Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

“…Integrating different types of renewable energy sources in the power system substantially challenges the power quality (PQ), directly affecting the system’s stability and service life span. …”
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Research progress of deep learning-based object detection of optical remote sensing image by Yurong LIAO, Haining WANG, Cunbao LIN, Yang LI, Yuqiang FANG, Shuyan NI

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E-commerce image recognition using attention model and YOLACT neural network by V. V. Sorokina, S. V. Ablameyko

“…A modular architecture is used that applies an attention model to different branches of the network in order to improve the interaction between image cross-features.Methods. …”
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Visual Place Recognition Method Based on Attention Mechanism by DAI Tian-hong, YANG Xiao-yun, SONG Jie-qi

“…Firstly, we use the convolutional neural network HybridNet pre-trained on a large location dataset to extract features.Then, we use the context attention mechanism to assign weight values to different regions of the image to construct an attention mask based on multi-layer convolution features. …”
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Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification by Conrad Testagrose, Mehlam Shabbir, Braden Weaver, Xudong Liu

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Guided Filter-Inspired Network for Low-Light RAW Image Enhancement by Xinyi Liu, Qian Zhao

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Design of MobileNetV3 network accelerator based on dynamic adaptive computing engine by Xiang Haobin, Yang Ruimin, Wu Wentao, Li Chunlei, Dong Yan

“…Secondly, a global adaptive point convolution method is proposed to optimize point convolution and combine spatial exploration to obtain the optimal parameter configuration to achieve maximum computational parallelism. …”
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A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

“…We apply the trained model to two test sets that are completely different from the training set and compare it to several other methods. …”
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Application of social media communication for museum based on the deep mediatization and artificial intelligence by Hongkai Wang, Chao Song, Hongming Li

“…Abstract Based on deep mediatization theory and artificial intelligence (AI) technology, this study explores the effective improvement of museums’ social media communication by applying Convolutional Neural Network (CNN) technology. Firstly, the social media content from four different museums is collected, a dataset containing tens of thousands of images is constructed, and a CNN-based model is designed for automatic identification and classification of image content. …”
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Research on Lightweight Small Object Detection Algorithm Based on Context Representation by Li Qiang, Cui Jianghui

“…The convolutional self-attention model is employed into traditional feature pyramid network (FPN) structures to reduce information loss during up-sampling and down-sampling processes, and a differential detection head is used to detect targets of different sizes. …”
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Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction by Feng Chang, Liang Ge, Siyu Li, Kunyan Wu, Yaqian Wang

“…A parametric-matrix-based fusion architecture is used to combine the outputs of different components into a joint representation which is used for generating the final prediction results. …”
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Domain Adaptation for Satellite-Borne Multispectral Cloud Detection by Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

“…This underperformance stems from the domain gap, i.e., differences in the underlying distributions of the data generated by the different sensors in previous and future missions. …”
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Vision Transformers (ViTs) for Feature Extraction and Classification of AI-Generated Visual Designs by Qing Yun

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A Novel Lightweight Algorithm for Sonar Image Recognition by Gang Wan, Qi He, Qianqian Zhang, Hanren Wang, Huanru Sun, Xinnan Fan, Pengfei Shi

“…Secondly, the original 1 × 1 convolution is replaced with the redesigned multi-scale convolution Res2Net in the MV2 module to enhance the ability of the algorithm to learn global and local features. …”
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The impacts of training data spatial resolution on deep learning in remote sensing by Christopher Ardohain, Songlin Fei

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Implementation of real time root crop leaf classification using CNN on raspberry-Pi microprocessor by M.D. Rakesh, M. Jeevankumar, S.B. Rudraswamy

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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

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Boost Cyclone Intensity Estimation via Processing Motion Information and Embedding Rotation Invariance by Xiaoping Cheng, Xinxin Kong, Jianfang Fei, Xiaogang Huang

“…To ensure that the feature extraction module of the network possesses rotation invariance, each basic convolution operation is replaced with a rotation invariant convolution operation. …”
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Hybrid CNN-GCN Network for Hyperspectral Image Classification by Cuiping Shi, Diling Liao, Liguo Wang

“…Unlike CNN, graph convolutional networks (GCNs) can well handle the intrinsic manifold structures of hyperspectral images (HSIs). …”
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Identification of line status changes using phasor measurements through deep learning networks by N. E. Gotman, G. P. Shumilova

“…The combination of different CNN architectures and the number of time slices from the moment of line status change are used to detect the power grid topology. …”
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