Enhanced Small Reflections Sparse-Spike Seismic Inversion with Iterative Hybrid Thresholding Algorithm by Yue Feng, Ronghuo Dai, Zidan Fan

“…We use a modified iterative soft thresholding algorithm (MISTA) to solve it. Hence, it forms a new algorithm called the iterative hybrid thresholding algorithm (IHyTA), which combines IHTA and MISTA. …”
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Evaluation of an Information Flow Gain Algorithm for Microsensor Information Flow in Limber Motor Rehabilitation by Naiqiao Ning, Yong Tang

“…This paper conducts an evaluative study on the rehabilitation of limb motor function by using a microsensor information flow gain algorithm and investigates the surface electromyography (EMG) signals of the upper limb during rehabilitation training. …”
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A new maturity recognition algorithm for Xinhui citrus based on improved YOLOv8 by Fuqin Deng, Zhenghong He, Lanhui Fu, Jianle Chen, Nannan Li, Weibiao Chen, Jialong Luo, Weilai Qiao, Jianfeng Hou, Yongkang Lu

“…Current object detection algorithms lack accuracy in detecting citrus maturity color, and feature extraction needs improvement. …”
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An efficient load balancing algorithm for virtual machine allocation based on ant colony optimization by Peng Xu, Guimin He, Zhenhao Li, Zhongbao Zhang

“…To achieve this goal, we leverage the ant colony optimization to design an efficient virtual machine allocation algorithm based on the NP-hard feature of this problem. …”
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A novel method for developing post-quantum cryptoschemes and a practical signature algorithm by Nikolay Andreevich Moldovyan, Dmitriy Nikolaevich Moldovyan

“…The practical purpose is to propose a fundamentally new method for development of algebraic digital signature algorithms. Design/methodology/approach – The proposed method is distinguished by the use of two different finite commutative associative algebras as a single algebraic support of the digital signature scheme and setting two different verification equation for a single signature. …”
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Quality of service optimization algorithm based on deep reinforcement learning in software defined network by Cenhuishan LIAO, Junyan CHEN, Guanping LIANG, Xiaolan XIE, Xiaoye LU

“…Deep reinforcement learning has strong abilities of decision-making and generalization and often applies to the quality of service (QoS) optimization in software defined network (SDN).However, traditional deep reinforcement learning algorithms have problems such as slow convergence and instability.An algorithm of quality of service optimization algorithm of based on deep reinforcement learning (AQSDRL) was proposed to solve the QoS problem of SDN in the data center network (DCN) applications.AQSDRL introduces the softmax deep double deterministic policy gradient (SD3) algorithm for model training, and a SumTree-based prioritized empirical replay mechanism was used to optimize the SD3 algorithm.The samples with more significant temporal-difference error (TD-error) were extracted with higher probability to train the neural network, effectively improving the convergence speed and stability of the algorithm.The experimental results show that the proposed AQSDRL effectively reduces the network transmission delay and improves the load balancing performance of the network than the existing deep reinforcement learning algorithms.…”
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Adaptive multiple-modalities data compression algorithm using wavelet for wireless sensor networks by ZHU Tie-jun 1, LIN Ya-ping1, ZHOU Si-wang2, XU Xiao-long 1

“…Wireless sensor networks usually have limited resources, such as energy, bandwidth and processing and so on.And they can’t match the transmission of a large number of data.So, it is necessary to perform in-network compression of the raw data sampled by sensors.The data sensor node collected normally have multiple-modalities pertinence.Multiple-modalities pertinence refers to the different types of data which the same node sampled have some correlation.A adaptive multiple-modalities data compression algorithm using wavelet was designed.In a given threshold of the correlation, the data can be adaptive classified using this algorithm.the relevant data can be estimated using the least square estimation.The characteristics data are abstracted as a matrix, then can be exploited the spatial and temporal corrections using wavelet transform.Theoretically and experimentally, the proposed algorithm can effectively exploit the correlation of the data, the compression ratio of the algorithm has improved.Effectively, it can provide a significant reduction in energy consumption.…”
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Retracted: Correlation Analysis of Japanese Literature and Psychotherapy Effects Based on an Equation Diagnosis Algorithm by Occupational Therapy International

