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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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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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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Application of a Channel Estimation Algorithm to Spectrum Sensing in a Cognitive Radio Context by Vincent Savaux, Moïse Djoko-Kouam, Yves Louët, Alexandre Skrzypczak

“…It can be seen as a second-order detector, since it is performed by means of the minimum mean square error criterion. …”
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Intelligent Recommendation Algorithm of Multimedia English Distance Education Resources Based on User Model by Xiushan Zhang

“…Two groups of experiments were designed based on the mean absolute error (MAE). One group of experiments tested the parameters in the algorithm, and the other group of experiments compared the proposed algorithm with other algorithms. …”
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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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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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Algorithm of Assessing Dynamic Correlation between Time Series Connected by TVP-Regression Model by N. A. Moiseev, G. V. Aivazian

“…As a result with all considered values of dispersion of the process error the advanced algorithm showed best figures in terms of mean-square error of assessed and real correlation. …”
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Weak Edge Detection Algorithm for Medical Images Based on Full Convolution Neural Network by LI Xiao-feng, LI Dong, WANG Yan-wei

“…A weak edge detection algorithm for complex medical images based on full convolution neural network is proposed. …”
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A Hybrid Algorithm for Multi-Beam Steering of LCOS-Based Wavelength Selective Switch by Yunshu Gao, Zhongwei Tan, Xiao Chen, Genxiang Chen

“…In this paper, a three-step hybrid algorithm including IFTA, Symmetrical IFTA with both phase and amplitude freedoms (SIFTA-2) and Genetic algorithm (GA) is developed to optimize the multi-casting hologram and experimentally demonstrated the multi-casting function of WSS. …”
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DC-YOLO: an improved field plant detection algorithm based on YOLOv7-tiny by Wenwen Li, Yun Zhang

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Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…To address the issue of ensuring user quality of service in resource allocation for 6G cell-free radio access network slicing under dynamic service variations, a resource allocation algorithm based on multi-timescale collaborative optimization was proposed. …”
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