Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption by Zhuo MA, Jiayu JIN, Yilong YANG, Yang LIU, Zuobin YING, Teng LI, Junwei ZHANG

“…Aiming at the communication bottleneck problem when the current federated learning security aggregation algorithm was applied in a complex network environment, an adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption was proposed.While protecting gradient privacy, users adaptively compress gradients based on the current available bandwidth, greatly reduced communication overhead for federated users.Furthermore, the new dynamic decryption task distribution algorithm and gradient combination algorithm were designed in the phase of aggregation gradient decryption, which relieved the user’s uplink communication pressure.The experimental results show that the proposed scheme can sharply reduce the amount of communication to 4% compared with the existing federated learning scheme with a trivial model accuracy loss of 1%.…”
Get full text

Estimation Approach of Road Friction Coefficient Based on Nonlinear Observer by DING Xiying, PEI Yanliang, ZHANG Hongyue, YU Hua

“…In this paper, an algorithm for estimating road friction coefficient based on nonlinear observer is proposed. …”
Get full text

基于萤火虫神经网络的轴承性能退化程度评估 by 刘永前, 徐强, 田德, 龙泉

“…Precise assessment of bearing performance degradation is the foundation and key of predictive maintenance for rotating machinery,and also a new research area nowadays.An optimized BP neural network based on glowworm swarm optimization algorithm is proposed and applied for the first time in the performance degradation assessment of bearings.The glowworm swarm optimization algorithm is applied to obtain the initial weights and thresholds of BP neural network,while power spectral entropy,wavelet entropy,box dimension,correlation dimension,kurtosis and skewness are selected as the fault features.Experiments show that the glowworm swarm optimization algorithm has improved the prediction accuracy of network and the proposed method can precisely assess the performance degradation of rolling bearings,the effectiveness and accuracy of the proposed method in engineering application is validated.…”
Get full text

Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

“…The results revealed that the improved single-lens multi-box detector algorithm processed images faster and with higher accuracy and F value compared to the other algorithms. …”
Get full text

Application of Distributed Acoustic Sensing in Anchor Damage Monitoring on Submarine Cables by ZHANG Hong, WU Mingnian, WANG Daogen, MU Zhangjian, XIE Shuhong, WU Zhengming, LI Songlin, CHEN Qingqing

“…The algorithm enables feature-threshold-based identification of anchor hazards in data-scarce scenarios, circumventing the high costs associated with anchor damage data acquisition while enhancing the algorithm's broad applicability.…”
Get full text

Channel shortening in IFDMA-SIMO system by XU Lan, WANG Zong-xin

“…In high-speed IFDMA systems,the increase of channel memory can lead to serious multi-path interference.After a brief introduction to IFDMA system,a new channel shortening algorithm based on the presented IFDMA-SIMO system model was proposed.Simulation results show that the proposed algorithm can effectively suppress multi-path in-terference while maintaining the orthogonality among the signals from different users.…”
Get full text

Reinforcement learning meets technical analysis: combining moving average rules for optimal alpha by Javier H. Ospina-Holguín, Ana M. Padilla-Ospina

“…This study expands on a model-free algorithm inspired by reinforcement learning to address the challenge of reconciling trading signals while taking transaction costs into account. …”
Get full text

Inferring regulatory networks by combining perturbation screens and steady state gene expression profiles. by Ali Shojaie, Alexandra Jauhiainen, Michael Kallitsis, George Michailidis

“…In the first step, the algorithm determines causal orderings of the genes that are consistent with the perturbation data, by combining an exhaustive search method with a fast heuristic that in turn couples a Monte Carlo technique with a fast search algorithm. …”
Get full text

Adaptive Exploration Artificial Bee Colony for Mathematical Optimization by Shaymaa Alsamia, Edina Koch, Hazim Albedran, Richard Ray

“…In a variable-sized problem (n = 10), the traditional ABC algorithm converged to 3.086 × 10⁶, while AEABC achieved a convergence of 2.0596 × 10⁻²⁵⁵, highlighting its robust performance. …”
Get full text

