A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting by Essam H. Houssein, Meran Mohamed, Eman M. G. Younis, Waleed M. Mohamed

“…Additionally, we contrast our methodology with recently created models that have been published in the literature, such as the Grey Wolf Optimizer (GWO), Salp Swarm Algorithm (SSA), Henry Gas Solubility Optimization (HGSO), Barnacles Mating Optimizer (BMO), Whale Optimization Algorithm (WOA), and Manta Ray Foraging Optimization (MRFO). …”
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Application of Surface Roughness Analysis on Micro–Computed Tomographic Images of Bone Erosion: Examples Using a Rodent Model of Rheumatoid Arthritis by Matthew D. Silva, Jason Ruan, Elizabeth Siebert, Anneli Savinainen, Bruce Jaffee, Lisa Schopf, Sudeep Chandra

“…The main advantage of such an algorithm is demonstrated in the preclinical drug study of rat CIA with methotrexate treatment, indicating the immediate utility of this approach in drug development studies.…”
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Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control by Hongxiang Chen, Xiuli Zhang, Mingguo Zhao

“…TP-MPC is utilized to optimize the rough planning’s reference trajectory, while WBC is employed to follow the optimized trajectory. The algorithm is tested through simulations of a humanoid robot performing continuous squatting motions. …”
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Instance Transfer Learning with Multisource Dynamic TrAdaBoost by Qian Zhang, Haigang Li, Yong Zhang, Ming Li

“…Finally, experimental results show that the proposed algorithm has higher classification accuracy.…”
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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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Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…Recent advancements in Plug-and-Play (PnP) algorithms have shown promise for solving imaging inverse problems by utilizing the capabilities of Gaussian denoising algorithms to handle complex optimization tasks. …”
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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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Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network by Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang

“…Extensive results show that the algorithm achieves high detection rates for both binary and multiple classifications.…”
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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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A secure and robust color image watermarking method using SVD and GAT in the multiresolution DCHWT domain by Boubakeur Latreche, Hilal Naimi, Slami Saadi

“…Additionally, a reliable extraction algorithm is devised to recover the watermark from potentially compromised watermarked images without requiring access to the original image. …”
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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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Identifying preseizure state in intracranial EEG data using diffusion kernels by Dominique Duncan, Ronen Talmon, Hitten P. Zaveri, Ronald R. Coifman

“…In addition, this method is adapted to the icEEG data and enables the extraction of the underlying brain activity.   The algorithm is tested on icEEG data recorded from several electrode contacts from a patient being evaluated for possible epilepsy surgery at the Yale-New Haven Hospital. …”
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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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Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

“…In recent years, many face image feature extraction and dimensional reduction algorithms have been proposed for linear and nonlinear data, such as local-based graph embedding algorithms or fuzzy set algorithms. …”
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