Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG by Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O’Toole

“…We have developed and validated a seizure detection model using retrospective EEG data from 332 neonates. A convolutional neural network was trained and tested on over 50,000 hours (n = 202) of annotated single-channel EEG containing 12,402 seizure events. …”
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Deep Convolutional Neural Network Model for the Differential Diagnosis of Schizophrenia Using EEG Signals by Filiz Demirdöğen, Çağla Danacı, Seda Arslan Tuncer, Mustafa Akkuş, Sevler Yıldız

“…In the classification phase, ResNet18, ResNet50 and EfficientNet models, which are FastAI, and Convolutional Neural Network (CNN) based deep learning models, were used. …”
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Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network by Yanwei Xu, Weiwei Cai, Tancheng Xie, Pengfei Zhao

“…The results show that the probability of predicting the stage of bearing life based on multiple eigenvalues and convolutional neural network is more than 98%.…”
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Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks by R. Aiudi, R. Pacelli, P. Baglioni, A. Vezzani, R. Burioni, P. Rotondo

“…This finding highlights a simple mechanism for feature learning that can take place in overparametrized shallow convolutional neural networks, but not in shallow fully-connected architectures or in locally connected neural networks without weight sharing.…”
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Vehicle Detection for Vision-Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm by Othman O. Khalifa, Muhammad H. Wajdi, Rashid A. Saeed, Aisha H. A. Hashim, Muhammed Z. Ahmed, Elmustafa Sayed Ali

“…In addition, a method of utilizing Convolutional Neural Network (CNN) is used for the detection of vehicles from roadway camera outputs to apply video processing techniques and extract the desired information. …”
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A dance movement quality evaluation model using transformer encoder and convolutional neural network by Jiping Qu

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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…In this study, we make use of Resnet 34, a well-known convolutional neural network (CNN) architecture, to identify RRab stars with BL from phased light curves collected from OGLE. …”
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Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques by Abedalgany Abedallah Athamneh, Ali Mohammad Alqudah

“…This paper presents a new proposed method to discriminate the transformer’s internal fault from the inrush current; the discrimination process is based on a convolutional neural network (CNN) with a combination of the higher order spectral estimations that perform a deep learning classification with high accuracy. …”
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Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments by Hui Chen, Zhendong Wang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan

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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

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Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM by Yanwei Xu, Weiwei Cai, Liuyang Wang, Tancheng Xie

“…Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network and light gradient boosting machine is proposed. …”
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A convolutional neural network model and algorithm driven prototype for sustainable tilling and fertilizer optimization by Sajeev Magesh

“…This paper evaluates whether optimizing tillage intensity, timing, and fertilizer quantity using a convolutional neural network model and algorithm will address these problems. …”
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FAULT DIAGNOSIS OF SPIRAL BEVEL GEAR BASED ON LOCAL BISPECTRUM AND CONVOLUTIONAL NEURAL NETWORK (MT) by YANG DaLian, LEI JiaLe, JIANG LingLi

“…Aiming at the problem that the traditional fault diagnosis method has a low efficiency for spiral bevel gear fault diagnosis, a fault diagnosis method based on local bispectrum and convolution neural network（CNN） is proposed. By using local bispectrum of spiral bevel gears vibration signal containing global information as the input of the CNN, a diagnosis model is constructed to realize fault diagnosis of spiral bevel gears, which not only reduces the redundancy of fault information, but also improves the speed of CNN training. …”
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A Fall Risk Detection Model for Infants While Sleeping based on Convolutional Neural Networks by Acep Hendra, Handoko Supeno

“…As an alternative, computer vision techniques have shown rapid advancements in recent years, with Convolutional Neural Networks (CNNs) proving to be highly effective in recognizing visual patterns, including human motion and posture detection. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…To explore the effects of mixture of local and deep extracted feature on accuracy of classification of brain anomaly, a multibranch convolutional neural network approach is proposed. This approach is designed according to combination of DBP-DAE and DSRCN in an end-to-end manner. …”
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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging by Mahir Kaya, Alper Özatılgan

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Research on Wind Turbine Unbalance Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network by Zhenling Li, Yukun Gao

Subjects: “…Convolutional neural network…”
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A Comparative Study of Convolutional Neural Network and Transformer Architectures for Drone Detection in Thermal Images by Gian Gutierrez, Juan P. Llerena, Luis Usero, Miguel A. Patricio

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Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

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Hyperspectral Image-Based Identification of Maritime Objects Using Convolutional Neural Networks and Classifier Models by Dongmin Seo, Daekyeom Lee, Sekil Park, Sangwoo Oh

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