Two-Phase Flow Measuring with Ultrasonic Tomography by Omid QORBANI, Esmaeil Najafi AGHDAM

“…The obtained data from a 32-digit array of ultrasonic sensors have been used and the two-phase flow rate including liquid and gas phases have been calculated through a simple algebraic algorithm. Simulation results show that while applying this method the measurement technique is independent from the fluid flow pattern and the system error is decreased. …”
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Robust STAP with coprime sampling structure based on optimal singular value thresholding by Mingxin Liu, Mingfu Li, Hui Li, Yan Cheng

“…To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. …”
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Metallic Artifacts’ Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method by Jan Juszczyk, Jakub Pałachniak, Ewa Piętka

“…Some can be reduced before or during the examination, while others are removed algorithmically after image acquisition. …”
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A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data by Prativa Pokhrel, Alina Lazar

“…Hyperparameters are the values or configurations that control the algorithm’s behavior while building the model. Hyperparameter optimization (HPO) is the guided process of finding the best combination of hyperparameters that delivers the best performance on the data and task at hand in a reasonable amount of time. …”
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Non-Singular Fast Sliding Mode Control of Robot Manipulators Based on Integrated Dynamic Compensation by Xinyi Wang, Xichang Liang, Shunjing Hu, Qianqian Xin

“…Finally, trajectory tracking experiments are conducted on an experimental platform and compared with the PID algorithm, demonstrating the superior control performance of the proposed algorithm.…”
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Symmetry-driven embedding of networks in hyperbolic space by Simon Lizotte, Jean-Gabriel Young, Antoine Allard

“…We show that the samples are consistent with current algorithms while providing added credible intervals for the coordinates and all network properties. …”
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Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

“…A technical idea was innovatively proposed that uses image deep learning to solve the problem of radio signal recognition.First,the radio signal was transformed into a two-dimensional picture,and the radio signal recognition problem was transformed into the object detection problem in the field of image recognition.Then,the advanced achievements about image recognition were used to improve the intelligence and ability of radio signal recognition in complex electromagnetic environment.Based on the proposed idea,a novel radio signal recognition algorithm named RadioImageDet was proposed.The experimental results show that the algorithm can effectively identify the waveform types and time/frequency coordinates of radio signals.After training and testing on the self-collected data set with 12 types and 4 740 samples,the accuracy reaches 86.04% and the mAP value reaches 77.72,while the detection time is only 33 ms on the medium configured desktop computer.…”
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Verification of color characteristics of document images captured in uncontrolled conditions by I.A. Kunina, O.A. Padas, O.A. Kolomyttseva

“…To detect such an attack, we propose an algorithm based on the comparison of chromaticity histograms of presented color images of the document and the ideal template of this type of document. …”
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Dual chamber pacemaker in the treatment of paroxysmal atrial fibrillation by Rađen Goran, Rafajlovski Saša I., Perišić Zoran, Romanović Radoslav

“…The decision was made to reimplant a permanent dual chamber pacemaker with the algorithm of atrial dynamic overdrive. The pacemaker was programmed to the basic rate of 75/min, while rate at rest was 55/min. …”
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Energy efficient task scheduling for heterogeneous multicore processors in edge computing by Yanchun Liu, Hongxue Qu, Shuang Chen, Xuejun Feng

“…This paper proposes a novel algorithm integrating task prioritization, core-aware mapping, and predictive DVFS. …”
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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis by Syed Saad Azhar Ali, Muhammad Moinuddin, Kamran Raza, Syed Hasan Adil

“…In this paper, the learning algorithm of radial basis function neural networks is analyzed in a feedback structure. …”
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Experimental realization of PSO-based hybrid adaptive sliding mode control for force impedance control systems by Sarucha Yanyong, Somyot Kaitwanidvilai

“…The proposed hybrid algorithm addresses the challenges associated with online learning in real-world machines. …”
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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…Simulation results show that the proposed algorithm has good convergence properties. Compared with the DFRC system assisted by a passive reflective intelligent surface (RIS), the ARIS-assisted coastal DFRC system can significantly improve the weighted sum rate of maritime users while maintaining the same detection power.…”
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A Metaheuristic Method for the Task Assignment Problem in Continuous-Casting Production by Hongtao Hu, Yiwei Wu, Tingsong Wang

“…An improved solution algorithm based on particle swam optimization is developed to efficiently solve the proposed model. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

“…The GAFPID controller employs evolutionary computation through a genetic algorithm to optimize parameter tuning, offering superior control performance. …”
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Optimizing Resilience in Sports Science Through an Integrated Random Network Structure: Harnessing the Power of Failure, Payoff, and Social Dynamics by Chulwook Park

“…This algorithm dynamically estimates the likelihood of systemic risk propagation while optimizing principles related to failure, reward, and social learning within the network. …”
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High spectral efficiency SSB-PAM-DD scheme with high linewidth tolerance by Dongxu LU, Xian ZHOU, Fei LIU, Jiahao HUO, Jinhui YUAN, Keping LONG

“…For low-cost and high chromatic dispersion (CD) robustness single sideband (SSB) with direct detection (DD), three schemes of SSB with pulse amplitude modulation (PAM) were investigated.Among that, the highest spectral efficiency was achieved by the scheme of adding the frequency down-conversion at the transmitter.However, that scheme reduces the tolerance for laser linewidth.Hence, based on the character of the SSB-PAM signal, a DSP scheme was proposed, including a modified equalization algorithm with phase distortion immunity and blind phase search algorithm.The simulation results show that the modified scheme can tolerate 1 MHz linewidth for 112 Gbit/s SSB-PAM-DD, while the original scheme for SSB-PAM was only 100 kHz at the same bit error rate (BER) threshold.Therefore, the proposed scheme can achieve a high frequency efficiency, high linewidth tolerance, and low-cost SSB-PAM signaling transmission.…”
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Inverse cost and revenue efficiency in network processes with uncontrollable inputs by Fatemeh Gholami Golsefid, Monireh Jahani Sayyad Noveiri, Sohrab Kordrostami

“…Then, the introduced algorithms are applied to a numerical example and a dataset related to salmon farming, obtaining logical results. …”
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Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration by Andrés Cacereño, David Greiner, Andrés Zuñiga, Blas J. Galván

“…Multiobjective evolutionary algorithms are combined with discrete event simulation while the performance of two state-of-the-art multiobjective evolutionary algorithms is studied. …”
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RL based transmission power control for energy harvesting sensor by LIU Nanjun, JIA Riheng, XU Wentao, LI Minglu

“…To achieve effective power control of sensors and enhance their performance metrics, such as data throughput, while ensuring long-term life, a reinforcement learning-based power control strategy was designed. …”
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