Writer identification and writer retrieval based on NetVLAD with Re‐ranking by Shervin Rasoulzadeh, Bagher BabaAli

“…A novel pipeline is proposed for the problem at hand by employing a unified neural network architecture consisting of the ResNet‐20 as a feature extractor and an integrated NetVLAD layer, inspired by the vector of locally aggregated descriptors (VLAD), in the head of the latter part. …”
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3D Simulation Design and Application of Traditional Hanfu Based on Internet of Things by Li Lin, Wen Gan

“…In this study, the feasibility of the 3D simulation design of Hanfu was fully studied by combining the Internet of Things technology and the convolutional neural network method. The research results show that the Internet of Things technology can efficiently and accurately collect the characteristics of patterns, colors, shapes, and historical information of Hanfu. …”
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Surface Feature Prediction Modeling and Parameter Optimization for Turning TC17 Titanium Alloy by Zhibo Deng, Zhe Wang, Xuehong Shen

“…Data obtained from the Box-Behnken design experiments were used to develop the response surface methodology (RSM) and artificial neural network (ANN) models. Through analysis of variance (ANOVA), the relative effects of each cutting parameter on the responses have been determined. …”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

“…In addition to a physiological anomaly detection algorithm defined based on data from wearable devices, an online neural network prediction modelling methodology combining both detected physiological anomaly rate and historical COVID-19 infection rate is explored. …”
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MICE city ecosystems: building collaboration through information systems – a case study from Thailand by Pattaraporn Warintarawej, Nattaporn Thongsri, Jariya Seksan, Witchuta Marchoo

“…Objectives include developing an information system based on design thinking, investigating factors affecting the intention to use the system by examining MICE background knowledge, benefits, and Technology Acceptance Model (TAM) factors using correlation analysis and neural network techniques, and studying stakeholder satisfaction with the system. …”
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A machine learning technique for optimizing load demand prediction within air conditioning systems utilizing GRU/IASO model by Meng He, Hui Wang, Myo Thwin

“…GRU is a recurrent neural network that has the ability to comprehend intricate temporal relationships within the input data. …”
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Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals by Maria Gragnaniello, Vincenzo Romano Marrazzo, Alessandro Borghese, Luca Maresca, Giovanni Breglio, Michele Riccio

“…A spectrogram-based preprocessing method is combined with a 1-Dimensional Convolutional Neural Network (1D-CNN) to analyze the ECG signals directly on the device. …”
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Optimization Modeling and Empirical Research on Gasoline Octane Loss Based on Data Analysis by Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu

“…Firstly, the data are screened and the high-dimensional data are reduced to construct the neural network prediction model optimized by genetic algorithm. …”
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Load Transfer Efficiency Analysis and Void Evaluation of Composite Pavement Cement Concrete Slab by Hao Li, Naren Fang, Xuancang Wang, Yang Fang, Xianghang Li, Chao Li, Siyin Ding

“…Taking into consideration the spring stiffness, void size, and soil base elastic modulus, the void evalua\tion method of composite pavement cement concrete slab is established by using back propagation neural network algorithm. The results show that the void evaluation method can provide the void determination map with two parameters. …”
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Multisegment Mapping Network for Massive MIMO Detection by Yongzhi Yu, Jianming Wang, Limin Guo

“…This paper proposes a deep neural network for massive MIMO detection, named Multisegment Mapping Network (MsNet). …”
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Sports Augmented Cognitive Benefits: An fMRI Study of Executive Function with Go/NoGo Task by Qingguo Ding, Lina Huang, Jie Chen, Farzaneh Dehghani, Juan Du, Yingli Li, Qin Li, Hongqiang Zhang, Zhen Qian, Wenbin Shen, Xiaowei Yin, Pei Liang

“…This study explores the effect of dynamic neural network processing with the classic Go/NoGo task with regular exercisers. …”
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A Generalized Zero-Shot Deep Learning Classifier for Emotion Recognition Using Facial Expression Images by Vishal Singh Bhati, Namita Tiwari, Meenu Chawla

“…This study proposes a generalized deep learning classifier, Generalized Zero-Shot Convolutional Neural Network (GZS-ConvNet), to solve the problem of generalization. …”
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Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters by Xiaofeng Li, Limin Jia, Xin Yang

“…In the third part, a fault classifier based on BP neural network is designed for automatic fault pattern recognition. …”
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Prediction of Residual Gas Content during Coal Roadway Tunneling Based on Drilling Cuttings Indices and BA-ELM Algorithm by Zhenhua Yang, Hongwei Zhang, Sheng Li, Chaojun Fan

“…Then, the correlation between drilling cuttings indices and residual gas content was established, as well as the neural network prediction model based on BA-ELM. Finally, the prediction result of the proposed method was compared with that of back-propagation (BP), support vector machine (SVM), and extreme learning machine (ELM) to verify the accuracy. …”
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Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence by Tu T. Nguyen, Hoa Pham Duy, Tung Pham Thanh, Hoang Hiep Vu

“…It is shown that the performances of the artificial neural network (ANN) were better than that of the adaptive neurofuzzy inference system (ANFIS) model. …”
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Brain-inspired multimodal motion and fine-grained action recognition by Yuening Li, Xiuhua Yang, Changkui Chen

“…These methods struggle particularly with video data containing complex combinations of actions and subtle motion variations.MethodsTypically, they depend on handcrafted feature extractors or simple convolutional neural network (CNN) architectures, which makes effective multimodal fusion challenging. …”
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Multi-Resolution Wavelet-Transformed Image Analysis of Histological Sections of Breast Carcinomas by Hae-Gil Hwang, Hyun-Ju Choi, Byeong-Il Lee, Hye-Kyoung Yoon, Sang-Hee Nam, Heung-Kook Choi

“…In the classification step, we applied two types of classifiers to the extracted features, namely a statistics-based multivariate (discriminant) analysis and a neural network. Using features from second-level Haar transform wavelet images in combination with discriminant analysis, we obtained classification accuracies of 96.67 and 87.78% for the training and testing set (90 images each), respectively. …”
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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…For instance, Lasso regression, a PR method with regularization, achieves results that are 33% better and 2.1 times faster than the best artificial neural network-based solution. Our results challenge common assumptions in the literature about the complexity and feasibility of higher-order PR solutions, suggesting that they can be a compelling alternative for various challenges across domains. …”
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A Tuning Method for the Supplementary Voltage Controller of Dual-Side Grid Forming Converters in Distributed Storage Systems by Angel Perez-Basante, Asier Gildemuro, Ander Ordono, Salvador Ceballos, Eneko Unamuno, Jon Andoni Barrena

“…Real-time estimation of the optimum controller gains by making use of an artificial neural network is proposed. Simulation and experimental results are presented to validate the method.…”
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Quantifying Spatiotemporal Dynamics of Solar Radiation over the Northeast China Based on ACO-BPNN Model and Intensity Analysis by Xiangqian Li, Zhijun Tong, Enliang Guo, Xiaolong Luo

“…In this study, a new backpropagation neural network (BPNN) model optimized with an Ant Colony Optimization (ACO) algorithm was developed to generate the ACO-BPNN model, which had demonstrated superior performance for simulating solar radiation compared to traditional BPNN modelling, for Northeast China. …”
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