Architectural design methods based on image recognition technology and virtual VR by Feng Li

“…To enhance the conceptual expression of architectural design and enhance the interactive experience, and to strengthen the application of computer technology in architectural design drawings, this study explores architectural design methods on the ground of image deep learning image recognition technology and augmented reality technology. …”
Get full text

Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…In this regard, this paper proposes a tactical intent-driven method for autonomous air combat behaviour generation. …”
Get full text

Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

“…Aiming at the impulsive noise occurring in MIMO-OFDM systems， a joint channel and impulsive noise estimation method based on the multiple measurement vector compressed sensing theory was proposed.The channel impulse response and the impulsive noise were combined to form a row sparse matrix to be estimated， and a multiple measurement vector compressed sensing model based on all subcarriers was constructed.As the measurement matrix was partially unknown due to the presence of unknown transmitted symbols in data tones， the multiple response sparse Bayesian learning theory and expectation maximization framework were adopted to jointly estimate the channel impulse response， the impulsive noise， and the data symbols which were regarded as unknown parameters.Compared with the existing methods， the proposed method not only utilizes all subcarriers but also does not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed method achieves significant improvement on the channel estimation and bit error rate performance.…”
Get full text

An Evidential Solar Irradiance Forecasting Method Using Multiple Sources of Information by Mohamed Mroueh, Moustapha Doumiati, Clovis Francis, Mohamed Machmoum

“…This study proposes an innovative approach to solar irradiance forecasting based on the theory of belief functions, introducing a novel and flexible evidential method for short-to-medium-term predictions. The proposed machine learning model is designed to effectively handle missing data and make optimal use of available information. …”
Get full text

Using the Remote Sensing Method to Simulate the Land Change in the Year 2030 by Burcu Degerli, Mehmet Çetin

Get full text

Trading support method based on computational intelligence for speculators in the options market by Nijolė Maknickienė, Algirdas Maknickas, Raimonda Martinkutė-Kaulienė

Get full text

CTA image segmentation method for intracranial aneurysms based on MGLIA net by Lijie Hou, Jian Zhang, Lihui Zhao, Ke Meng, Xin Feng

“…Currently, the segmentation methods for intracranial aneurysms using CTA big data and deep learning lack universality. …”
Get full text

3D Human Motion Capture Method Based on Computer Vision by A. D. Obukhov, D. L. Dedov, E. O. Surkova, I. L. Korobova

Get full text

A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…Especially on the test set, compared with the traditional interpolation method (Bicubic) and the existing deep learning methods (SRGAN and Internal–External), the PSNR results of this model are improved by 2.03%, 0.43%, and 2.58%, respectively.…”
Get full text

Face recognition method based on convolutional neural network and distributed computing by Liu Yanyu, Zhang Liu, Zhang Dawei

“…The model is also trained using a multitask learning method for face identity recognition, fatigue state recognition, age recognition, and gender recognition. …”
Get full text

Rethinking the 'best method' paradigm: The effectiveness of hybrid and multidisciplinary approaches in chemoinformatics by José L. Medina-Franco, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández, Edgar López-López

Subjects: Get full text

RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

“…The results show that the Average CRA of the CVHNet method proposed in this paper is 0.9195 under three different working conditions. …”
Get full text

Stegan detection method for latent images for intellectual property protection systems by F. B. Tebueva, M. G. Ogur, I. V. Mandritsa, A. B. Chernyshev, G. I. Linets, V. P. Mochalov

“…Improving the quality of detection and stego-detection of latent images embedded in the protected object of intellectual property by various methods. Method. The method for stego-detection of latent images based on deep learning is proposed. …”
Get full text

Webshell malicious traffic detection method based on multi-feature fusion by Yuan LI, Yunpeng WANG, Tao LI, Baoqiang MA

Get full text

An intrusion detection method based on depthwise separable convolution and attention mechanism by Zhifei ZHANG, Feng LIU, Yiyang GE, Shuo LI, Yu ZHANG, Ke XIONG

Get full text

CASSC: Context‐aware method for depth guided semantic scene completion by Jinghao Cao, Ming Li, Sheng Liu, Yang Li, Sidan Du

Get full text

Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

“…Aiming at the impulsive noise occurring in MIMO-OFDM systems， a joint channel and impulsive noise estimation method based on the multiple measurement vector compressed sensing theory was proposed.The channel impulse response and the impulsive noise were combined to form a row sparse matrix to be estimated， and a multiple measurement vector compressed sensing model based on all subcarriers was constructed.As the measurement matrix was partially unknown due to the presence of unknown transmitted symbols in data tones， the multiple response sparse Bayesian learning theory and expectation maximization framework were adopted to jointly estimate the channel impulse response， the impulsive noise， and the data symbols which were regarded as unknown parameters.Compared with the existing methods， the proposed method not only utilizes all subcarriers but also does not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed method achieves significant improvement on the channel estimation and bit error rate performance.…”
Get full text

Research on a Burn Severity Detection Method Based on Hyperspectral Imaging by Sijia Wang, Minghui Gu, Mingle Zhang, Xin Tan

“…MBNet provides a reliable and efficient method for clinical burn severity assessment. A comparison of MBNet with seven typical machine learning algorithms on a custom dataset demonstrates that MBNet significantly outperforms these methods in terms of accuracy.…”
Get full text

Partial-Net: A Method for Data Gaps Reconstruction on Mars Images by Depei Gu, Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

“…To address these issues, we propose a method termed Partial-Net, which is suitable for data gaps filling with respect to the Martian surface images. …”
Get full text

QL-STCT: an intelligent routing convergence method for SDN link failure by Chuanhuang LI, Yangting CHEN, Jingjing TANG, Jiali LOU, Renhua XIE, Chuntao FANG, Weiming WANG, Chao CHEN

“…Aiming at the problem of routing convergence when SDN link failure occurs, a Q-Learning sub-topological convergence technique (QL-STCT) was proposed to realize intelligent route convergence when SDN links fail.Firstly, some nodes were selected in the network as hub nodes and divides the hub domains according to the hub nodes, and the regional features were constructed with the hub domain as the unit.Secondly, the reinforcement learning agent exploration strategy was proposed by using the features to accelerate the convergence of reinforcement learning.Finally, a sub-topology network was constructed through reinforcement learning to plan the alternate path and ensure the performance of the alternate path in the periodic window.Experimental simulation results show that the proposed method effectively improves the convergence speed and performance of the link failure network.…”
Get full text