Network media streaming offloading algorithm based on QoE in mobile edge network by Zaijian WANG, Hao CHENG

“…Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor quality of experience (QoE) caused by emerging network media streaming business in mobile edge computing, a computing offloading algorithm based on QoE feedback configuration was proposed.Firstly, both preprocessing and priority were comprehensively considered to maximize network resource utilization.Meanwhile, different weights were assigned to the computation tasks for establishing a resource allocation relationship.Secondly, after comprehensively taking into account deadline, computing resource, power and bandwidth constraint, an QoE model was established where the optimization objective was the weighted sum of task delay, energy consumption and precision, and the method of Lagrange multipliers was utilized to solve the established model.Simulation results indicate that, compared with the deep reinforcement learning-based online offloading algorithm, the proposed algorithm can effectively optimize the resource allocation and better improve the QoE.…”
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Unsupervised feature selection algorithm based on L 2,p-norm feature reconstruction. by Wei Liu, Qian Ning, Guangwei Liu, Haonan Wang, Yixin Zhu, Miao Zhong

“…Our results indicate that the method outperforms 10 unsupervised feature selection algorithms in terms of clustering performance.…”
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Efficient quantum algorithm to simulate open systems through a single environmental qubit by Giovanni Di Bartolomeo, Michele Vischi, Tommaso Feri, Angelo Bassi, Sandro Donadi

“…We present an efficient algorithm for simulating open quantum systems dynamics described by the Lindblad master equation on quantum computers, addressing key challenges in the field. …”
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Characterization of High-Speed Steels—Experimental Data and Their Evaluation Supported by Machine Learning Algorithms by Manfred Wiessner, Ernst Gamsjäger

“…X-ray diffractograms of high-speed steels are analyzed using machine learning algorithms to accurately classify various heat treatments. …”
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Quadrotor Robust Fractional-Order Control Based on a Recent Bonobo Optimization Algorithm by Faycal Ziani, Aissa Benhammou, Mohamed Amine Hartani, Hegazy Rezk

“…The five fractional parameters for each engine are also improved using the Bonobo Optimization (BO) algorithm. The optimized results in this paper are compared with the algorithms used, such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO). …”
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A node influence ranking algorithm combining k-shell iteration and node degree. by Yating Ji, Lequn Liu, Shujia Li, Pu Lu, Qimei Tang

“…To address this issue, we propose a node influence ranking algorithm that integrates K-shell iteration, node degree, and neighbor information, considering both global network position and local topology. …”
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Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems by Tamara J. Bíró, Adrián Horváth

“…Two main categories were distinguished for both logistic tasks and metaheuristic algorithms: discrete and continuous. …”
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Forecasting the progression of Alzheimer's disease using neural networks and a novel preprocessing algorithm by Jack Albright, Alzheimer's Disease Neuroimaging Initiative

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Nonlinear Friction and Dynamical Identification for a Robot Manipulator with Improved Cuckoo Search Algorithm by Li Ding, Xingcheng Li, Qilin Li, Yuan Chao

“…Secondly, we use a cuckoo search algorithm to identify the unknown parameters. To enhance the performance of the original algorithm, both chaotic operator and emotion operator are employed to help the algorithm jump out of local optimum. …”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…In this paper, we propose the idea of Trip History Model (THM) which establishes a model on a single person's mobility, and then a Spatial and Temporal Correlations-Based Routing Algorithm (STC) is proposed. In STC, the node delivery probability is calculated according to both a node's current moving prediction and its history record to give guidance for message transmission. …”
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Sparse Adaptive Channel Estimation Based on lp-Norm-Penalized Affine Projection Algorithm by Yingsong Li, Wenxing Li, Wenhua Yu, Jian Wan, Zhiwei Li

“…We propose an lp-norm-penalized affine projection algorithm (LP-APA) for broadband multipath adaptive channel estimations. …”
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A Hybrid Algorithm for Multi-Beam Steering of LCOS-Based Wavelength Selective Switch by Yunshu Gao, Zhongwei Tan, Xiao Chen, Genxiang Chen

“…In this paper, a three-step hybrid algorithm including IFTA, Symmetrical IFTA with both phase and amplitude freedoms (SIFTA-2) and Genetic algorithm (GA) is developed to optimize the multi-casting hologram and experimentally demonstrated the multi-casting function of WSS. …”
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An advanced Successive Derivative Shortest Path algorithm for concave cost network flow problems by Lu Yang, Zhouwang Yang

“…Numerical experiments, including parameter selection, validation, and comparative analysis, demonstrate that the SDSP algorithm outperforms existing methods in terms of both solution quality and convergence speed. …”
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Distributed Energy-Efficient Topology Control Algorithm in Home M2M Networks by Chao-Yang Lee, Chu-Sing Yang

“…For home M2M networks, this study proposes a distributed energy-efficient topology control algorithm for both topology construction and topology maintenance. …”
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A Novel Dynamic Algorithm for IT Outsourcing Risk Assessment Based on Transaction Cost Theory by Guodong Cong, Tinggui Chen

“…The numerical case proves the effectiveness of the algorithm compared with the approach forwarded by other references.…”
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Comparison of Deep Neural Networks and Random Forest Algorithms for Multiclass Stunting Prediction in Toddlers by Wulan Sri Lestari, Yuni Marlina Saragih, Caroline

“…This study aims to compare the performance of multiclass stunting prediction models using two machine learning algorithms: Deep Neural Networks and Random Forest. …”
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Pattern synthesis of linear array antennas based on Chaos Triangular Pelican Optimization Algorithm by Anyong Liu, Yan Liu, Zhuo Chen, Yibo Wang, Yurong Yin

“…This article proposes an optimization algorithm called Chaos Triangular Pelican Optimization Algorithm (CTPOA), which combines Logistic chaotic mapping initialization and triangle walk strategy with original Pelican Optimization Algorithm (POA). …”
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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…In the first part of the proposed scheme, the cluster generation is handled using an improved hypergraph-based spectral clustering algorithm using the Eigen-trick method. The “Eigen-trick” method is used to partition both vertices and hyperedges, which provides an approach for reducing the computational complexity of the clustering. …”
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A FAST ALGORITHM FOR COMPUTING SHORT AND LONG –LENGTH LINEAR AND CIRCULAR DISCRETE CONVOLUTION by Ali K. Nahar, Hussein K. Khleaf

“…This work presents a set of efficient algorithmic methods for both linear and circular computing. …”
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Time-Varying Modal Parameters Identification by Subspace Tracking Algorithm and Its Validation Method by Haotian Zhou, Kaiping Yu, Yushu Chen, Rui Zhao, Yunhe Bai

“…In the practical application of the time-varying modal parameter identification algorithm, the identified results contain both real modal parameters and aberrant ones caused by the measurement noise. …”
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