Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

“…Subsequently, a hybrid algorithm model based on non-negative matrix factorization and block term decomposition is used to fuse remote sensing images. …”
Get full text

Hybrid Crow Search Algorithm–LSTM System for Enhanced Stock Price Forecasting by Chang-Long Jiang, Yi-Kuang Tsai, Zhen-En Shao, Shih-Hsiung Lee, Cheng-Che Hsueh, Ko-Wei Huang

“…This system allows investors to effectively avoid risks and enhance profits by predicting the closing price the following day. This method utilizes a stacking ensemble of long short-term memory (LSTM) networks, with the crow search algorithm (CSA) optimizing the weights assigned to the predictions from multiple LSTM models. …”
Get full text

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Numerical experiments predicting the electronic structural properties of metal–organic frameworks show that the developed model achieves state-of-the-art performance. Moreover, the proposed model was applied to predict the heat capacity and thermal decomposition temperature of material, demonstrating the ability of this method to effectively generalise multiscale prediction tasks.…”
Get full text

Towards an RFI Mitigation Algorithm in Synthetic Aperture Interferometer Radiometry: Application to the SMOS Space Mission by Ali Khazaal

“…Comparison with ocean model BT confirms that the corrected BT remains physically consistent and aligned with model expectations. …”
Get full text

Design of an Intervention and Education System for Children with Emotional Disorders Based on Semantic Analysis by Ruifang Yang, Yiqun Wang

“…This paper acquires video data by deploying a common camera acquisition and transforms, annotates, frames, and processes the data with the help of feature engineering methods. In addition, this paper proposes a fine-grained action decomposition strategy to solve the problem of extreme imbalance in the dataset to improve the performance of the model and proposes an iterative sampling data fusion strategy, which aims to integrate and fuse data from multiple sources to make them more effective and further improve the robustness and generalization ability of the model. …”
Get full text

Feature Extraction from Regenerated EEG – A Better Approach for ICA Based Eye Blink Artifact Detection by Maliha Rashida, Mohammad Ashfak Habib

“…For almost all features, ReEEG-based approach achieved up to 12.25% higher accuracy, 24.95% higher precision, 13.49% higher recall, and 12.89% higher f1 score than the IC-based traditional method. Conclusion: The proposed model will be useful for researchers in dealing with the eye blink artifacts of EEG signals with more efficacy. …”
Get full text

Development of a premix based on micellar casein for fortification of meat systems with vitamin A by N. A. Dzhangiryan, V. I. Shipulin, D. N. Volodin

“…The use of the casein micelles protection made it possible to increase the number of retinol molecules that did not undergo decomposition under model conditions (in vitro) from ~30% to ~80%. …”
Get full text

TOOL WEAR STATE MONITORING BASED ON WAVELET PACKET BP＿ADABOOST ALGORITHM by ZHU Xiang, XIE Feng

“…Aiming at the problems of less tool wear state data,low diagnostic efficiency,high maintenance cost and lack of effective diagnostic methods during CNC machine tool processing,A method of extracting features by wavelet packet analysis and kernel principal component analysis,and using BPAda Boost algorithm to diagnose tool wear state is proposed.The tool vibration signal and the cutting force signal are collected by installing an acceleration sensor on the machined workpiece of the numerical control machine tool and a force gauge on the workbench; Then the wavelet packet decomposition is performed on the signal to pass the signal through the low-pass filter and the high-pass filter of different dimensions,so that the conditional selection can be performed to form the energy value corresponding to the different frequency bands. …”
Get full text

The Evaluation of the Number and the Entropy of Spanning Trees on Generalized Small-World Networks by Raihana Mokhlissi, Dounia Lotfi, Joyati Debnath, Mohamed El Marraki, Noussaima EL Khattabi

“…We introduce their construction and their structural properties which are built in an iterative way. We propose a decomposition method for counting their number of spanning trees and we obtain the exact formulas, which are then verified by numerical simulations. …”
Get full text

Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…An intelligent fault severity detection method based on variational mode decomposition- (VMD-) Wigner-Ville distribution (WVD) and sparrow search algorithm- (SSA-) optimized deep belief network (DBN) is suggested to address the problem that typical fault diagnostic algorithms are inappropriate for extremely comparable vibration signals when the samples are insufficient. …”
Get full text

