An overview of artificial intelligence assisted channel estimation by Kun LI, Jing ZHANG, Xiao LI, Shi JIN

“…As the mainstream of the sixth generation mobile communication development,intelligent communication assisted by artificial intelligence technology is vigorously developing,and has initially demonstrated its advantages over traditional communication methods.As an important component of intelligent communication,artificial intelligence assisted channel estimation shows its superiority over traditional channel estimation algorithms in the existing research results,especially those researches based on compressive sensing technology,super resolution technology,residual learning,etc.Aiming at the channel estimation technology assisted by artificial intelligence,combined with the latest research results in the academic field,the whole picture of the channel estimation technology assisted by artificial intelligence from the four dimensions of deep convolution neural network,deep recurrent neural network,super-resolution technology and compression sensing technology were showed.Finally,the advantages and disadvantages of four kinds of channel estimation methods and their future research directions,and the broad prospect of the combination of channel estimation and deep learning were looked forward.…”
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Analysis of the Tunneling Blast Safety Criterion Based on Longitudinal Shocks by Xiao Wang, Wen-bo Zhao, Hou-you Zhou, Dian-shu Liu

“…Subsequently, the 3D simulation analysis of the tunnel blasting shows an error of 2% compared with on-site monitoring data, meeting engineering requirements. Finally, based on the simulation results, regression prediction function of the velocity curve and effective tensile stress curve under different safety criteria are established, achieving accurate prediction of the damage degree of the host rock and liner line under different engineering requirements.…”
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DESIGN FOR WET BRAKE OF AUTOMOBILE BASED ON THE REAL TIME TEMPERATURE CONTROL SYSTEM by PANG JingLi

“…In order to solve the problems of much heat during braking process,and poor stability in high speed condition of the automobile wet brake,a new type of wet brake based on the layout of real time temperature control was proposed by analyzing the working principle of the layout scheme,a new type of wet brake model was established,finally,the feasibility of the new type wet brake was verified by the bench test method. …”
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Multi frequency hopping network station sorting based on joint feature clustering in complex environment by Zhengyu ZHU, Jiazheng WANG, Jing LIANG, Zhongyong WANG, Kexian GONG

“…In order to remove interference from hybrid signals and sort each frequency hopping station signal, a multi frequency hopping network station sorting algorithm based on joint feature clustering was proposed.Firstly, short-time Fourier transform was applied to the sorted hybrid signals to obtain the time-frequency matrix, and adaptive threshold denoising was carried out according to the energy distribution histogram of time-frequency matrix.Secondly, the sweep interference was removed by morphological filtering.Thirdly, the connected domain was labeled, the duration and average energy of each signal were calculated to remove the fixed frequency interference, and the joint feature vector for each frequency hop was formed.Finally, the MeanShift algorithm was used to cluster and analyze the joint feature vectors of each segment of the signal, completing the sorting of each frequency hopping signal.The simulation results show that the proposed algorithm has higher sorting rate, stronger anti-interference ability and wider applicability to hybrid signals compared with the traditional algorithm.…”
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Beyond Hormone Receptors: liquid biopsy tools to unveil new clinical meanings and empower therapeutic decision-making in Luminal-like metastatic breast cancer by Brenno Pastò, Riccardo Vida, Arianna Dri, Lorenzo Foffano, Serena Della Rossa, Lorenzo Gerratana, Fabio Puglisi

“…Luminal-like tumors primarily benefit from a first line treatment strategy combining endocrine therapy and cyclin-dependent kinase 4/6 inhibitors. However, IHC analyses necessitate invasive procedures and may encounter technical and interpretational challenges. …”
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Evaluation of the Wind Energy Potential in the Coastal Environment of Two Enclosed Seas by Florin Onea, Alina Raileanu, Eugen Rusu

“…Finally, it can be concluded that the coastal environments of the Black and the Caspian Seas can become in the near future promising locations for the wind energy extraction, as well as for the hybrid wind-wave energy farms that could play an important role also in the coastal protection.…”
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Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

“…Our algorithm first utilizes the attention proposal network (APN) to generate attention regions and applies AlexNet to extract the features of attention patches to further reduce computation. Finally, we train our method with deep reinforcement learning to learn the optimal detection policy. …”
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Radio frequency fingerprint data augmentation for indoor localization based on diffusion model by Haojun AI, Weike ZENG, Jingjie TAO, Jinying XU, Hanxiao CHANG

“…The radio frequency fingerprint indoor localization method ensures the accuracy by collecting a sufficient amount of fingerprints in the offline state to build a dense fingerprint database.A data augmentation method called FPDiffusion was proposed based on diffusion model to reduce the cost of fingerprint acquisition.Firstly, a temporal graph representation of the fingerprint sequence was constructed, the forward process of the diffusion model was accomplished by adding Gaussian noise, and a U-Net was utilized for the reverse process.The loss function of the network was designed according to the characteristics of radio frequency fingerprints.Finally, the computational process for generating dense fingerprints based on sparse fingerprints was presented.Experimental results demonstrate that FPDiffusion achieves 76% and 28% localization error reduction on K-nearest neighbor (KNN) and convolutional neural network (CNN) respectively, and significantly improves localization accuracy on KNN compared to Gaussian process regression (GPR) and GPR-GAN when only a small amount of labeled fingerprints is available.…”
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Inclure les « n’ayants pas droit » : Terres collectives et inégalités de genre au Maroc by Yasmine Berriane

“…Through the case of the Mehdawa community, it finally illustrates how the delegates of this community are legitimizing the implementation of the new ministerial directives at the local level by re-adapting the arguments put forward by the State.…”
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Application of Improved EEMD-NNBR Coupling Model in Annual Runoff Prediction by ZHENG Fangfang, WANG Wensheng, ZHANG Lanting

