Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm by Zheng Qin, Zhaoting Liu

“…We reformulate this non-smooth optimization problem as the task of finding a saddle point of a convex–concave objective and develop a distributed primal–dual hybrid gradient (dPDHG) algorithm for this purpose. Theoretical analyses guarantee the convergence of the proposed algorithm under mild assumptions, while experimental results show that the dPDHG algorithm converges significantly faster than subgradient-based schemes.…”
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Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection by Yong Lu, Minghao Sun

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Optimized Partial Band Preamble and Timing Synchronization Algorithm for Orthogonal Time Frequency Space System by Wenchao Zhang, Xiaochen Lu, Guangliang Ren, Lirui Shen

“…Simulation results show that, compared with the available best performance benchmark algorithm, the proposed method achieves a 2dB signal-to-noise ratio gain under the same capture probability, and its root mean square error of timing offset estimation is only 1/3 that of the available benchmark algorithm.…”
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Maximum Principle-Preserving Computational Algorithm for the 3D High-Order Allen–Cahn Equation by Junseok Kim, Youngjin Hwang

“…We propose an unconditionally stable computational algorithm that preserves the maximum principle for the three-dimensional (3D) high-order Allen–Cahn (AC) equation. …”
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AS-Faster-RCNN: An Improved Object Detection Algorithm for Airport Scene Based on Faster R-CNN by Zhige He, Yuanqing He

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Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases by R. Beigzadeh, R. Ozairy

“…The artificial neural network (ANN) approach was applied to develop simple correlations for predicting the thermal conductivity of nitrogen-methane and carbon dioxide-methane mixtures. The genetic algorithm method was used to obtain global optimum parameters (weights and biases) of the ANNs. …”
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Intelligent irrigation strategy model for farmland using dung beetle optimization-random forest algorithms by Wenwen Hu, Yong Liu, Jun An, Shipu Xu, Zhiwen Zhou, Mingming An, Xiaokun Guo, Xiang Ma, Wenfei Jiang, Yunsheng Wang

“…The obtained results demonstrated that the DBO algorithm significantly could enhance the Random Forest (RF) model's predictive accuracy, the Mean Absolute Error (MAE) and the Mean Square Error (MSE) were reduced to 0.30321 and 0.16382 respectively, the coefficient of determination (R²) had increased to 0.86255. …”
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Surface mine personnel object video tracking method based on YOLOv5- Deepsort algorithm by Jie Jiang, Guoliang Xie, Junjian Cui, Mingxiang Guo

“…Subsequently, the Deepsort algorithm is utilized to track the target personnel in real time. …”
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Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution by Gang XIE, Quanyi WANG, Xinlin XIE, Jian’an WANG

“…Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution was proposed.First, a multi-scale strip feature extraction module (MSEM) was constructed based on deep convolution to enhance the representation ability of thin strip target features at different scales.Secondly, a spatial detail auxiliary module (SDAM) was designed using the convolutional inductive bias feature in the shallow network to compensate for the loss of deep spatial detail information to optimize object edge segmentation.Finally, an asymmetric encoding-decoding network based on the Transformer-CNN framework (TC-AEDNet) was proposed.The encoder combined Transformer and CNN to alleviate the loss of detail information and reduce the amount of model parameters; while the decoder adopted a lightweight multi-level feature fusion design to further model the global context.The proposed algorithm achieves the mean intersection over union (mIoU) of 78.63% and 81.06% respectively on the Cityscapes and CamVid traffic scene public datasets.It can achieve a trade-off between segmentation accuracy and model size in traffic scene semantic segmentation and has a good application prospect.…”
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PREDICTION OF ECONOMIC GROWTH RATE OF TUBAN REGENCY WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM ALGORITHM by Maya Muaziza, Ahmad Zaenal Arifin, Suzatmo Putro

