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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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…In order to explore the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction, the relationship modeling method of deep learning algorithm is proposed. This study integrates deep learning algorithms and first uses the changes in body shape, weight, BMI index, body fat, body circumference, and other indicators of adolescent obese before and after aerobic exercise as the initial pheromone distribution matrix and introduces random evolution factor and evolutionary drift threshold to establish the objective function of aerobic exercise to reduce adolescent obesity. …”
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Finding near-optimal groups of epidemic spreaders in a complex network. by Geoffrey Moores, Paulo Shakarian, Brian Macdonald, Nicholas Howard

“…We show that a strictly greedy approach obtains the best approximation ratio unless P = NP and then formulate a modified version of this approach that leverages qualities of the network to achieve a faster runtime while maintaining this theoretical guarantee. We perform an experimental evaluation on samples from several different network structures which demonstrate that our algorithm maximizes combinatorial local centrality and consistently chooses the most effective set of nodes to spread infection under the SIR model, relative to selecting the top nodes using many common centrality measures. …”
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R-learning-based team game model for Internet of things quality-of-service control scheme by Sungwook Kim

“…In this work, we formulate a new quality-of-service management scheme based on the IoT system power control algorithm. Using the emerging and largely unexplored concept of the R-learning algorithm and docitive paradigm, system agents can teach other agents how to adjust their power levels while reducing computation complexity and speeding up the learning process. …”
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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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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…The simulation was conducted using a small-batch data scale that best fit the actual production requirements of the steel sheet stock warehouse. The algorithm without the Levy flight speed update strategy exhibited significantly reduced convergence, while the algorithm without the local search strategy showed a marked reduction in diversity. …”
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IMPROVING EFFICIENCY OF RADIO MAINTENANCE TO ENSURE SAFETY by V. E. Emelyanov, I. A. Polotnyanschicov

“…The Algorithm of solving the task of optimal control is given.…”
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Breaking Through GNSS Outage: Advanced Stochastic Model for MEMS IMU in Navigation by Ahmed Shahrawy, Mahmoud A. Shawky, Adel M. Soliman, Wali Ullah Khan, Ahmad Almogren, Ahmed G. Abdellatif, Syed Tariq Shah

“…The experimental results demonstrate that the proposed 45-state navigation algorithm reduces the 2-D position RMSE by approximately 67% compared to the conventional 15-state algorithm, while the 57-state algorithm achieves an improvement of around 64%.…”
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Assessment of GOCI-II satellite remote sensing products in Lake Taihu by Min Zhao, Min Zhao, Huaming Li, Hao Li, Xuan Zhang, Xiaosong Ding, Xiaosong Ding, Fang Gong

“…When applying UV correction, the 412 nm band performed better than the 380 nm band, likely due to a lower signal-to-noise ratio at 380 nm and smaller extrapolation errors at 412 nm.DiscussionWhile the NIR algorithm is suitable for open ocean waters, the UV algorithm demonstrated higher accuracy in turbid environments such as Lake Taihu. …”
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Optimasi Algoritma Naive Bayes dengan Diskritisasi K-Means pada Diagnosis Penyakit Jantung by Nafa Fajriati, Budi Prasetiyo

“…The accuracy results obtained from the Naïve Bayes algorithm without applying the K-means discretization to the Cleveland heart disease dataset are 86.89%, while the accuracy results obtained from the Nave Bayes algorithm by applying the K-means discretization to the Cleveland heart disease dataset are 88.52%. . …”
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