“…This paper firstly decomposes the annual runoff series by the improved EEMD to obtain the intrinsic mode function (IMF) and trend term, and then establishes the NNBR for each IMF and trend term to obtain the predicted values of decomposed series, and accumulates the predicted values to get the annual runoff, finally applies the improved EEMD-NNBR coupling model for the annual runoff prediction of Pingshan Station. …”
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Research Progress of Causal Inference in Bias Elimination by Chen Limanxi

“…Experimental results indicate that although causal inference methods have eliminated bias to some extent, further research and optimization are still needed. Finally, this paper summarizes the previous sections and provides an outlook on future research directions.…”
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Metformin in the treatment of colorectal cancer and neuroendocrine tumours by Karolina Daniłowska, Natalia Picheta, Barbara I. Krupska, Anna Rudzińska, Oliwia Burdan, Katarzyna Szklener

“…The biguanide works by inhibiting the mammalian target of rapamycin pathway, activating 5’AMP activated protein kinase, and reducing insulin-like growth factor 1. …”
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Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach by Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos

“…We observed different criteria in the DPChallenge.com ratings, which had more to do with the photographic quality than with the aesthetic value. Finally, we explored learning systems other than state-of-the-art ones, in order to predict these three values. …”
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Research Progress on the Technology of Phosphorus Release From Waste Activated Sludge by LIAO Jingying, HU Yuna, LI Duokun, HE Haolin, LUO Jincai, DONG Shanyan

“…,physical,chemical,and biological treatment methods),and analyzes the basic principles,suitable operating parameters,and advantages and disadvantages of each treatment method.The analysis results show that the physical and chemical treatment methods can achieve the effect of rapid phosphorus release,but the operating conditions of the physical method are relatively intense,and the chemical method has a large demand for reagents.The combination of anaerobic fermentation with physical or chemical methods is one of the ideal ways to improve phosphorus release and recovery efficiency.Finally,it is proposed that the focus of future research will be the chemical substances with mild properties or non-violent physical treatment methods in the phosphorus release process,as well as the impacts of the transformation of organic matter in sludge on the phosphorus release and recovery mechanism.…”
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PREDICTION OF FLAT RING FATIGUE LIFE OF SCRAPER CHAIN BASED ON TEST DATA by MAO Jun, WANG HongTao, XIE Miao, ZHENG Wei

“…The stress and strain results are obtained, and the weak key points are found.Finally, based on the results of static strength analysis, the fatigue load of flat ring was simulated by ANSYS nCode DesignLife.The simulation results show that the fatigue life of the flat ring of the scraper conveyor is 30750 cycles, and the chain link is 61500 times.The life conclusion can provide important reference for the later maintenance, replacement and structural optimization of the scraper chain.…”
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Use of Rituximab in Autoimmune Hemolytic Anemia Associated with Non-Hodgkin Lymphomas by Claudio Fozza, Maurizio Longinotti

“…We will then analyze some studies focusing on rituximab in primary AHA, finally reviewing the available literature on the use of this drug in NHL related AHA.…”
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Infiltrating T lymphocytes and tumor microenvironment within cholangiocarcinoma: immune heterogeneity, intercellular communication, immune checkpoints by Yunyan Dai, Chenyang Dong, Zhiming Wang, Yunpeng Zhou, Yi Wang, Yi Hao, Pinggui Chen, Chaojie Liang, Chaojie Liang, Gaopeng Li, Gaopeng Li

“…In this review, we describe the heterogeneous immune landscape and intercellular communication in cholangiocarcinoma and summarize the specific distribution of T lymphocytes. Finally, we review potential immune checkpoints in cholangiocarcinoma.…”
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Seismic Response Reduction of Structures Equipped with a Voided Biaxial Slab-Based Tuned Rolling Mass Damper by Shujin Li, Liming Fu, Fan Kong

“…They were achieved by deterministic dynamic modeling using Lagrange’s equation and the statistical linearization method. Finally, the promising control efficacy obtained from the deterministic/stochastic analysis confirmed the potential application of this newly proposed control device.…”
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Model Calibration and Validation for the Fuzzy-EGARCH-ANN Model by Geleta T. Mohammed, Jane A. Aduda, Ananda O. Kube

“…To our knowledge, this is the first study that focuses on the daily S&P 500 data using high-frequency data and the fuzzy-EGARCH-ANN econometric model. Finally, the research finds that the best performing model in terms of one-step-ahead forecasts based on realized volatility computed from the underlying daily data series is the fuzzy-EGARCH-ANN (1,1,2,1) model with Student’s t-distribution.…”
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Pattern synthesis method for arbitrary arrays with desired mainloble response by Dian-fei PAN, Nai-ping CHENG

“…A pattern synthesis method based on adaptive array theory and convex optimization principle was proposed for arbitrary arrays,especially considering the influence of different orientation on array pattern.Firstly,the array pattern with special sideloble shape is obtained by adaptive array theory method; and then,the mainloble pointing to 0° is taken as reference to determine the pattern mainloble with variant steering angle.Finally,the optimal array pattern synthesis with desired mainloble response is converted to a second-order cone programming problem.The resulting optimization problem is nonconvex and is implemented via iterative algorithms of convex optimization,which can be solved using the second-order cone programming method at each iteration.Taking the method developed can obtain satisfied mainlobe response and less synthesized error in sideloble region.Theoretical analyses and simulation results show that the synthe-sized pattern has the same mainloble performance as the desired mainlabole in different orientation,and also the sideloble can maintain the shape to suppress the dynamic interference.…”
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