An Adaptive Framework for Real-Time ECG Transmission in Mobile Environments by Kyungtae Kang

“…The algorithm takes into account the differing priorities of packets in each layer, which prevents the perceived quality of the reconstructed ECG signal from degrading abruptly as channel conditions worsen, while using the available bandwidth efficiently. …”
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Energy-Optimal 3D Path Planning for MAV with Motion Uncertainty by Yamin Li, Bowen Sun, Ping Xia, Yang Yang

“…Multiple sets of contrast experiments demonstrate the effectiveness and efficiency of the proposed algorithm.…”
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Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

“…The Nelder-Mead iteration algorithm is adopted to calculate the parametric and nonparametric parts simultaneously in the optimization. …”
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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

“…An alternating optimization algorithm based on fractional programming theory and the Lagrangian operator method was proposed. …”
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Research on Path Planning Method of Coal Mine Robot to Avoid Obstacle in Gas Distribution Area by Ruiqing Mao, Xiliang Ma

“…Second, the initial working paths for the coal mine robot are obtained based on Dijkstra algorithm, and then the global optimal working path for the coal mine robot is obtained based on ant colony algorithm. …”
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Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment by Nan Zhao

“…The simulation results show that this optimization algorithm can effectively improve the recognition performance of DBN, with an accuracy of 94% in a certain environment, and has a better classification effect than other traditional classification methods.…”
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Experimental Closed-Loop Control of Breast Cancer in Mice by Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler

“…An optimal therapy generation algorithm is presented and tested using a tractable mouse model of breast cancer. …”
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Multiobjective Location Routing Problem considering Uncertain Data after Disasters by Keliang Chang, Hong Zhou, Guijing Chen, Huiqin Chen

“…Finally, the genetic algorithm is applied to solve a number of numerical examples, and the results show that the genetic algorithm is very stable and effective for this problem.…”
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Arithmetically Fast Position Transformation for View Synthesis and Depth Estimation by Krzysztof Wegner, Tomasz Grajek, Krzysztof Klimaszewski

“…As a result, the number of necessary arithmetic operations is reduced and some of the calculations can be reused for consecutive pixel position transformations. The presented algorithm produces identical output as an unoptimized algorithm with approximately 22% reduction of the processing time averaged over the examined representative test sequences.…”
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Estimation of Congestion in Free Disposal Hull Models Using Data Envelopment Analysis by M. Abbasi, G. R. Jahanshahloo, M. Rostamy-Malkhlifeh, F. Hosseinzadeh Lotfi

“…To do so, this study provides a pairwise comparisons-based algorithm to evaluate congestion in FDH model. This algorithm identifies the sources of congestion and estimates its amounts. …”
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An Efficient Clustering Protocol for Wireless Sensor Networks Based on Localized Game Theoretical Approach by Dongfeng Xie, Qi Sun, Qianwei Zhou, Yunzhou Qiu, Xiaobing Yuan

“…The sensor nodes, which are modelled as players, join in a clustering game to campaign for cluster heads with an equilibrium probability. However, the CROSS algorithm needs the global information of how many nodes participate in the game at every round. …”
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Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes by Hua Wang, Ling Xiao, Zhang Chen

“…A simulation-based genetic algorithm is proposed to solve the model. With numerical experiments, we demonstrate the value of deploying inverse-direction EV lanes and the computational efficiency of the proposed algorithm. …”
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Sparse Blossom: correcting a million errors per core second with minimum-weight matching by Oscar Higgott, Craig Gidney

“…In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes. Our algorithm, which we call sparse blossom, is a variant of the blossom algorithm which directly solves the decoding problem relevant to quantum error correction. …”
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Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT by Liang Xue, Yao Ma, Miao Zhang, Wanqiang Qin, Jin-Long Wang, Yazhou Wu

“…Numerical results validate the effectiveness and convergence of the proposed algorithm.…”
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Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO by Zihang Ding, Junwei Xie, Jiaang Ge

“…We compare the PARAFAC decomposition algorithm with the estimation of signal parameters via the rotational invariance techniques (ESPRIT) algorithm, and our method owns a superior performance. …”
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A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating by Yuhan Song, Han Shen-Tu, Junhao Lin, Yizhen Wei, Yunfei Guo

“…A labeled multi-Bernoulli tracking algorithm based on maximum likelihood recursive update is proposed, which can reduce the computational scale while maintaining tracking accuracy. …”
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Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter by Shyamala Loganathan, Saswati Mukherjee

“…Finally, we conducted simulations using CloudSim and compared our algorithm with other existing methods, like V-MCT and priority scheduling algorithms.…”
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Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks by Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi

“…In this paper, an abnormal detection algorithm is proposed to identify unusual events captured by multiple cameras. …”
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Integrated Optimization of Service-Oriented Train Plan and Schedule on Intercity Rail Network with Varying Demand by Wenliang Zhou, Junli Tian, Lianbo Deng, Jin Qin

“…Based on the cost analysis of both passengers travelling and enterprises operation, and the constraint analysis of trains operation, we construct a multiobjective function and build an integrated optimization model with the aim of reducing both passenger travel costs and enterprise operating costs. Then, a solving algorithm is established based on the simulated annealing algorithm. …”
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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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