A Hybrid Ant Colony Optimization for Dynamic Multidepot Vehicle Routing Problem by Haitao Xu, Pan Pu, Feng Duan

“…Experimental results show that the HACO algorithm is feasible and efficient to solve DMDVRP.…”
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Evaluation of Land Use Change Trends Using Landscape Measurements (Case Study: Pakdasht City) by Alireza Thernasab, Leila Ebrahimi, Ameneh Haghzad, Mehrdad Ramezan Por

“…These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. …”
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Fuzzy Semiactive Vibration Control of Structures Using Magnetorheological Elastomer by Xuan Bao Nguyen, Toshihiko Komatsuzaki, Yoshio Iwata, Haruhiko Asanuma

“…However, the fuzzy semiactive algorithm presented here is able to produce the sufficient applied current and thus viscoelastic force is desirably produced. …”
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A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica by Xin Zou, Wen Long Yue

“…By taking Adelaide Central Business District (CBD) in South Australia as a case, the Bayesian network structure was established by integrating K2 algorithm with experts’ knowledge, and Expectation-Maximization algorithm that could process missing data was adopted to conduct the parameter learning in Netica, thereby establishing the Bayesian network model for the causation analysis of road accidents. …”
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Laboratory Evaluation of Time-Domain Reflectometry for Bridge Scour Measurement: Comparison with the Ultrasonic Method by Xinbao Yu, Xiong Yu

“…TDR method, with the developed analysis algorithm, yields information on the river properties such as the electrical conductivity of river water and the density of sediments. …”
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A Study on the Prediction of House Price Index in First-Tier Cities in China Based on Heterogeneous Integrated Learning Model by Yaqi Mao, Yonghui Duan, Yibin Guo, Xiang Wang, Shen Gao

“…Secondly, with the goal of improving accuracy, diversity, and generalization ability, the types of base learners as well as metalearners are determined, and the parameters of the base learners are optimized using the grey wolf optimization algorithm to produce the GWO-stacking model, and the experimental results from four datasets demonstrate that the model has high prediction accuracy. …”
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Modelling a Coupled Thermoelectromechanical Behaviour of Contact Elements via Fractal Surfaces by G. Mazzucco, F. Moro, M. Guarnieri

“…In this way the micromechanical model allowed for an upgraded contact algorithm in terms of effective contact area and thermal and electrical contact conductivities. …”
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Robust Fractional Low-Order Multiple Window STFT for Infinite Variance Process Environment by Haibin Wang, Changshou Deng, Junbo Long, Youxue Zhou

“…The performance of the traditional cross-term reduction algorithm is compromised, sometimes yielding incorrect results under the infinite variance process environment. …”
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Optimal Operation Scheme with Short-Turn, Express, and Local Services in an Urban Rail Transit Line by Tao Feng, Siyu Tao, Zhengyang Li

“…A real-life case study in Chengdu, China, is performed to demonstrate the effectiveness and efficiency of the proposed model and algorithm.…”
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Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters by Wei Wu, Jingbo Guo, Jie Li, Ji Sun, Haoran Qi, Ximing Chen

“…By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm is established. Aiming at the problem that the model has a large error in complex formation recognition, a formation recognition model based on the entropy weight K-nearest neighbor algorithm is established, and the wrong data of the K-nearest neighbor model is recalculated. …”
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Theoretical understanding of gradients of spike functions as boolean functions by DongHyung Yoo, Doo Seok Jeong

“…Abstract Applying an error-backpropagation algorithm to spiking neural networks frequently needs to employ fictive derivatives of spike functions (popularly referred to as surrogate gradients) because the spike function is considered non-differentiable. …”
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Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask by Jie Yang, Yachun Tang

“…Finally, the hardware and algorithm software design of the DSP-based speech enhancement system is given. …”
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A New Image Encryption Method Using an Optimized Smart Codebook by Rami Sihwail, Dyala Ibrahim

“…The best codebooks are selected to create the encrypted image in the next stage. Finally, the RSA algorithm sends the recipient the code books with the cipher image. …”
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Edge-assisted UAV onboard video compression and transmission for efficient inference of patrolling tasks by YANG Peng, LIANG Yuxin, KONG Yuxin, LIU Mingliu

“…To address the challenges from dynamic UAV trajectories and fluctuating network conditions, the RoIs collected by UAVs were properly choosen through an adaptive RoI box selection algorithm, followed by adaptive configuration of quantization parameters (QP) of video codec, in order to further compress the transmitted data volume. …”
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A distributed estimation method over network based on compressed sensing by Lin Li, Donghui Li

“…Then, the compressed estimations are reconstructed in full dimension form with a reconstruction algorithm. At last, the nodes update their estimations with normalized least mean square algorithm. …”
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New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data by Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo

“…In contrast to the existing works, the new algorithm incorporates affine transformations with the robust regression to tackle the potential effects of outliers and heavy sparse noises, occlusions and illuminations. …”
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Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images by Peipei Zhang, Guokun Xie, Jinsong Zhang

“…Meanwhile, a fine detection algorithm uses the Gaussian function to fuse the confidence value of sea-land segmentation results and the coarse detection results. …”
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Multiobjective Optimization Design of Truss Antenna by Di Wu, Xiaofei Ma, Jinbao Chen, Chuanzhi Chen, Jiang Zhao, Kunyang Lin

“…In order to receive the optimal design of the truss structure, this paper adopts the multiobjective optimization algorithm based on an approximate model to optimize the tolerance model with random error. …”
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Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems by DING Kai, JIANG Chaoyue, TAO Ming, XIE Renping

“…Finally, the delay and energy consumption requirements of tasks were modeled, and the optimization problem of minimizing system cost was constructed under resource constraints, which was transformed into Markov decision process (MDP) and solved with deep deterministic policy gradient (DDPG) algorithm. Simulation experiments show that the proposed architecture and scheduling algorithm exhibit excellent performance in reducing both latency and energy consumption, and provide a new idea for efficient data fusion and arithmetic optimization in multi-sensor systems.…”
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Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

“…By generating synthetic minority samples using awKDE, the algorithm adaptively balances class distributions, ensuring robustness in evolving environments. …”
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