CNN-Trans-SPP: A small Transformer with CNN for stock price prediction by Ying Li, Xiangrong Wang, Yanhui Guo

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DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection by Weixian Su, Donglin Jing

“…To address these challenges, this paper introduces a novel approach known as Dynamic Direction Learning R-CNN (DDL R-CNN), which comprises a dynamic direction learning (DDL) module and a boundary center region offset generation network (BC-ROPN). …”
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Network traffic monitoring based on CNN-SVM by Wu Qian

“…CNN has the ability to recognize intricate patterns in the data and automatically extract valuable characteristics from the raw data. …”
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Research on Fault Diagnosis Method Based on Improved CNN by Hu Hao, Feng Fuzhou, Zhu Junzhen, Zhou Xun, Jiang Pengcheng, Jiang Feng, Xue Jun, Li Yazhi, Sun Guanghui

“…To solve these problems, a fault diagnosis method based on an improved convolutional neural network (CNN) is proposed. Based on the traditional CNN model, a variety of convolution stride modes were added to extract features of different scales of signals and expand the feature dimension. …”
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Adaptive CNN Ensemble for Complex Multispectral Image Analysis by Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman, Arif Budiman

“…The adaptive CNN ensemble framework consists of five (05) modules, including dynamic ensemble classifier (DEC) module. …”
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Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

“…In this paper, we propose a modular pipelined Feedforward CNN Hardware Accelerator (FHA) and a novel Approximate Feedforward CNN Hardware Accelerator (AFHA). …”
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Designing an Efficient System for Emotion Recognition Using CNN by Donia Ammous, Achraf Chabbouh, Awatef Edhib, Ahmed Chaari, Fahmi Kammoun, Nouri Masmoudi

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Comparative analysis of CNN models for handwritten digit recognition by Krystyna Banaszewska, Małgorzata Plechawska-Wójcik

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Feature Guided CNN for Baby’s Facial Expression Recognition by Qing Lin, Ruili He, Peihe Jiang

“…We also propose a feature guided CNN method with a new loss function, called distance loss, to optimize interclass distance. …”
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Advancements in CNN Architectures for Offline Handwritten Arabic Character Recognition by El Ibrahimi Aissam, Elzaar Abdellah, El Akchioui Nabil, Benaya Nabil, El Allati Abderrahim

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Towards Pedestrian Target Detection with Optimized Mask R-CNN by Dong-Hao Chen, Yu-Dong Cao, Jia Yan

“…Aiming at the problem of low pedestrian target detection accuracy, we propose a detection algorithm based on optimized Mask R-CNN which uses the latest research results of deep learning to improve the accuracy and speed of detection results. …”
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Efficient recognition of Parkinson’s disease mice on stepping characters with CNN by Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang

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CNN Based Automatic Speech Recognition: A Comparative Study by Hilal Ilgaz, Beyza Akkoyun, Özlem Alpay, M. Ali Akcayol

“…The most advanced results have been obtained with speech recognition systems created using convolutional neural network (CNN) and recurrent neural networks (RNN). Since CNNs can capture local features effectively, they are applied to tasks with relatively short-term dependencies, such as keyword detection or phoneme- level sequence recognition. …”
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A CNN-LSTM-Based Model to Forecast Stock Prices by Wenjie Lu, Jiazheng Li, Yifan Li, Aijun Sun, Jingyang Wang

“…At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. In the meanwhile, we use MLP, CNN, RNN, LSTM, CNN-RNN, and other forecasting models to predict the stock price one by one. …”
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Robust CNN for facial emotion recognition and real-time GUI by Imad Ali, Faisal Ghaffar

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Lithium-Ion Battery Degradation Based on the CNN-Transformer Model by Yongsheng Shi, Leicheng Wang, Na Liao, Zequan Xu

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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

“…Based on these insights, we propose a pioneering object detection method tailored for industrial environments, termed as oriented R-CNN with disentangled representations (ORDR). The experimental results indicate that our proposed method outperforms better than some of the state-of-the-art detection techniques available.…”
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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…The proposed model is built upon the state-of-the-art CNN architecture VGG16, employing a data augmentation approach. …”
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A Time-Aware CNN-Based Personalized Recommender System by Dan Yang, Jing Zhang, Sifeng Wang, XueDong Zhang

“…In this paper, a time-aware convolutional neural network- (CNN-) based personalized recommender system TC-PR is proposed. …”
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R-CNN-Based Satellite Components Detection in Optical Images by Yulang Chen, Jingmin Gao, Kebei Zhang

“…First, on the basis of the Mask R-CNN, we combine the DenseNet, ResNet, and FPN to construct a new feature extraction structure and obtain the R-CNN based satellite-component-detection model (RSD). …”
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