The Combination of Pairwise and Group Interactions Promotes Consensus in Opinion Dynamics by Xiaoxuan Liu, Changwei Huang, Haihong Li, Qionglin Dai, Junzhong Yang

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Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells by Mohamed Issa, Mohamed Abd Elaziz, Sameh I. Selem

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A Multi-Criteria Perceptual Visual Complexity Metrics-Based Optimization Approach to User Interface Design Layouts by Eren Akca, Omer Ozgur Tanriover, Asim Egemen Yilmaz

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Taxicab Entrepreneurs’ Attitude to Continue Using e-Hailing Platforms in South Africa by Baldreck Chipangura

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On Ł℘,℘−1,…,1 Labelings of Circulant Graphs by K. Mageshwaran, Ali Ahmad, Bundit Unyong, G. Kalaimurugan, S. Gopinath

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Smart Robotics in the EU Legal Framework<subtitle>The Role of the Machinery Regulation</subtitle> by Tobias Mahler

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Nonstationary Stochastic Bandits: UCB Policies and Minimax Regret by Lai Wei, Vaibhav Srivastava

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How Babies Learn to Move: An Applied Riemannian Geometry Theory of the Development of Visually-Guided Movement Synergies by Peter D. Neilson, Megan D. Neilson

“…Planning a multi-joint minimum-effort coordinated human movement to achieve a visual goal is computationally difficult: (i) The number of anatomical elemental movements of the human body greatly exceeds the number of degrees of freedom specified by visual goals; and (ii) the mass–inertia mechanical load about each elemental movement varies not only with the posture of the body but also with the mechanical interactions between the body and the environment. …”
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Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions by Abbasali Sadeghi, Hamid Kazemi, Maysam Samadi

“…The results showed that the random variables such as mass and velocity of vehicle and yield strength of used materials were the most effective parameters in the failure probability computation. Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS.…”
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An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data by Xiaoran Yan, Shilong Shang, Dongxi Li, Yun Dang

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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…A micro genetic algorithm requires fewer computational resources due to its reduced population size, while still preserving a substantial degree of the search capabilities found in algorithms with larger populations. …”
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Channel and delay estimation for base-station-based cooperative communications in frequency-selective fading channels by Hongjun Xu, Laneil Padayachee

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NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty by Kwang Yoon Song, In Hong Chang

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Residual Vibration Reduction in Flexible Systems Based on Trapezoidal Velocity Profiles by Xining Cui, Yi Fang, Chaochen Gu

“…First, the formulation and minimum time solution under actuator limits of the motion profile are defined. …”
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Improving Performance of QoS Applications for Wireless Networks by Pingping Dong, Jianxin Wang, Jiawei Huang, Haodong Wang, Yi Pan

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Enhanced Mobile Multiple-Input Multiple-Output Underwater Acoustic Communications by Kexin Zhao, Jun Ling, Jian Li

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Comparative chemomicrobiomic analysis of bacteriocins by I. Yu. Torshin, O. A. Gromova

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Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless-Powered Sensor Networks by Omid Abachian Ghasemi, Mehdi Chehel Amirani

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Signal-Cooperative Multilayer-Modulated VLC Systems for Automotive Applications by Yan-Yu Zhang, Hong-Yi Yu, Jian-Kang Zhang, Yi-Jun Zhu

“…Then, an optimal AUDCG is designed by minimizing the average optical power subject to a fixed minimum Euclidean distance. One of the significant advantages of this optimal design is fast demodulation of the sum signal from a noisy received signal, as well as fast decoding of individual signal from the estimated sum signal. …”
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A novel controllability method on temporal networks based on tree model by Peyman Arebi

“…In the proposed method, the network dynamics are stored in the tree data structure to reduce the computational complexity of the algorithm for finding control nodes while maintaining essential information in controllable processes. …”
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