A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles by Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen

“…The comparison of TO-A algorithm and TO-DA algorithm shows that under low energy consumption, TO-A algorithm can keep the network coverage at about 97% for a long time, connectivity rate above 89%, while the TO-DA algorithm can improve the survivability of the network by above 50% at the expense of 8.5% of the network coverage.…”
Get full text

A Quantum-Inspired Optimization Strategy for Optimal Dispatch to Increase Heat and Power Efficiency by K. Vanitha, B. Jyothi, R. Seshu Kumar, V. S. Chandrika, Arvind R. Singh, R. M. Naidoo

“…The proposed algorithm combines the principles of quantum mechanics with classical optimization algorithms to achieve a better solution. …”
Get full text

Using multi‐pattern clustering methods to improve software maintenance quality by Yi‐Ting Chen, Chin‐Yu Huang, Tsung‐Han Yang

“…Consequently, it can be seen that the proposed MPC algorithm is suitable for human comprehension while producing better module quality compared to other clustering algorithms.…”
Get full text

Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization by Jeremy Marquardt, Leonard Lucas, Stylianos Chatzidakis

“…It is shown that the RL additive can cause significant increases to the score of the maximum point discovered, but the computational time cost is increased by nearly 100% while the reconstructed radiation field root mean square error (RMSE) of the BO+RL algorithm matches BO performance within 1%.…”
Get full text

Radiomics for Machine Learning—A Multi-Class System for the Automatic Detection of COVID-19 and Community-Acquired Pneumonia from Computed Tomography Images by Vasileia Paschaloudi, Dimitris Fotopoulos, Ioanna Chouvarda

“…Radiomic feature extraction from whole lung CTs simplifies the image segmentation for the malignancy region of interest (ROI). …”
Get full text

Post-processing of a distributed source method for the localization of somatosensory cortex in a cohort of epilepsy patients by Kevin Tyner, Matthew McCumber, Srijita Das, Carmen Urban, Anthony J. Maxin, Tiffany Chu, Mustaffa Alfatlawi, Stephen V. Gliske

“…The algorithm can successfully localize somatosensory responses on the cortical surface in anatomically appropriate regions while providing the spatial extent of cortical activation, reducing subjectivity associated with dipole localization.…”
Get full text

QoS Aware Service Scheduling Scheme for VANETs by Ajay Guleria, Kuldip Singh, Narottam Chand

“…They provide the requests to road side unit (RSU) while travelling. The job of RSU is to handle various requests in such a way so that the service ratio and the quality of service (QoS) is optimized. …”
Get full text

Analisa Kombinasi Algoritma Merkle-Hellman Knapscak dan Logaritma Diskrit pada Aplikasi Chat by Aminudin Aminudin, Ahmad Faisal Helmi, Sofyan Arifianto

“…As well as testing the known plaintext attact, it was proven that the use of 1024 bits in the knapsack algorithm was found to be 14% while the algorithm combined found plaintext at 11.60%. …”
Get full text

A Distributed Resilience Enhancement Strategy for Multi-microgrids Based on System of Systems Architecture by Linxinyan LIN, Junpeng ZHU, Yue YUAN

“…Case study verified the effectiveness of the proposed model and algorithm.…”
Get full text

Evaluation of the Proposed Hand Vein Authentication System using Machine Learning by rajaa ahmed, Ziyad Tariq Mustafa Al-Ta’i

“…Results indicate highest accuracy for Logistic Regression algorithm (99.7%) and SVM algorithm of (99.6%). However, Random Forest algorithm has an accuracy of (98%), while Naive Bayes algorithm shows poorer accuracy of (91%). …”
Get full text

An accelerated hybrid framework for stochastic simulations of reaction–diffusion epidemic models by Zaib Un Nisa Memon, Katrin Rohlf

“…Coupling RMPC with a spatial tau-leaping algorithm further improves the simulation times.…”
Get full text