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  1. 41

    A Stock Closing Price Prediction Model Based on CNN-BiSLSTM by Haiyao Wang, Jianxuan Wang, Lihui Cao, Yifan Li, Qiuhong Sun, Jingyang Wang

    Published 2021-01-01
    “…This paper proposes a composite model CNN-BiSLSTM to predict the closing price of the stock. …”
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    Article
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    Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction by Harya Widiputra, Adele Mailangkay, Elliana Gautama

    Published 2021-01-01
    “…The hybrid ensemble model built in this study is made up of two main components, each with its own set of functions derived from the CNN and LSTM models. For multiple parallel financial time-series estimation, the proposed model is called multivariate CNN-LSTM. …”
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    Article
  4. 44

    A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

    Published 2025-01-01
    “…A lightweight power quality disturbances (PQDs) recognition model that integrates convolutional neural network (CNN) and Transformer (CaT) is proposed to address the high number of parameters and computational complexity in existing deep learning-based models. …”
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    Article
  5. 45

    An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method by Xiaoxun Zhu, Jianhong Zhao, Dongnan Hou, Zhonghe Han

    Published 2019-01-01
    “…This study proposes a symmetrized dot pattern (SDP) characteristic information fusion-based convolutional neural network (CNN) fault diagnosis method to resolve issues of high complexity, nonlinearity, and instability in original rotor vibration signals. …”
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    Article
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    Optimized CNN-Based Recognition of District Names of Punjab State in Gurmukhi Script by Sandhya Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Hamza Turabieh, Lokesh Sharma, Zelalem Kiros Bitsue

    Published 2022-01-01
    “…To recognize the district names, a CNN-based architecture is proposed by employing a Holistic approach. …”
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    Article
  9. 49

    Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN by Mengmeng Huang, Fang Liu, Xianfa Meng

    Published 2021-01-01
    “…Wherefore, this study designs the enhanced-shape CNN, which enhances the target shape at the input. …”
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    Article
  10. 50

    Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

    Published 2024-11-01
    Subjects: “…classification, cnn, deep learning, riau batik.…”
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    Article
  11. 51

    DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

    Published 2025-12-01
    “…This paper introduces an innovative Dual-Channel BiLSTM-CNN (DC-BiLSTM-CNN) algorithm. Based on the language characteristics of Chinese product reviews, a sentiment analysis algorithm, dual channel BiLSTM-CNN (DC-BiLSTM-CNN), is proposed. …”
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    Application of Improved Naive Bayesian-CNN Classification Algorithm in Sandstorm Prediction in Inner Mongolia by Li Tiancheng, Ren Qing-dao-er-ji, Qiu Ying

    Published 2019-01-01
    “…This paper proposed an efficient sandstorm prediction method that considered both the effect of atmospheric movement and ground factors on sandstorm occurrence, called improved naive Bayesian-CNN classification algorithm (INB-CNN classification algorithm). …”
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    Article
  15. 55

    Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction by Neeti Sangwan, Vishal Bhatnagar

    Published 2025-01-01
    “…These latent features train the fused Convolutional Neural Network (CNN) with LSTM to predict the popularity of unseen videos on the trained deep learning network. …”
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    Article
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    Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination by Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman

    Published 2025-01-01
    Subjects: “…cnn, rice, data set, training, mobile application, web browser, real time.cnn, rice, data set, training, mobile application, web browser, real time.…”
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    Article
  18. 58

    Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

    Published 2025-01-01
    “…This paper proposes a convolutional neural network‐long short‐term memory (CNN‐LSTM) network integration model based on spatio‐temporal feature fusion. …”
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    Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

    Published 2025-01-01
    “…Study by Zib emphasizes the challenges in segmenting and recognizing English characters using CNN, revealing the need for supplementary techniques to mitigate errors. …”
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