Innovative Topologies and Algorithms for Neural Networks
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- Dong Xu & Ruping Ge & Zhihua Niu, 2019. "Forward-Looking Element Recognition Based on the LSTM-CRF Model with the Integrity Algorithm," Future Internet, MDPI, vol. 11(1), pages 1-16, January.
- Xiangpeng Song & Hongbin Yang & Congcong Zhou, 2019. "Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillance Scenarios," Future Internet, MDPI, vol. 11(11), pages 1-13, November.
- Qiao Meng & Huansheng Song & Gang Li & Yu’an Zhang & Xiangqing Zhang, 2019. "A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles," Complexity, Hindawi, vol. 2019, pages 1-14, February.
- Fabíola Martins Campos de Oliveira & Edson Borin, 2019. "Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices," Future Internet, MDPI, vol. 11(10), pages 1-30, September.
- Xinyu Zhang & Xiaoqiang Li, 2019. "Dynamic Gesture Recognition Based on MEMP Network," Future Internet, MDPI, vol. 11(4), pages 1-11, April.
- Wenkuan Li & Peiyu Liu & Qiuyue Zhang & Wenfeng Liu, 2019. "An Improved Approach for Text Sentiment Classification Based on a Deep Neural Network via a Sentiment Attention Mechanism," Future Internet, MDPI, vol. 11(4), pages 1-15, April.
- Ying Zhang & Yimin Chen & Chen Huang & Mingke Gao, 2019. "Object Detection Network Based on Feature Fusion and Attention Mechanism," Future Internet, MDPI, vol. 11(1), pages 1-14, January.
- Hongwei Zhao & Weishan Zhang & Haoyun Sun & Bing Xue, 2019. "Embedded Deep Learning for Ship Detection and Recognition," Future Internet, MDPI, vol. 11(2), pages 1-12, February.
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Cited by:
- Marco Ferretti & Ugo Fiore & Francesca Perla & Marcello Risitano & Salvatore Scognamiglio, 2022. "Deep Learning Forecasting for Supporting Terminal Operators in Port Business Development," Future Internet, MDPI, vol. 14(8), pages 1-19, July.
- Vidhi Tiwari & Kirti Pal, 2022. "Short-Term Load Forecasting for a Captive Power Plant Using Artificial Neural Network," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 12(1), pages 1-11, January.
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Keywords
autoencoders; long-short-term memory networks; convolution neural Networks; object recognition; sentiment analysis; text recognition; gesture recognition; IoT (Internet of Thing) systems; medical applications;All these keywords.
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