Mobile Performance Intelligent Evaluation of IoT Networks Based on DNN by Zhen Tang, Xiaobin Fu, Pingping Xiao

“…Employing the deep neural network (DNN), an OP intelligent prediction algorithm is proposed. …”
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Heston-GA Hybrid Option Pricing Model Based on ResNet50 by Zheng Yang, Liqin Zhang, Xiangxing Tao, Yanting Ji

“…Heston model is combined with ResNet50 convolutional neural network model. Based on the optimization of Heston model parameters by genetic algorithm (GA), ResNet50 model is used to correct the deviation between market option price and Heston price, so a new hybrid option pricing model is established based on the empirical research on the European call options of Huatai-PB CSI 300ETF (code 510300), Harvest CSI 300ETF (code 159919), and SSE 50ETF (code 510050). (3) Results. …”
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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

“…Despite the success of PLMs in various tasks, our results demonstrate that a combination of Convolution Neural Network (CNN) and Long Short-Term Memory (LSTM) layers yields the best performance, achieving a test accuracy of 93.85%.…”
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Graph-Based Node Finding in Big Complex Contextual Social Graphs by Keshou Wu, Guanfeng Liu, Junwen Lu

“…Targeting this challenging problem, we propose a recurrent neural network- (RNN-) based Monte Carlo Tree Search algorithm (RN-MCTS), which automatically balances exploring new possible matches and extending existing matches. …”
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Deep learning for stage prediction in neuroblastoma using gene expression data by Aron Park, Seungyoon Nam

“…Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. …”
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Weather Radar Image Superresolution Using a Nonlocal Residual Network by Haoxuan Yuan, Qiangyu Zeng, Jianxin He

“…Inspired by the striking performance of the convolutional neural network (CNN) applied in feature extraction and nonlocal self-similarity of weather radar images, we proposed a nonlocal residual network (NLRN) on the basis of CNN. …”
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Energy-Efficient Robust Control for Direct Drive and Energy Recuperation Hydraulic Servo System by Weiping Wang, Jiyun Zhao

“…To compensate for the uncertainties, both in the variable supply pressure control circuit and the robust controller, the RBF neural network is employed to approximate the unknown function. …”
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3D Large-Pose Face Alignment Method Based on the Truncated Alexnet Cascade Network by Qian Zhang, Hao Zheng, Tao Yan, Jiehui Li

“…The parallel convolution pooling layers are added for concatenating parallel results in the original deep convolution neural network, which improves the accuracy of the output. …”
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Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm by Juan Du, Mingqi Guo

“…First, the research status of risk assessment of wireless mobile communication system at home and abroad is analyzed, and the risk assessment index system of wireless mobile communication system is established; then, the learning samples are collected according to the risk assessment index system of wireless mobile communication system, and artificial intelligence algorithm is used to optimize the neural network. Build the wireless mobile communication system risk assessment model; finally, carry out the wireless mobile communication system risk assessment simulation comparison test. …”
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Detection for Dangerous Goods Vehicles in Expressway Service Station Based on Surveillance Videos by Kai Huang, Qinpei Zhao

“…Next, we use a convolutional neural network to detect dangerous goods vehicles from the original images. …”
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Intelligent Prediction of Sieving Efficiency in Vibrating Screens by Bin Zhang, Jinke Gong, Wenhua Yuan, Jun Fu, Yi Huang

“…By the examination of testing points, the prediction performance of least square support vector machine is better than that of the existing formula and neural network, and its average relative error is only 4.2%.…”
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Optimization of Temperature-Control Measures for Concrete Structures: A Case Study of the Sluice Project by Yaoying Huang

“…In this paper, we investigate crack prevention in sluice pier concrete as a multiple-factor system optimization problem and investigate an optimization method for temperature-control measures using the uniform design method and a neural network model. The minimum ratios for the internal and surface points of the sluice pier concrete are taken as inputs, and the corresponding combinations of temperature-control parameters based on the uniform design method are taken as outputs. …”
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Estimating the Ultimate Bearing Capacity for Strip Footing Near and within Slopes Using AI (GP, ANN, and EPR) Techniques by Ahmed M. Ebid, Kennedy C. Onyelowe, Emmanuel E. Arinze

“…The genetic programming (GP), evolutionary polynomial regression (EPR), and artificial neural network (ANN) intelligent techniques were employed to predict the ultimate bearing capacity of footing on or adjacent to a slope. …”
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Application research on the time–frequency analysis method in the quality detection of ultrasonic wire bonding by Wuwei Feng, Xin Chen, Cuizhu Wang, Yuzhou Shi

“…Finally, an artificial neural network was built to recognize and detect the quality of ultrasonic wire bonding. …”
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Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network by Yi Zhao, Satish V. Ukkusuri, Jian Lu

“…The first is data selection based on qualitative analysis, the second is data grouping using the MDS method, and the last is data dimension reduction based on a correlation coefficient. Backpropagation neural network (BPNN) and multiple linear regression (MLR) models are employed in four kinds of urban traffic environments to test whether the proposed method improves the prediction accuracy of traffic flow. …”
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Sensorimotor environment but not task rule reconfigures population dynamics in rhesus monkey posterior parietal cortex by Hao Guo, Shenbing Kuang, Alexander Gail

“…While neural dynamics in monkey posterior parietal cortex show shifted initial states and non-aligned low-dimensional neural subspaces in the SE task, remapping is achieved in overlapping subspaces in the TR task. A recurrent neural network model demonstrates how output constraints mimicking SE and TR tasks are sufficient to generate the two fundamentally different neural computational dynamics. …”
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A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach by Jujie Wang

“…In the second step, a two-hidden-layer neural network (TNN) is used to predict both approximated scale and detailed scales, respectively. …”
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Automatic Recognition and Detection System Based on Machine Vision by Lu Wang, Lihong Cui

“…This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. …”
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Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints by Changxin Luo, Humin Lei, Dongyang Zhang, Xiaojun Zou

“…Secondly, on the basis of the implicit function theorem, the radial basis function neural network (RBFNN) is introduced to approximate the uncertain items of the model. …”
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Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction by Qisheng Yan, Shitong Wang, Bingqing Li

“…Experimental results from real uranium resource price data demonstrate that the proposed hybrid forecasting method outperforms RBF neural network (RBFNN) and single ELM in terms of RMSE, MAE, and DS.…”
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