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Classical orthogonal polynomials and Leverrier-Faddeev algorithm for the matrix pencils sE−A by Javier Hernández, Francisco Marcellán

“…In this contribution we present an extension of the Leverrier-Faddeev algorithm for the simultaneous computation of the determinant and the adjoint matrix B(s) of a pencil sE−A where E is a singular matrix but det⁡(sE−A)≢0. …”
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An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization by Xiaobing Yu, Jie Cao, Haiyan Shan, Li Zhu, Jun Guo

“…A novel adaptive hybrid algorithm based on PSO and DE (HPSO-DE) is formulated by developing a balanced parameter between PSO and DE. …”
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Third or fourth branchial pouch sinus lesions: a case series and management algorithm by Yun Li, Kexing Lyu, Yihui Wen, Yang Xu, Fanqin Wei, Haocheng Tang, Siyu Chen, Zhangfeng Wang, Xiaolin Zhu, Weiping Wen, Wenbin Lei

“…Abstract Background The purpose of this study was to develop an effective management algorithm for lesions of third or fourth branchial sinuses. …”
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CaLRS: A Critical-Aware Shared LLC Request Scheduling Algorithm on GPGPU by Jianliang Ma, Jinglei Meng, Tianzhou Chen, Minghui Wu

“…So we proposed a critical-aware shared LLC request scheduling algorithm (CaLRS) in this paper. The priority representative of memory request is critical for CaLRS. …”
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MONITORING SYSTEM DATA PROCESSING ALGORITHM OF WELD-BONDED COUPLING INSTALLATION OF THE MAIN PIPELINES by G. S. Tymchik, A. A. Podolian

“…The algorithm for optimal press-in sessions calculations of self-hardening substance in weldbonded coupling space, considering geometric and strength parameters of the strengthen pipe-line, coupling and self-hardening substance, as well as operational parameters of coupling space layer has been proposed. …”
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Neural network blind equalization optimized by parallel genetic algorithm with partial elitist strategy by Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN

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Early Merge mode decision algorithm for 3D-HEVC based on learning model by Yue LI, Gaobo YANG, Xiangling DING, Yapei ZHU

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Algorithm of passive “Beidou”/INS closed-loop integrated using two level filter by GAO Fa-qin, TAN Zhan-zhong

“…One scheme of integrated navigation Kalman filter positioning algorithm was put forward to apply to “Beidou” and INS（intertial navigation system）.Using the pseudo-range’s velocity of changing as observations,on the basis of the high stable clock,a closed loop Kalman filtering model that can revise the attitude error of INS was put out,its biggest optimism was that it could change between the close-loop method and open-loop method steadily.Finally,by computer simulation,it explain that our scheme improve the positioning precision effectively when the satellites in sight are less then two ones,and it also show that our scheme can revise the attitude error of INS effectively and estimate the user’s velocity in high precision.…”
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Large-scale multiobjective competitive swarm optimizer algorithm based on regional multidirectional search by Xuenan Zhang, Debao Chen, Fangzhen Ge, Feng Zou, Lin Cui

“…This results in an inefficient search and hinders the global convergence of the algorithm. To solve these problems, this study proposes a large-scale multiobjective competitive swarm optimizer algorithm based on regional multidirectional search (AMSLMOEA). …”
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Neighbor selection algorithm in cloud-assistant P2P-VoD system by Xin CONG, Kai SHUANG, Sen SU, Fang-chun YANG, Xin SUN

Subjects: “…peer selection algorithm…”
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Wireless sensor network nodes localization method based on cellular automata bat algorithm by Kailu MENG, Keqiang YUE, Junna SHANG

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Improved TCP based on adaptive loss differentiation algorithm over wired-wireless networks by YE Jin1, WANG Jian-xin1, GONG Hao1

Subjects: “…loss differentiation algorithm…”
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