Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function by Fang Jia, Boli Yang

“…In this paper, we use deep neural network (DNN) and long short-term memory (LSTM) model to forecast the volatility of stock index. …”
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SBT Approach towards Analog Electronic Circuit Fault Diagnosis by V. Manikandan, N. Devarajan

“…The artificial neural network classifiers are then used for the classification of fault. …”
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A Global Perspective on Lunar Granular Flows by V. T. Bickel, S. Loew, J. Aaron, N. Goedhart

“…Here, we build and deploy a convolutional neural network and map 28,101 flow features between 60°N and S by scanning through ∼150,000 Lunar Reconnaissance Orbiter images. …”
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Neural quantum propagators for driven-dissipative quantum dynamics by Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen

“…In this work, we develop driven neural quantum propagators (NQP), a universal neural network framework that solves driven-dissipative quantum dynamics by approximating propagators rather than wave functions or density matrices. …”
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Visualization of Multivariate Time-Series Characteristics of Ground Loss Caused by Shield Tunneling by Zhu Wen, Xiaoli Rong, Fei Gao, Zhen Wang, Dong An

“…A method of visualizing MTS features based on a residual network and multichannel fully convolutional neural network is also presented. The validity of the proposed ground-loss model is verified via calculation and comparison with 13 EPB shield construction projects carried out in typical urban areas featuring soft soil. …”
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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

“…Initially, image enhancement techniques are integrated with neural network-based visual feature extraction. Subsequently, employs a high-dimensional error-state optimizer coupled with a low-dimensional height filter to achieve high-precision localization of the UAV in under-canopy environments. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…This innovative approach markedly enhances the Area Under the Curve (AUC) performance of the Deep Neural Network (DNN) algorithm in colorectal cancer (CRC) detection using gut microbiome data, elevating it from 0.800 to 0.923. …”
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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

“…The performance of ChatGPT is compared against Long Short-Term Memory (LSTM) neural network models developed as part of this research. …”
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Research on Small Sample Nonlinear Cointegration Test and Modeling Based on the LS-SVM Optimized by PSO by Jungang Du

“…We also compare the prediction results with the wavelet neural network algorithm, and the results show that the generalization ability of LS-SVM Optimized by PSO is better, and the prediction accuracy of small samples is higher.…”
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Research on Application of the Feature Transfer Method Based on Fast R-CNN in Smoke Image Recognition by Xi Cheng

“…To further improve the accuracy of smoke detection, an automatic feature extraction and classification method based on fast regional convolution neural network (fast R–CNN) was introduced in the study. …”
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The Impacts of Internet + Rural Financial Industry on County Economy and Industrial Growth Algorithm by Yuanhui Huang, Yimao Ye

“…To better develop rural finance and county economy, this paper constructs an artificial neural network model and FA model to predict the rural finance industry, and four indicators are selected to test the performance measurement of the model. …”
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Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology by Xin Zhang, Pengfei Shao

“…Based on the dimensional features and regional-pixel similarity factor, it is verified using the deep neural network. This learning process identifies dimensional variations due to logistics displacement and position suppressing the similarity variations. …”
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An Application of ANN Ensemble for Estimating of Precipitation Using Regional Climate Models by Dongwoo Jang

“…In this study, the precipitation of five regional climate models and actual observed precipitation provided in Korea are applied to ANN (artificial neural network), which suggests ways to improve prediction accuracy for precipitation. …”
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Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model by Alyaa J. Jalil, Naglaa M. Reda

“…The proposed approach has been compared with convolutional neural network (CNN), principal component analysis (PCA), local binary pattern (LBP), and scale invariant feature transform (SIFT). …”
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Expression Recognition Method Using Improved VGG16 Network Model in Robot Interaction by Shengbin Wu

“…Then, the high-dimensional abstract feature data output by the improved VGG16 is input into the convolution neural network (CNN) for training, so as to output the expression types with high accuracy. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…The improved depth confidence network identifies and classifies Chinese traditional musical instruments through Softmax layer, and the accuracy is even as high as 99.2%; DBN is combined with Softmax neural network algorithm when only a few labeled samples in the training set are used for network fine-tuning, and the accuracy of the algorithm can still reach more than 90%, which can reduce the workload in the early stage. …”
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The Network Global Optimal Mapping Approach Utilizing a Discrete Firefly Optimization Algorithm by He Jia, Li Xiaomei

“…Then, a resolution of the multi-layered neural network is proposed. A resolution has been saved at all levels of the structure. …”
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Risk Assessment of Government Debt Based on Machine Learning Algorithm by Dan Chen

“…According to forming the performance of local government debt risk and its internal and external influencing factors, this study applies the analytic hierarchy process, entropy method, and BP neural network method to construct the local government risk assessment index system, which includes the primary and secondary indexes including the explicit debt risk, the contingent implicit debt risk, and the financial and economic operation risk. …”
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A Design Space Exploration Framework for ANN-Based Fault Detection in Hardware Systems by Andreas G. Savva, Theocharis Theocharides, Chrysostomos Nicopoulos

“…This work presents a design exploration framework for developing a high level Artificial Neural Network (ANN) for fault detection in hardware systems. …”
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A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data by Mahmoud M. Reda Taha

“…We describe a robust damage detection method that is based on using artificial neural network (ANN) to compute the wavelet energy of acceleration signals acquired from the structure. …”
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