The Relationship Between Economic Growth and Foreign Aid: The Case of Afghanistan by Muhammad Akbar Farahmand

“…Finally, the results of variance decomposition support the result of the Granger causality test.…”
Get full text

Mechanical Behaviors of Electrostatic Microbeams with Nonideal Supports by Yunxia Chang, Qichang Zhang, Wei Wang, Jianxin Han

“…In this paper, we consider the neutral plane tension, fringing field, and nonideal boundary factors to establish a continuum model of electrostatically driven microbeam resonators. …”
Get full text

Performance optimization of electrical equipment in high-altitude photovoltaic power stations based on PSO–MOEAD algorithm by Zhijun Xiao

“…To reduce energy consumption and operation and maintenance costs, a hybrid algorithm based on particle swarm optimization and multi-objective evolutionary decomposition algorithm is proposed in this study. A multi-objective optimization model that comprehensively considers equipment performance, environmental factors, and economy is constructed by integrating voltage compensation mechanisms and thermal parameter optimization schemes. …”
Get full text

Detection Technology for Catenary Stagger Value Based on Acceleration Signals by CHEN Hongming, ZHOU Ning, LU Wenwei, YANG Zixian, CHENG Yao, WANG Dong, ZHANG Weihua

“…Subsequently, the computed indicator and operating speed are used as input features to train, test, and validate an RF model. ［Result & Conclusion］ The proposed method accurately detects catenary stagger values across various operating speeds, achieving a root mean square error as low as 5.84, outperforming other existing algorithms. …”
Get full text

Analysis and comparison of the burden of male breast cancer: differences between the global, China, India, and the United States by Baiping An, Mengqi Che, Yuxin Liu, Xinrong Yang, Zhuohong Li

“…The Joinpoint regression model was used to calculate the annual percentage change (APC) and the average annual percentage change (AAPC). …”
Get full text

Bearing remaining useful life prediction based on optimized VMD and BiLSTM-CBAM. by Wei Liu, Sen Liu

“…Comparative and ablation experiments are conducted on the IEEE PHM 2012 data set to evaluate the proposed method. The experimental results demonstrate that the method achieves lower Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) in bearing RUL prediction compared to the other method models and ablation methods, highlighting the superiority and effectiveness of the proposed approach. …”
Get full text

Joint QoS prediction for Web services based on deep fusion of features by Jianxun LIU, Linghang DING, Guosheng KANG, Buqing CAO, Yong XIAO

“…In order to solve the problem of insufficient accuracy of Web service QoS prediction, a joint QoS prediction method for Web services based on the deep fusion of features was proposed with considering of the hidden environmental preference information in QoS and the common features of multi-class QoS.First, QoS data was modeled as a user-service bipartite graph and multi-component graph convolution neural network was used for feature extraction and mapping, and the weighted fusion method was used for the same dimensional mapping of multi-class of QoS features.Subsequently, the attention factor decomposition machine was used to extract the first-order features, second-order interactive features, and high-order interactive features of the mapped feature vector.Finally, the results of each part were combined to achieve the joint QoS prediction.The experimental results show that the proposed method is superior to the existing QoS prediction methods in terms of root mean square error (RMSE) and average absolute error (MAE).…”
Get full text

Trends and cross-country inequalities in dengue, 1990-2021. by Mingzhu Zhou, Yong He, Liangmiao Wu, Kaiyuan Weng

“…We utilized the GBD database for epidemiological trends, demographic analysis, epidemiological decomposition, cross-national inequality and predictive modeling for the global dengue burden up to 2051 were also performed.…”
Get full text

Improved Deorientation Processing for Polarimetric SAR Data Using a Phenomenological Approach by Reza Bordbari, Andrew J. Hooper

“…We also demonstrated that, an improved polarimetric target decomposition performance is achieved when the proposed deorientation processing is incorporated into model-based decompositions.…”
Get full text

PTCTV-KMC: Infrared Small Target Detection Using Joint Partial Tensor Correlated Total Variation and K-Means Clustering by Zixu Huang, Erwei Zhao, Wei Zheng, Yan Wen, Xiaodong Peng, Wenlong Niu, Zhen Yang

“…In the seed point search stage, a tensor low-rank sparse decomposition model is first used to decompose the IR image into target and background images. …”
Get full text