A Comparative Analysis of Deep Learning-Based Segmentation Techniques for Terrain Classification in Aerial Imagery by Martina Formichini, Carlo Alberto Avizzano

“…Background: Deep convolutional neural networks (CNNs) have become widely popular for many imaging applications, and they have also been applied in various studies for monitoring and mapping areas of land. …”
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Low-Latency Neural Network for Efficient Hyperspectral Image Classification by Chunchao Li, Jun Li, Mingrui Peng, Behnood Rasti, Puhong Duan, Xuebin Tang, Xiaoguang Ma

“…Based on this, we introduce a split convolution approach that replaces depthwise convolution, resulting in enhanced arithmetic intensity without significant increase in latency. …”
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EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

“…Firstly, we propose an efficient mobile inverted bottleneck convolution (EMBC) module for the backbone network. …”
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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

“…The proposed 1D-CNN model consists of two convolutional layers, a single max-pooling layer for feature extraction, two fully connected layers, and a softmax layer for fault classification. …”
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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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Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images by Chittathuru Himala Praharsha, Alwin Poulose, Chetan Badgujar

“…This paper explores using Convolutional Neural Networks (CNNs) to classify tomato pest images automatically. …”
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Unpaired Spatio-Temporal Fusion for Remote Sensing Images via Deformable Global-Local Feature Alignment by Xinlan Ding, Huihui Song, Xu Zhang

“…To solve the above problems, we propose the deformable global-local feature alignment network (DGFANet) for unpaired spatio-temporal fusion, which combines convolutional neural network and transformer to enhance texture and semantic details through global-local alignment. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. …”
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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

“…Furthermore, this study introduces a convolutional neural network (CNN) surrogate model to enable the rapid prediction of shield tunnel deformation under random damage conditions. …”
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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

“…In this paper, we use the Q-learning algorithm based on a convolutional neural network and add sentiment analysis to establish a prediction method for Chinese stock investment tasks. …”
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