Single-loop translational space-parallel mechanism with motion decoupling: topological design and kinematics dimension optimization by PAN Haiyue, SHEN Huiping, DU Zhongqiu, LI Tao, LI Ju

“…Secondly, the symbolic positional positive and negative solutions, workspaces, and the singularities and their singular positions were derived for each of the four PMs and verified, respectively. Finally, the differential evolution algorithm was used to optimize the maximum workspace of the four mechanisms, and their maximum workspace were finally obtained.ResultsThis single-loop translation spatial parallel mechanism can be used to design the unit of modular rod-type robots. …”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…The proposed work generates the S-box optimized values in a dynamic way, and an experimental evaluation of the proposed S-box method has been conducted using several cryptographic criteria, including bit independence criteria, speed, non-linearity, differential and linear approximation probabilities, strict avalanche criteria and balanced output. …”
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Extraction and Analysis of Influencing Factors of Scientific and Technological Ability Improvement of University Teachers Based on Deep Learning Model by Aiqin Wang, Wei Yan

“…The algorithm in this article has a higher F1 value of the evaluation label vector extracted from the evaluation text of different grades. …”
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Spatial Vibration Characteristics and Damage Identification of Toppling Dangerous Rock Mass by Chen ZHAO, Mowen XIE, Yan DU, Zhengjun HUANG, Zheng HE, Guang LU

“…The unidirectional kinetic indices are strongly correlated with the damage evolution of the structural plane and show directional differences in the damage sensitivity of the dangerous rock mass. …”
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A Real Time Coordinated Hydro Governor With Dual STATCOM for Low Frequency Oscillation Damping Using Hybrid Mean DE & TVAPSO by Samarjeet Satapathy, Narayan Nahak, Renu Sharma

“…A new multi-objective mean Differential Evolution with time varying accelerated Particle Swarm Optimization algorithm (MeDETVAPSO) has been implemented to tune controller parameters. …”
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Active Disturbance Rejection Attitude Control for Hypersonic Vehicle Based on Intelligent Stochastic Robust Optimization Method by Bo Wang, Wei Liu, Zhongtao Cheng, Lei Liu, Yongji Wang

“…The Monte Carlo sampling of uncertain parameter is adopted to evaluate the stochastic robust performance. An improved differential evolution algorithm that combines neighborhood field optimization and triangular mutation is employed as the numerical solver. …”
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ENCRYPTION OF IMAGES ON THE BASIS OF CHAOTIC MAPPING AND PARALLEL COMPUTING by A. V. Sidorenko, M. S. Shishko

“…Resistance of this algorithm to statistical and differential cryptanalysis was evaluated. …”
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Energy-Efficient Policy Based on Cross-Layer Cooperation in Wireless Communication by Juan Zhang, Hong Jiang, Hesong Jiang, Chunmei Chen

“…Cooperative communication has emerged as a new wireless network communication concept, in which parameter optimization such as cross-layer cooperation plays an important role. Heuristic evaluation postdecision state learning algorithm (HE-PDS) is proposed in cross-layer cooperation. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“…The development of such algorithm is difficult due to the uncertainty of criteria for the differential diagnosis of various types of scars. …”
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Exploring the genetic profiles linked to senescence in thyroid tumors: insights on predicting disease progression and immune responses by Baoliang Zhang, Yanping Pang

“…We constructed a prognostic model using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and verified its efficacy. Kaplan-Meier survival curves were plotted, and Receiver Operating Characteristic (ROC) curves rigorously confirmed the accuracy of model predictions.ResultsTo evaluate the predictive power of prognostic models across different phenotypic traits, we performed survival analysis, Gene Set Enrichment Analysis (GSEA), and immune-related differential analysis. …”
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

“…In light of the problem’s inherent nonconvex structure and computational intractability, we introduce a collaborative multi-operator Differential Evolution (DE) variant algorithm with a semi-adaptive strategy, termed CSADE. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Secondly, in an attempt to comprehensively evaluate the optimization performance of SLPDBO, a series of numerical optimization experiments are carried out with 20 test functions and with popular optimization algorithms and dung beetle optimizer (DBO) algorithms with different improvement strategies. …”
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Well-log lithofacies classification based on machine learning for Chang-7 member in Longdong area of Ordos Basin by SHEN Li,WANG Caizhi,NING Congqian,LIU Yingming,WANG Hao

“…After comparing the application effects of different unbalanced data classification algorithm in the region, it’s found that bagging algorithm of ensemble learning notably improved the classification performance of all lithofacies by combining multiple classifiers. …”
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Task offloading and resource allocation in vehicle heterogeneous networks with MEC by Haibo ZHANG, Qiuji LUAN, Jiang ZHU, Fangwei LI

“…Based on the advantages of high-bandwidth and low-latency brought by mobile edge computing (MEC),which could provide IT service environment and cloud computing capability,combined with the long-term evolution unlicensed (LTE-U) technology,the task offloading decision and resource allocation issues in vehicle heterogeneous network were studied.Considering the link differentiation requirements,which were the high capacity of vehicle-to-roadside unit (V2I) links and the super reliability of vehicle-to-vehicle (V2V) links,quality of service (QoS) was modeled as the combination of capacity and latency.Firstly,the improved K-means algorithm was used to cluster the request vehicles according to different QoS to determine the communication mode.Secondly,the LTE-U technology based on non-competition period (CFP) which was combined with carrier aggregation (CA) technology,and the distribution Q-Learning algorithm were adopted to allocate the channel and power.The simulation results show that the proposed mechanism can maximize the V2I link traversal capacity while ensuring the reliability of the V2I link.…”
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A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
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A Simultaneous Solution for Reserve Capacity Maximization and Delay Minimization Problems in Signalized Road Networks by Ozgur Baskan, Huseyin Ceylan, Cenk Ozan

“…We use a weighted-sum method to determine the Pareto optimal solutions of the biobjective problem by applying normalization approach for making the objective functions dimensionless. Following, a differential evolution based heuristic solution algorithm is introduced to overcome the problem presented by use of biobjective bilevel programming model. …”
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مقارنة تحليلية لأداء كل من خوارزمية اليراع وخوارزمية التطور التفاضلي في شبكات الحساسات اللاسلكية by اريتاس أحمد خليل, محمد الحسين

“…في هذا العمل تم البحث في أداء خوارزميتين هما اليراع Firefly Algorithm (FA) والتطور التفاضلي Differential Evolution (DE)، حيث تم اختبار أداء كل منهما على شبكات الحساسات التي تم نشرها بشكل عشوائي. …”
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Cryptanalysis of image confidentiality scheme based on hybrid chaotic maps by Majid Khan, Noor Munir

“…In our study, we provide a systematic CPA of the elementary algorithm, confirmed using experimental evaluation. …”
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University proceedings. Volga region. Technical sciences by V.V. Konovalov, M.V. Dontsova, A.N. Rasstegaev, V.Yu. Zaitsev

“…Materials and methodsThe research provided for the development of a calculation methodology and algorithm implemented in the MatchCAD mathematical package in the form of a computer model for comparative evaluation and optimization of calculating the number of parts processed by machines of different types based on the limitations available in production. …”

Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short-Term Memory Model by Yujia Zhai, Yan Wan, Xiaoxiao Wang

“…Then, the experimental simulation verification and prediction performance evaluation are performed. Finally, the data predicted by the BiLSTM algorithm model are compared with the actual data and the data predicted by the long short-term memory (LSTM) algorithm model. …”
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