Transverse-layer partitioning of artificial neural networks for image classification by N.A. Vershkov, M.G. Babenko, N.N. Kuchukov, V.A. Kuchukov, N.N. Kucherov

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A geometric approach for accelerating neural networks designed for classification problems by Mohsen Saffar, Ahmad Kalhor, Ali Habibnia

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Enhancing Driving Safety and Environmental Consciousness through Automated Road Sign Recognition Using Convolutional Neural Networks by M. H. F. Md Fauadi, M. F. H. Mohd Zan, M. A. M Ali, L. Abdullah, S. N. Yaakop and A. Z. M. Noor

Subjects: “…traffic sign recognition, convolutional neural network, yolov3 network, environmental consciousness…”
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DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES by Diyari A. Hassan

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Classification of ECG signals using deep neural networks by Nadour Mohamed, Cherroun Lakhmissi, Hadroug Nadji

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Neuroevolutionary reinforcing learning of neural networks by Y. A. Bury, D. I. Samal

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Unveiling endothelial cell border heterogeneity: VE-cadherin adherens junction stratification by deep convolutional neural networks by Rudmer J. Postma, Susan E. Fischer, Roel Bijkerk, Anton Jan van Zonneveld

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Retracted: Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection by null Complexity

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Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning by Guangyan Yang

“…The main research focus is feature extraction, trying to use one-dimensional convolutional neural network (1D-CNN) to mine students’ online patterns from online behavior sequences, calculate abnormal scores based on students’ consumption data in the cafeteria, and describe the dietary differences among students. …”
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Storm‐Time Ring Current Plasma Pressure Prediction Based on the Multi‐Output Convolutional Neural Network Model by Yun Yan, Zi‐Kang Xie, Chao Yue, Jiu‐Tong Zhao, Fan Yang, Lun Xie, Qiu‐Gang Zong, Xu‐Zhi Zhou, Shan Wang

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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…This study introduces a novel event-type identification method, utilizing a Spectral Correlation Function (SCF)-aided Convolutional Neural Network (CNN). The proposed method employs a six-stage cascaded structure consisting of: (1) data collection, (2) clipping, (3) augmentation, (4) feature extraction (FE), (5) training, and (6) testing. …”
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Deep Learning for Identification and Characterization of Ca ii Absorption Lines: A Multitask Convolutional Neural Network Approach by Yang Liu, Jie Li, Linqing Gao, Haotong Zhang, Zhenghua Xu, Yu Wang, Wenbin Lin

“…This work presents three multitask convolutional neural network models and identifies the ResNet-CBAM model, which incorporates residual learning and an attention mechanism as the most effective. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

Subjects: “…convolutional neural network…”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification by Jaipriya D., Sriharipriya K. C.

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Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks by F. Siciliano, G. Consolini, R. Tozzi, M. Gentili, F. Giannattasio, P. De Michelis

“…These ANN models differ in architecture being based on two conceptually different neural networks: the long short‐term memory (LSTM) and the convolutional neural network (CNN). …”
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Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study by Zeynep Seyda Yavsan, Hediye Orhan, Enes Efe, Emrehan Yavsan

“… Objectives: Approximal caries diagnosis in children is difficult, and artificial intelligence-based research in pediatric dentistry is scarce. To create a convolutional neural network (CNN)-based diagnostic system for the prompt and efficient identification of approximal caries in pediatric patients aged 5–12 years. …”
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Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer by Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, Hsin-Chih Lo, Pei-Chin Chen, Chiun-Chieh Yu, Yi-Chin Tu, Tyng-Luh Liu, Wei-Che Lin

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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…Hasil percobaan yang telah dilakukan dengan algoritme Deep Convolutional Neural Network memiliki nilai akurasi terbaik sebesar 76,40%.   …”
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Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

“…Salah satunya dengan menggunakan Deep learning yaitu Convolutional Neural Network (CNN) yang sudah terbukti merupakan salah satu metode yang dapat digunakan untuk melakukan skrining pasien dan mendeteksi COVID-19. …”
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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

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