Direction of Arrival Estimation Algorithm for Underwater Distributed Sources Based on Deep Neural Network by Yinian LIANG, Jie LI, Fangjiong CHEN, Fei JI, Hua YU

“…The proposed method is compared with four traditional subspace-based methods and one deep convolutional neural network algorithm, and the results show that the root mean square error of the proposed method under the coherently distributed source case is 0.42° lower than that of other methods under different signal-to-noise ratios(SNRs) and snapshots; under the incoherently distributed source case, the RMSE of the proposed method is 0.04° lower than that of other methods with SNR greater than 0 dB and snapshots greater than 600. …”
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Innovative design of wood texture images for indoor furniture based on variable space by Chuan Xue, Ling Jin

“…In terms of image deblurring, the research algorithm had the lowest root mean square error values on the France and Boat datasets, with values of 8.98 and 8.82, respectively, indicating that the image processed by the algorithm had a high similarity with the real image. …”
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Multibit image watermarking algorithm resistant to geometric attacks based on level set method

“…A multibit watermarking algorithm based on level set method was proposed.First,the stable location of the unit disk was found using level set method.Then,pseudo-Zernike moments were calculated.At last,the watermark was embedded by modifying the pseudo-Zernike moments.In the extraction process,the root-mean-square-error method was employed to detect the watermark.Simulation results show that the algorithm overcomes the defect of the traditional al-gorithm based on pseudo-Zernike moments,while be robust against geometric attacks.…”
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A Comprehensive Review of Unobtrusive Biosensing in Intelligent Vehicles: Sensors, Algorithms, and Integration Challenges by Shiva Maleki Varnosfaderani, Mohd. Rizwan Shaikh, Mohamad Forouzanfar

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Current diagnostic algorithms for chronic heart failure with preserved left ventricular ejection fraction by Ya. Yu. Maistrovych, M. Yu. Kolesnyk

“…Chronic heart failure remains one of the main causes of mortality and reduced life quality both in Ukraine and around the world. …”
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Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md Maeen Molla, Md Sifat Hossain, Md Ayub Ali, Md Raqibul Islam, Mst Papia Sultana, Dulal Chandra Roy

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Electromyogram based muscle stress estimation of Gastrocnemius medialis using Machine learning algorithms by Amol Kumar, Manoj Duhan, Poonam Sheoran

“…Many features have been extracted, including mean absolute value (MAV), average, skewness, kurtosis, zero crossing (ZC), slope sign change (SSC), waveform length (WL), mean frequency (MNF), median frequency (MDF), power spectral density (PSD), short-time Fourier transform (STFT) and wavelet transform (WT). …”
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Cooperative Spectrum Sensing Algorithm Based on CS-SLIM Iterative Minimization Sparse Learning by Ning Cao, Xiaowen Hu, Hao Lu, Minghe Mao

“…It is also proved that the algorithm is suitable for sparse signal reconstruction and wideband spectrum sensing in C-WSN.…”
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Tool Wear Estimation in the Milling Process Using Backpropagation-Based Machine Learning Algorithm by Giovanni Oliveira de Sousa, Pedro Oliveira Conceição Júnior, Ivan Nunes da Silva, Dennis Brandão, Fábio Romano Lofrano Dotto

“…Although only a simple backpropagation algorithm was used, the results were adequate to demonstrate a balance between accuracy and computational resource usage.…”
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Deep Learning Approach for Arm Fracture Detection Based on an Improved YOLOv8 Algorithm by Gerardo Meza, Deepak Ganta, Sergio Gonzalez Torres

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Successive interference cancellation receiver algorithms for uplink STBC coded MC-CDMA systems by ZENG Yan-xing, YIN Qin-ye, DENG Ke, DENG Jian-guo

“…A QR decomposition based and a minimum mean square error （MMSE） based successive interference cancel-lation receiver algorithms were proposed for the uplink of space-time block coded multi-carrier code division multiple access （MC-CDMA） systems. …”
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Prediction of Interest Rate Using Artificial Neural Network and Novel Meta-Heuristic Algorithms by Milad Shahvaroughi Farahani

“…Finally, we have compared different algorithms due to their estimation errors. The main contribution of this paper is that, first, this is for the first time which these novel metaheuristic algorithms have been used for the prediction of interest rate. …”
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ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

“…An algorithm to detect the main signs of fire for video surveillance systems, which allows the detection of smoke, open flames, and their combination on dynamic images is proposed. …”
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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…. • Addresses the data imbalance and improves model generalization, the oversampling technique is applied for data augmentation.The prediction model employs a Deep Recurrent Neural Network (DRNN) optimized by Fractional Addax Optimization 34 Algorithm (FAOA), a hybrid of Addax Optimization Algorithm (AOA) and Fractional Concept (FC), designed to perform 35 influenza virus host prediction. …”
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Weakly supervised semantic segmentation and optimization algorithm based on multi-scale feature model by Changzhen XIONG, Hui ZHI

“…In order to improve the accuracy of weakly-supervised semantic segmentation method,a segmentation and optimization algorithm that combines multi-scale feature was proposed.The new algorithm firstly constructs a multi-scale feature model based on transfer learning algorithm.In addition,a new classifier was introduced for category prediction to reduce the failure of segmentation due to the prediction of target class information errors.Then the designed multi-scale model was fused with the original transfer learning model by different weights to enhance the generalization performance of the model.Finally,the predictions class credibility was added to adjust the credibility of the corresponding class of pixels in the segmentation map,avoiding false positive segmentation regions.The proposed algorithm was tested on the challenging VOC 2012 dataset,the mean intersection-over-union is 58.8% on validation dataset and 57.5% on test dataset.It outperforms the original transfer-learning algorithm by 12.9% and 12.3%.And it performs favorably against other segmentation methods using weakly-supervised information based on category labels as well.…”
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A Novel Capacity Estimation Method for Lithium-Ion Batteries Based on the Adam Algorithm by Yingying Lian, Dongdong Qiao

“…In this paper, we propose multiple machine learning algorithms to estimate the capacity using the incremental capacity (IC) curve features, including the adaptive moment estimation (Adam) model, root mean square propagation (RMSprop) model, and support vector regression (SVR) model. …”
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Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

“…Their performance is assessed based on mean-squared error, coefficient of determination, training time, and standard deviation. …”
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PARALLEL ALGORITHM FOR THREE-DIMENSIONAL STOKES FLOW SIMULATION USING BOUNDARY ELEMENT METHOD by D. G. Pribytok, E. N. Seredin

“…A comparison of time consumption for three main algorithms on the example of calculation of viscous fluid motion in three-dimensional cavity is performed.…”
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Telescope Alignment Method Using a Modified Stochastic Parallel Gradient Descent Algorithm by Min Li, Xin Liu, Junbo Zhang, Hao Xian

“…In this paper, a wavefront sensorless method based on a modified stochastic parallel gradient descent algorithm (SPGD) called the adaptive moment estimation SPGD (Adam SPGD) algorithm is proposed. …”
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