Producing secure multimodal biometric descriptors using artificial neural networks by Dogu Cagdas Atilla, Raghad Saeed Hasan Alzuhairi, Cagatay Aydin

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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

Subjects: “…Explainable convolutional neural network…”
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Real-Time Optimal Approach and Capture of ENVISAT Based on Neural Networks by Hongjue Li, Yunfeng Dong, Peiyun Li

“…A neural network-based controller is developed to enable a chaser spacecraft to approach and capture a disabled Environmental Satellite (ENVISAT). …”
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Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…Additionally, they feature much simpler architectures compared to traditional neural networks. …”
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Brain Age Prediction Using a Lightweight Convolutional Neural Network by Fatma Eltashani, Mario Parreno-Centeno, James H. Cole, Joao Paulo Papa, Fumie Costen

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Identification of Weakly Pitch-Shifted Voice Based on Convolutional Neural Network by Yongchao Ye, Lingjie Lao, Diqun Yan, Rangding Wang

“…In this paper, we proposed a convolutional neural network (CNN) to detect not only strongly pitch-shifted voice but also weakly pitch-shifted voice of which the shifting factor is less than ±4 semitones. …”
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General Recurrent Neural Network for Solving Generalized Linear Matrix Equation by Zhan Li, Hong Cheng, Hongliang Guo

“…This brief proposes a general framework of the nonlinear recurrent neural network for solving online the generalized linear matrix equation (GLME) with global convergence property. …”
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Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network by Li Ma, Xueliang Guo, Shuke Zhao, Doudou Yin, Yiyi Fu, Peiqi Duan, Bingbing Wang, Li Zhang

“…Moreover, attention mechanism and central damage function are introduced into the classical convolutional neural network to solve the problem that the information loss of key feature areas in the existing classification methods of convolutional neural network affects the classification effect, and further improves the accuracy of convolutional neural network in image classification.…”
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Utilization of the Convolutional Neural Network Method for Detecting Banana Leaf Disease by Nita Helmawati, Ema Utami

“…This research utilizes the Convolutional Neural Network (CNN) method to detect banana leaf diseases based on image analysis of infected and healthy leaves. …”
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Control of a Mobile Line-Following Robot Using Neural Networks by Hugo M. Leal, Ramiro S. Barbosa, Isabel S. Jesus

“…This work aims to develop and compare the performance of a line-following robot using both neural networks and classical controllers such as Proportional–Integral–Derivative (PID). …”
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Detection algorithm of electronic disguised voice based on convolutional neural network by Hongwei XU, Diqun YAN, Fan YANG, Rangding WANG, Chao JIN, Li XIANG

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Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation (BP) neural network to solve the problem that traditional neural network learning algorithm is slow and easy to fall into local minimum. …”
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Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction by Ayodele Ariyo Adebiyi, Aderemi Oluyinka Adewumi, Charles Korede Ayo

“…This paper examines the forecasting performance of ARIMA and artificial neural networks model with published stock data obtained from New York Stock Exchange. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

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Neural Network Backstepping Controller Design for Fractional-Order Nonlinear Systems by Youjun Chen, Songyu Wang

“…In this work, a backstepping controller design for fractional-order strict feedback systems is investigated and the neural network control method is used. It is noted that in the standard backstepping design, the fractional derivative of the virtual quantity needs to be calculated repeatedly, which will lead to a sharp increase in the number of controller terms with the increase of the system dimension and finally make the control system difficult to bear. …”
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SBS Content Detection for Modified Asphalt Using Deep Neural Network by Zhixiang Wang, Jiange Li, Zhengqi Zhang, Youxiang Zuo

“…This study proposes a prediction model for accurately detecting styrene-butadiene-styrene (SBS) content in modified asphalt using the deep neural network (DNN). Traditional methods used for evaluating the SBS content are inaccurate and complicated because they are prone to produce errors by manual computation. …”
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Gender Classification Based on Iris Recognition Using Artificial Neural Networks by Basna Mohammed Salih, Adnan Mohsin Abdulazeez, Omer Mohammed Salih Hassan

Subjects: “…Gender prediction, Iris biometrics, Artificial Neural Networks, Canny Edge Detection.…”
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Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay by Jiemei Zhao

“…A path tracking controller is designed for an autonomous underwater vehicle (AUV) with input delay based on neural network (NN) predictive control algorithm. To compensate for the time-delay in control system and realize the purpose of path tracking, a predictive control algorithm is proposed. …”
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DETECTION AND RECOGNITION OF IRAQI LICENSE PLATES USING CONVOLUTIONAL NEURAL NETWORKS by Mohammed Hayder Abbas, Zeina Mueen Mohammed

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Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…The machine learning system, which is composed of a softmax regression model and a convolutional neural network model, can grade a potato tube into six different quality levels based on tube appearance and size. …”
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