UHVDC Transmission Fault Location Based on Residual Convolutional Neural Network by LI Ji, ZHANG Xueyou, ZHANG Junjie, SHI Wen, RUAN Wei, DAI Jianfeng

“…Firstly, wavelet transform is used to extract fault voltage and current of different frequency bands, which are used as input of residual convolution neural network. …”
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Convolutional neural network–based person tracking using overhead views by Misbah Ahmad, Imran Ahmed, Fakhri Alam Khan, Fawad Qayum, Hanan Aljuaid

“…The advancement of convolutional neural network reforms the way of object tracking. …”
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Packaging Design Image Segmentation Based on Improved Full Convolutional Networks by Chunxiao Zhang, Mengmeng Han, Jingjing Jia, Chulsoo Kim

“…By incorporating machine learning techniques from NLP into image processing, this study enhances the overall quality and efficiency of packaging design and provides new directions for the application of advanced technologies across different fields.…”
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Computer-aided cholelithiasis diagnosis using explainable convolutional neural network by Dheeraj Kumar, Mayuri A. Mehta, Ketan Kotecha, Ambarish Kulkarni

“…Fourth, an exhaustive performance analysis of the proposed approach on ultrasound images collected from three different Indian hospitals is presented to showcase its efficacy for computer-aided cholelithiasis diagnosis. …”
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Spatiotemporal analysis of mangroves using median composites and convolutional neural network by Kathiroli R, Madhumitha P S, Achyut Prasad D C, Sandhiya S

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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

“…These features were compared between four states: wakefulness, non-rapid eye movement (NREM) sleep, rapid eye movement (REM) sleep during presenting auditory stimuli, and REM sleep without stimuli. Eighteen types of different stimuli including instrumental and natural sounds were presented to participants during REM. …”
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Fingerprint recognition using convolution neural network with inversion and augmented techniques by Reena Garg, Gunjan Singh, Aditya Singh, Manu Pratap Singh

“…The simulation results have been obtained with different optimizers and it has been observed that VGG 19 model exhibits the accuracies of 88 % and 93 % with inversion and multi augmentation approaches respectively. …”
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Comparative convolutional neural networks for perovskite solar cell PCE predictions by Milan Harth, D. Kishore Kumar, Said Kassou, Kenza El Idrissi, Ritesh Kant Gupta, Yonatan Daniel, Ofry Makdasi, Iris Visoly-Fisher, Alessio Gagliardi

“…This study presents a deep learning methodology that correlates optical reflective images of perovskite solar cells with their PCE by focusing on image differences rather than absolute visual features. The approach predicts relative changes in PCE by comparing images of the same device in different states (e.g., before and after encapsulation) or against a reference image. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…The HARCNN model is designed with 10 convolutional blocks, referred to as “ConvBlk.” Each block integrates a convolutional layer, a ReLU activation function, and a batch normalization layer. …”
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Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

“…The phases predicted by our model are not limited to liquid-like dispersions and solid–liquid phase separations, where thermodynamic equilibrium differs, but also include sample-spanning gel structures, where only kinetics differ while thermodynamics remain the same. …”
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Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks by Julian Supardi, Samsuryadi Samsuryadi, Hadipurnawan Satria, Philip Alger M. Serrano, Arnelawati Arnelawati

“…Remote sensing images differ from ordinary images taken with conventional cameras. …”
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Detection Of Vacant Parking Spaces Through The Use Of Convolutional Neural Network by Christopher Singh, Christoforos Christoforou

“…This paper focuses on the application of computer vision and convolutional neural network techniques in the automotive industry to reduce the amount of time required to locate a vacant parking spot and to reduce driving time. …”
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Fault Diagnosis for Imbalanced Datasets Based on Deep Convolution Fuzzy System by Junwei Zhu, Linfang Zhu

“…The BAVAE improves data generation capabilities by introducing autoregressive distributions to learn latent variables, iteratively obtaining complex high-order latent variables, and amplifying inter-class differences through the introduction of feature discrimination loss during training. …”
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DCCPNet: A Dual-Branch Channel Cross-Concatenation Pan-Sharpening Network for Satellite Remote Sensing Imagery by Zechun Li, Xunqiang Gong, Ailong Ma, Haiqing He, Pengyuan Lv, Xiansan Liu, Yanfei Zhong

“…Furthermore, the proposed method exhibits apparent superiority to other advanced methods in image visual effects, operational efficiency testing, and normalized difference vegetation index application, showcasing its robust competitiveness.…”
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PS-YOLO: A Lighter and Faster Network for UAV Object Detection by Han Zhong, Yan Zhang, Zhiguang Shi, Yu Zhang, Liang Zhao

“…GSCD employs shared convolutions to enhance the network’s ability to learn common features across objects of different scales and introduces Normalized Gaussian Wasserstein Distance Loss (NWDLoss) to improve detection accuracy. …”
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A Lightweight Deep Learning Model for Profiled SCA Based on Random Convolution Kernels by Yu Ou, Yongzhuang Wei, René Rodríguez-Aldama, Fengrong Zhang

“…In this article, a DL-SCA model is proposed by introducing a non-trained DL technique called random convolutional kernels, which allows us to extract the features of leakage like using a transformer model. …”
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Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

“…In order to solve the problem that the traditional long-term high-speed traffic forecasting algorithm is affected by the approximation ability of the function and easy to fall into the local mass value, we wrote a multivariate-based highway traffic forecasting algorithm scaling and convolutional networks. Because the feedforward wavelet neural network algorithm predicts the short-term traffic flow in different areas, it is necessary to examine the ability to predict the difference between different models. …”
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Different prefrontal cortex activity patterns in bipolar and unipolar depression during verbal fluency tasks based on functional near infrared spectroscopy study by Lan Mou, Yuqi Shen, Boyuan Wu, Chengyu Zhang, Jiayun Zhu, Qian Tan, Xiaomei Zhang, Zefeng Wang, Zhongxia Shen

“…Hemodynamic responses in the prefrontal cortex were recorded using fNIRS during the VFT. Differences in oxygenated hemoglobin concentrations across the three groups were compared, and receiver operating characteristic (ROC) curves were generated for each region of interest. …”
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Spatiotemporal hybrid deep learning for estimating and analyzing carbon stocks: a case study in Jiangsu province, China by Lizhi Miao, Jvmin Wang, Kaiwen Wu, Heng Xu, Xiying Sun, Gang Lu, Mei-Po Kwan

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IPACN: Information-Preserving Adaptive Convolutional Network for Remote Sensing Change Detection by Hongchao Qi, Xin Gao, Jiaqiang Lei, Fenglei Wang

“…Crucially, IPACN incorporates a Frequency-Adaptive Difference Enhancement Module (FADEM) that applies adaptive filtering, informed by frequency analysis concepts, directly to the bi-temporal difference features. …”
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