on a network, we demonstrate that the underlying dynamical system can recover near-optimal solutions to the maximum independent set problem – a fundamental, computationally hard problem in graph theory. …”
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Finding the Shortest Path with Vertex Constraint over Large Graphs by Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu

“…In this paper, we first propose a novel exact heuristic algorithm in best-first search way and then give two optimizing techniques to improve efficiency. …”
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Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes by Tom Peham, Ludwig Schmid, Lucas Berent, Markus Müller, Robert Wille

“…Known circuit constructions of this scheme are mostly obtained manually, and no algorithmic techniques for constructing depth- or gate-optimal circuits exist. …”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The mean squared error (MSE) was used to evaluate the performance of models, which was 0.0535, 0.0704, and 0.0908 for the perceptron neural network in the Levenberg-Marquardt, Bayesian regularization, and scaled conjugate gradient algorithms, respectively. Also, the MSE value for the neuro-fuzzy model in the optimization and hybrid algorithms was 0.0190 and 0.0102, respectively. …”
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STRATEGIC MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A COMPANY IN THE PARADIGM OF FUZZY LOGIC by Yu. A. Malyukov, A. O. Nedosekin, Z. I. Abdoulaeva

“…It is necessary to develop optimal algorithms for managing economic systems under adverse effects (AE) of a natural, technological, or military nature. …”
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Efficient off-chip configuration method for scalable programmable photonic integrated circuits by ZeYang Fan, JunMin Lin, Tian Zhang, Jian Dai, XingYuan Xu, Kun Xu

“…Here, we propose a complete off-chip method based on the combination of gradient descent and genetic algorithms to find the optimal configuration for an arbitrary matrix, enabling imperfect circuits to achieve excellent performance. …”
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MAB-Based Online Client Scheduling for Decentralized Federated Learning in the IoT by Zhenning Chen, Xinyu Zhang, Siyang Wang, Youren Wang

“…Through theoretical analysis, this algorithm can achieve asymptotic optimal performance in theory. …”
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