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Dosimetric Impact of AAA and AXB Dose Calculation Algorithm in VMAT Treatment Planning for Rectal Tumors by Karthikeyan Srinivasan, Sureka Chandrasekaran Sekaran, Suresh Thangavelu, M. S. Belliappa

“…Aim: The study aims to compare the accuracy of Anisotropic Analytical Algorithm (AAA) and acuros XB (AXB) dose calculation algorithms for radiotherapy (RT) planning of rectal tumors. …”
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Application of Lightweight Target Detection Algorithm Based on YOLOv8 for Police Intelligent Moving Targets by Yanjie Zhang, Xiaojun Liu, Yuehan Shi, Zecong Ding, Xiaoming Zhang

“…The police intelligent moving target must deploy target detection algorithms on the hardware platform, but the traditional you only look once (YOLO)v8 algorithm has a large framework, which will slow recognition due to the hardware platform’s lack of arithmetic power. …”
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Prediction of Surface Settlement Induced by Large-Diameter Shield Tunneling Based on Machine-Learning Algorithms by Chao Li, Jinhui Li, Zhongqi Shi, Li Li, Mingxiong Li, Dianqi Jin, Guo Dong

“…Among the three machine-learning algorithms, the LSTM algorithm gives the best accuracy in predicting the maximum surface settlement and can effectively predict the settlement development in different strata.…”
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QSAR modeling of antimalarial activity of urea derivatives using genetic algorithm–multiple linear regressions by Abolghasem Beheshti, Eslam Pourbasheer, Mehdi Nekoei, Saadat Vahdani

“…The important descriptors were selected with the aid of the genetic algorithm (GA) method. The obtained model was validated using leave-one-out (LOO) cross-validation; external test set and Y-randomization test. …”
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Att-BEVFusion: An Object Detection Algorithm for Camera and LiDAR Fusion Under BEV Features by Peicheng Shi, Mengru Zhou, Xinlong Dong, Aixi Yang

“…This paper evaluates the effectiveness of the Att-BEVFusion fusion algorithm on the nuScenes dataset, and the results demonstrate that the algorithm achieved 72.0% mean average precision (mAP) and 74.3% nuScenes detection score (NDS), with an advanced detection accuracy of 88.9% and 91.8% for single-item detection of automotive and pedestrian categories, respectively.…”
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XGBoost algorithm optimized by simulated annealing genetic algrithm for permeability prediction modeling of carbonate reservoirs by Changbing Huang, Xinyu Zhu, Mingyu Lu, Yuling Zhang, Shengbo Yang

“…The results show that the prediction results of SA-GA-XGBoost algorithm are more consistent with the core data. The adjusted $${R}^{2}$$ is 0.876, and the root mean square error (RMSE) is only 0.142. …”
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A smart pen prototype with adaptive algorithms for stabilizing handwriting tremor signals in Parkinson’s disease by Jéssica Cristina Tironi, Anita Fernandes, Renata Coelho Borges, Luis Augusto Silva, Wemerson Delcio Parreira

“…Simulation results revealed that although the RLS algorithm achieved the lowest mean square error, the Kalman Filter converged approximately eight times faster, a finding that was confirmed through microcontroller tests and further validated on an orbital shaking table under constant and variable tremor conditions. …”
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Research on the Particle Filter Single-Station Target Tracking Algorithm Based on Particle Number Optimization by Lieping Zhang, Jinghua Nie, Shenglan Zhang, Yanlin Yu, Yong Liang, Zuqiong Zhang

“…First, a single-station target tracking model was established, and the corresponding PF algorithm was designed. Next, a tracking simulation experiment was carried out on the PF target tracking algorithm under different numbers of particles with the root mean square error (RMSE) and filtering time as the evaluation indexes. …”
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Automatic cutting and suturing control system based on improved FP16 visual recognition algorithm by Jiayin Wang, Weidong Zhao

“…The DarkPose image key point localization algorithm and the Yolov5 image detection algorithm are utilized to accurately determine the positions of surgical instruments, suture needles, and target points. …”
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Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

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