Evaluation of Deep Learning Models for Insects Detection at the Hive Entrance for a Bee Behavior Recognition System by Gabriela Vdoviak, Tomyslav Sledevič, Artūras Serackis, Darius Plonis, Dalius Matuzevičius, Vytautas Abromavičius

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Fault diagnosis in photovoltaic arrays: A robust and efficient approach using feature engineering and 1D-CNN by Yousif Mahmoud Ali, Lei Ding

“…Moreover, the pre-trained 1D-CNN model can diagnose faults across different PV array scales without requiring retraining, highlighting the model transferability in the proposed method.…”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…This study proposes a multi-stage altitude prediction model using attention mechanisms and temporal convolutional neural networks (TCNs).Methods The aircraft’s flight stages are determined to facilitate targeted altitude prediction for different flight phases. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…Mixed-precision quantization assigns different quantization precision to different layers of a CNN. …”
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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

“…Hand gestures are classified by the Convolutional Neural Network (CNN) model to different signs. …”
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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

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Analysis and Prediction of Deformation of Shield Tunnel Under the Influence of Random Damages Based on Deep Learning by Xiaokai Niu, Yuqiang Pan, Wei Li, Zhitian Xie, Wei Song, Chengping Zhang

“…First, a refined three-dimensional finite element model was established, and a random damage modeling method was developed to simulate the deformation evolution of tunnel segments under different damage ratios. Additionally, a statistical analysis was conducted to assess the uncertainty in deformation caused by random damage. …”
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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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