Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…In this paper, an original Convolutional Neural Network (CNN) architecture is proposed to develop patient-specific seizure detection models for three patients affected by NFLE. …”
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Multitask Convolutional Neural Network for Rolling Element Bearing Fault Identification by Mingxing Jia, Yuemei Xu, Maoyi Hong, Xiyu Hu

“…To solve the abovementioned two problems, this paper proposes a fault-diagnosis algorithm based on “end-to-end” one-dimensional convolutional neural network. The one-dimensional convolution kernel and the pooling layer are directly applied to the original time domain signal. …”
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Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment by Diego José Luis Botia Valderrama, Natalia Gaviria Gómez

“…In this paper, a model based on artificial neural networks such as BPNNs (Backpropagation Neural Networks) and the RNNs (Random Neural Networks) is applied to evaluate the subjective quality metrics MOS (Mean Opinion Score) and the PSNR (Peak Signal Noise Ratio), SSIM (Structural Similarity Index Metric), VQM (Video Quality Metric), and QIBF (Quality Index Based Frame). …”
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Auditory attention decoding based on neural-network for binaural beamforming applications by Roy Gueta, Elana Zion-Golumbic, Jacob Goldberger, Sharon Gannot

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Modelling and Prediction of Photovoltaic Power Output Using Artificial Neural Networks by Aminmohammad Saberian, H. Hizam, M. A. M. Radzi, M. Z. A. Ab Kadir, Maryam Mirzaei

“…This paper presents a solar power modelling method using artificial neural networks (ANNs). Two neural network structures, namely, general regression neural network (GRNN) feedforward back propagation (FFBP), have been used to model a photovoltaic panel output power and approximate the generated power. …”
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A Dual-Path Neural Network for High-Impedance Fault Detection by Keqing Ning, Lin Ye, Wei Song, Wei Guo, Guanyuan Li, Xiang Yin, Mingze Zhang

“…We propose a dual-path neural network for high-impedance fault detection. To enhance feature extraction, we use a Gramian Angular Field algorithm to transform 1D zero-sequence voltage signals into 2D images. …”
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Residential Building Duration Prediction Based on Mean Clustering and Neural Network by Fanrong Ji, Yunquan Nan, Aifang Wei, Peiyan Fan, Zhaoyuan Luo, Xiaoqing Song

“…In this study, a genetic algorithm (GA) was employed to optimize and refine the weights and thresholds of a back propagation (BP) neural network, thereby creating a GA-BP neural network model. …”
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Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network by Varun Magotra, Mukesh Kumar Rohil

“…The application of convolutional neural network (CNN) and mask-region-based CNN (Mask-RCCN) to the medical domain has really revolutionized medical image analysis. …”
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Real Lithuanian economic growth forecasting using artificial neural networks by Audronė Jakaitienė, Minija Tamošiūnaitė

“…Prognoses obtained by means of linear models and artificial neural networks are compared. …”
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Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks by Weidong Cao, Shutang Liu, Xuechi Gao, Fei Ren, Peng Liu, Qilun Wu

“…In this paper, an artificial neural network classifier is developed to identify the different characteristic patterns of drum vibration and classify them according to the different compaction levels. …”
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Motion Path Design for Specific Muscle Training Using Neural Network by Kenta Itokazu, Takanori Miyoshi, Kazuhiko Terashima

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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

Subjects: “…deep neural networks…”
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Risk Prediction of Sports Events Based on Gray Neural Network Model by Zhihui Wang

“…In this paper, neural network is used as a predictive network modeling method, with the support of MATLAB Neural Toolbox, based on the implementation of predictive research. …”
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers by Runyan Zhang, Fanrong Meng, Yong Zhou, Bing Liu

Subjects: “…bidirectional recurrent neural network (rnns)…”
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Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

“…Th aims of this study are to modified the architecture of Convolutional Neural Networks, part of deep learning to classify parking spaces. …”
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Neural Network and Hybrid Methods in Aircraft Modeling, Identification, and Control Problems by Gaurav Dhiman, Andrew Yu. Tiumentsev, Yury V. Tiumentsev

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Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

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DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS by Jianzhou Cui

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CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network by Guojie Liu, Jianbiao Zhang

“…In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and the algorithm is optimized. …”
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State Estimation for Neural Networks with Leakage Delay and Time-Varying Delays by Jing Liang, Zengshun Chen, Qiankun Song

“…The state estimation problem is investigated for neural networks with leakage delay and time-varying delay as well as for general activation functions. …”
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