Feature Recognition of Crop Growth Information in Precision Farming by Hanqing Sun, Xiaohui Zhang, Zhou Yu, Gang Xi

“…Finally, the classification method of BP neural network is used to classify the obtained feature vectors. …”
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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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An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine by Derya Avci, Akif Dogantekin

“…The classifier used in this paper is single layer neural network (SLNN) and it is trained by the ELM learning method. …”
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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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Traffic Accident Prediction Based on LSTM-GBRT Model by Zhihao Zhang, Wenzhong Yang, Silamu Wushour

“…Compared with various regression models and neural network models, the experimental results show that the LSTM-GBRT model has a good fitting effect and robustness. …”
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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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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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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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RBF Nonsmooth Control Method for Vibration of Building Structure with Actuator Failure by Jianhui Wang, Chunliang Zhang, Houyao Zhu, Xiaofang Huang, Li Zhang

“…In order to accommodate the actuator failure, the finite-time stable nonsmooth control method with RBF neural network is used to suppress the structural vibration. …”
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Research on Human Motion Recognition Based on Data Redundancy Technology by Hong-Lan Yang, Meng-Zhe Huang, Zheng-Qun Cai

“…Then, the depth feature of processed image is extracted by depth motion map; finally, feature recognition is carried out by convolution neural network so as to achieve the purpose of human action recognition. …”
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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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Temperature and Humidity Prediction Based on Machine Learning by Xiong Yanqi

“…Support Vector Machine(SVM), Neural Network(NN), and Random Forest(RF). to analyze their accuracy in predicting temperature and humidity. …”
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Command Filtering and Barrier Lyapunov Function-Based Adaptive Control for PMSMs with Core Losses and All-State Restrictions by Xiaoling Wang, Jinpeng Yu

“…To begin with, the RBF neural network technique is utilized to get close to the uncharted nonlinear terms which existed in PMSM’s mathematical model. …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…After the preprocessing, it performs the learning process using a carefully designed neural network of simple but effective structure. Experimental results show that the proposed model has faster training convergence speed and better test performance compared to the existing DNN model. …”
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Rancang Bangun Aplikasi Berbasis Android untuk Perbaikan Kualitas Citra Tanaman Atas Perbedaan Spesifikasi Kamera Smartphone pada Prediksi Kandungan Pigmen Fotosintesis Secara Real... by Felix Adrian Tjokro Atmodjo, Kestrilia Rega Prilianti, Hendry Setiawan

“…An Android based application called Fuzzy Piction could predict the content of those pigments nondestructively using the FP3Net, a Convolutional Neural Network (CNN) model. This application predicts the pigment content in plant leaf by its digital images. …”
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics by Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah, Jehad Saad Alqurni, Faiz Abdullah Alotaibi, Abdelmoneim Ali Mohamed

“…Besides, the attention long short-term memory neural network (ALSTM-NN) model is employed to detect and classify cyberattacks. …”
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Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization by Abdul Haris, Nabilla Anggraini, Hengki Sikumbang

“…Banyak peneliti yang telah melakukan kajian dan inovasi di bidang ini untuk menghasilkan irigasi yang baik dan optimal, antara lain dengan mengimplementasikan gabungan Internet of Things (IoT) sebagai infrastruktur, Fuzzy Logic dan Artificial Neural Network (ANN) sebagai algoritma untuk menentukan waktu buka tutup dari Solenoid Valve dalam pengaturan distribusi air.  …”
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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

“…Numerical computation of ODEs is made by a well-known bvp4c scheme and then an advanced artificial neural network (ANN) computational framework is integrated to train the resulting dataset, which is based on scaled conjugate gradient neural network (SCG-NN) to facilitate predictions regarding advanced solutions. …”
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A Comparative Study of Cross-Device Finger Vein Recognition Using Classical and Deep Learning Approaches by Tuğçe Arıcan, Raymond Veldhuis, Luuk Spreeuwers, Loïc Bergeron, Christoph Busch, Ehsaneddin Jalilian, Christof Kauba, Simon Kirchgasser, Sébastien Marcel, Bernhard Prommegger, Kiran Raja, Raghavendra Ramachandra, Andreas Uhl

“…This study aims to fill this gap by introducing a cross-device finger vein dataset and evaluating the performance of finger vein recognition across devices using a classical method, a convolutional neural network, and our proposed patch-based convolutional auto-encoder (CAE). …”
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