Performance comparison of different algorithms to secure the information for Wireless sensor Network by El Gatte Oumayma, El Abbassi Ahmed, Mouhib Omar, Tilioua Amine

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Comparative Study on Different CNN Architectures Developed on Microstructural Classification in Al-Si Alloys by M.F. Kalkan, M. Aladag, K.J. Kurzydlowski, N.F. Yilmaz, A. Yavuz

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CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition by Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

“…Purpose: This study aimed to improve the accuracy and the ITR in the stimulative paradigm of character spelling systems based on asymmetric Visual Evoked Potentials (aVEPs) by utilizing EEG signal and an improved Convolutional Block Attention Module-Deep Convolutional Neural Network. …”
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Comparing Different Data Partitioning Strategies for Segmenting Areas Affected by COVID-19 in CT Scans by Anne de Souza Oliveira, Marly Guimarães Fernandes Costa, João Pedro Guimarães Fernandes Costa, Cícero Ferreira Fernandes Costa Filho

“…Conclusions: The main conclusions were as follows: COVID-19 segmentation was slightly better for the slice strategy than for the CT-scan strategy; a comparison of the performance of the automatic COVID-19 segmentation and the interobserver agreement, in a group of 7 CT scans, revealed that there was no statistically significant difference between any metric.…”
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Estimates for convolutions in the anisotropic Nikol'skiĭ-Besov spaces by V. I. Burenkov, G. E. García Almeida

“…We obtain various estimates for convolutions in the anisotropic Nikol'skiĭ-Besov spaces of functions of several real variables possessing some common smoothness of, in general, fractional order which may be different with respect to different variables.…”
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Convolutional neural networks and vision transformers for Plankton Classification by Loris Nanni, Alessandra Lumini, Leonardo Barcellona, Stefano Ghidoni

“…The study considers the creation of ensembles combining different Convolutional Neural Network (CNN) models and transformer architectures to understand whether different optimization algorithms can result in more robust and efficient classification across various plankton datasets. …”
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Graph convolution network for fraud detection in bitcoin transactions by Ahmad Asiri, K. Somasundaram

“…Some of them are not labeled. We have run different algorithms for predicting illicit transactions like Logistic Regression, Long Short Term Memory, Support Vector Machine, Random Forest, and a variation of Graph Neural Networks, which is called Graph Convolution Network (GCN). …”
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Dynamic convolution models for cross-frontend keyword spotting by Rongqi Liu, Wenkang Chen, Xuejun Zhang

“…The dynamic convolution model enables the adaptive capture of diverse and time-varying acoustic patterns, while the mutual learning strategy effectively leverages complementary features extracted from multiple audio frontends to enhance the model’s generalization across different input conditions. …”
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Convolutional neural network for dog breed recognition system by К. Хотінь, В. Шимкович, П. Кравець, А. Новацький, Л. Шимкович

“… The object of research is models of convolutional neural networks and datasets for training convolutional neural networks. …”
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Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

“…Classifier is based on using convolutional neural network, and colorizer is based on hash table which stores mapping of hypercolumns and colors. …”
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Convolutional Neural Networks for Predicting Power Outages in Baghdad by Saja Jafar Jawad, Shaymaa. W. Al-Shammari

“…This paper introduces a real-world time series dataset for Baghdad city, including historical outages, weather conditions (such as temperature), and power overloads, and analyzes the correlation among these parameters in different seasons. The research uses this dataset to train one-dimensional Convolutional Neural Networks (1D CNN) to find patterns and relationships that can accurately predict when power outages can happen in the long term and short term to improve the management of the Baghdad electricity grid through data-driven networks. …”
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Augmented Graph Convolutional Network for Enhancing Label Reachability by Xiangyi Wang, Fengjun Zhang, Wei Teng, Baoda Liu

“…Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. …”
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Flood Image Classification using Convolutional Neural Networks by Olusogo Julius Adetunji, Ibrahim Adepoju Adeyanju, Adebimpe Omolayo Esan, Adedayo Aladejobi Sobowale Sobowale

“…This study develops a novel model using convolutional neural networks (CNN) for the prediction of floods. …”
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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

“…Our dataset contains 5055 audio files of different lengths totaling 14.14 h and strongly labeled data. …”
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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

“…To address the challenge of segmenting dense and overlapping plant leaves under natural lighting conditions, this study employed a Bilayer Convolutional Network (BCNet) method for accurate leaf segmentation across various lighting environments. …”
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Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada by Teena Sharma, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya

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Proposal of a Methodology Based on Using a Wavelet Transform as a Convolution Operation in a Convolutional Neural Network for Feature Extraction Purposes by Nora Isabel Pérez-Quezadas, Héctor Benítez-Pérez, Adrián Durán-Chavesti

“…Using methodological tools to construct feature extraction from multidimensional data is challenging. Different treatments are required to build a coherent representation with those features that can be attenuated by various phenomena inherent to the observed process. …”
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Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN by Shaziya Islam, Gagan Raj Gupta, Apu Chakraborty, Santosh Singh, Anisha Soni, Chhavi Patle

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Thermal optimization of nickel-carbon nanodots using neural network and numerical simulation by Sohail Ahmad, Hessa A. Alsalmah

Subjects: “…Convolutional neural network…”
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Simulated Centrifugal Fan Blade Fault Diagnosis Based on Modulational Depthwise Convolution–One-Dimensional Convolution Neural Network (MDC-1DCNN) Model by Zhaohui Ren, Yulin Liu, Tianzhuang Yu, Shihua Zhou, Yongchao Zhang, Zeyu Jiang

“…To solve this problem, this paper proposes a centrifugal fan blade fault diagnosis method based on a modulational depthwise convolution (DWconv)–one-dimensional convolution neural network (MDC-1DCNN). …”
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