Výsledky vyhledávání - deep-learning encoder–decoder*

Deep encoder–decoder-NN: A deep learning-based autonomous vehicle trajectory prediction and correction model Autor Hui, Fei, Wei, Cheng, ShangGuan, Wei, Ando, Ryosuke, Fang, Shan

“…An accurate vehicle trajectory prediction promotes understanding of the traffic environment and enables task criticality assessment in advanced driver…”
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PTF-Vāc: An explainable and generative deep co-learning encoder–decoder system for ab initio discovery of plant transcription factor binding sites Autor Gupta, Sagar, Jyoti, Bhati, Umesh, Kesarwani, Veerbhan, Sharma, Akanksha, Shankar, Ravi

“…Discovery of transcription factor (TF) binding sites (TFBSs) and their motifs in plants poses significant challenges due to high cross-species variability. The…”
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An Encoder–Decoder Deep Learning Framework for Building Footprints Extraction from Aerial Imagery Autor Khan, Sultan Daud, Alarabi, Louai, Basalamah, Saleh

“…Building footprints segmentation in high-resolution satellite images has wide range of applications in disaster management, land cover analysis and urban…”
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Enhanced Deep Learning Approach Based on the Deep Convolutional Encoder-Decoder Architecture for Electromagnetic Inverse Scattering Problems Autor Yao, He Ming, Jiang, Lijun, Sha, Wei E. I.

“… The proposed complex-valued deep learning model for solving EMIS problems composes of an encoder network and its corresponding decoder network, followed by a final pixel-wise regression layer…”
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Ship trajectory prediction using encoder-decoder-based deep learning models Autor Düz, Bülent, van Iperen, Erwin

“… (Automatic Identification System) data and the progress made in the deep learning methods in the last decade motivate us to attack this problem from a data-driven perspective…”
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A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images Autor Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

“… In this paper, we propose a robust deep learning segmentation framework for the anatomical structure in chest radiographs that utilizes a dual encoder…”
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DRL-ED: A deep reinforcement learning with encoder–decoder method for traffic flow prediction Autor Xia, Dawen, Chen, Yan, Zhang, Wenyong, Wei, Xiaoduo, Hu, Yang, Li, Yantao, Li, Huaqing

“… To this end, this paper proposes a Deep Reinforcement Learning with Encoder-Decoder (DRL-ED) method for traffic flow prediction…”
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A Multiscale Deep Encoder–Decoder with Phase Congruency Algorithm Based on Deep Learning for Improving Diagnostic Ultrasound Image Quality Autor Kim, Ryeonhui, Kim, Kyuseok, Lee, Youngjin

“… This study proposes a multiscale deep encoder–decoder with phase congruency (MSDEPC) algorithm based on deep learning to improve the quality of diagnostic ultrasound images…”
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Deep encoder–decoder-based shared learning for multi-criteria recommendation systems Autor Fraihat, Salam, Abu Tahon, Bushra, Alhijawi, Bushra, Awajan, Arafat

“… This research paper proposes two deep encoder–decoder models based on shared learning for a multi-criteria RS, multi-modal deep encoder…”
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Author Correction: A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images Autor Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun

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Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption Autor Guo, Jing, Lin, Penghui, Zhang, Limao, Pan, Yue, Xiao, Zhonghua

“…Accurate energy consumption prediction models can bring tremendous benefits to building energy efficiency, where the use of data-driven models allows models to…”
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An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds Autor Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao

“… To address this problem, this research proposes an encoder-decoder deep learning method combined with point cloud techniques for multi-class object segmentation, including seepage, from 3D tunnel point clouds…”
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Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions Autor Chen, Chao, Zhang, Limao, Zhou, Cheng, Luo, Yongqiang

“…Building decarbonization is beneficial to improve energy efficiency and mitigate climate change worldwide, and it is necessary to accurately investigate…”
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A printed formula recognition method based on the "Encoder-Decoder" deep learning model Autor Chen, Yilin, Shi, Zhan

“…With the popularization of computers and the rapid development of internet technology, electronic books and literature have become important information…”
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Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks Autor Zhang, Limao, Guo, Jing, Lin, Penghui, Tiong, Robert L.K.

“…Efficient management of building energy consumption is paramount for sustainability and cost-effectiveness, where anomalies in energy usage patterns can…”
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Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography Autor Cheng, Chongsheng, Shang, Zhexiong, Shen, Zhigang

“… To address this challenge, a customized deep learning model based on encoder-decoder architecture is proposed to segment the delaminated areas in thermal images…”
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A dual encoder–decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions Autor Niyas, S., Kesavadas, Chandrasekharan, Rajan, Jeny

“… We propose a novel 3D deep learning model employing a multi-view dual encoder–decoder architecture to precisely segment FCD lesions within MRI volumes…”
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Effectiveness of encoder-decoder deep learning approach for colorectal polyp segmentation in colonoscopy images Autor Hamza, Ameer, Bilal, Muhammad, Ramzan, Muhammad, Malik, Nadia

“… This study presents an enhanced deep learning approach using encoder-decoder architecture for colorectal polyp segmentation to capture and utilize…”
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Encoder-decoder deep learning network for simultaneous reconstruction of fluorescence yield and lifetime distributions Autor Cheng, Jiaju, Zhang, Peng, Liu, Fei, Liu, Jie, Hui, Hui, Tian, Jie, Luo, Jianwen

“…A time-domain fluorescence molecular tomography in reflective geometry (TD-rFMT) has been proposed to circumvent the penetration limit and reconstruct…”
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Software reliability prediction using a deep learning model based on the RNN encoder–decoder Autor Wang, Jinyong, Zhang, Ce

“…•We are the first to propose a deep-learning model to predict software reliability…”
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