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

“…–decoder and a deep neural network (DNN). One modification included introducing an attention mechanism into the traditional encoder–decoder framework…”
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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

“… To this end, we propose an encoder–decoder framework that automatically extracts building footprints from satellite images…”
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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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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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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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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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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

“… To settle this issue, this study proposes an asymmetric encoder-decoder learning framework where the spatial relationships and time-series features between multiple buildings are extracted…”
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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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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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Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions Autor Chen, Chao, Zhang, Limao, Zhou, Cheng, Luo, Yongqiang

“… In this context, this work proposes a physics-informed encoder-decoder framework for predictive carbon emissions estimation…”
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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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Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks Autor Zhang, Limao, Guo, Jing, Lin, Penghui, Tiong, Robert L.K.

“…, or even potential hazards within the building systems. To address this problem, this study introduces an Asymmetric Hybrid Encoder-Decoder (AHED…”
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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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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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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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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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Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization Autor Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Lin, Seng

“…-based encoder-decoder network with Bayesian optimization to do the accurate short-term power load forecasting…”
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Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation Autor Dastgir, Aqsa, Bin, Wang, Saeed, Muhammad Usman, Sheng, Jinfang, Site, Luo, Hassan, Haseeb

“… to the spine’s complex anatomy and imaging artifacts. This study introduces a novel encoder-decoder-based deep learning approach, named LinkNet-152, tailored for automated spine segmentation…”
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Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse Autor Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Zuo, Min, Zhang, Qing-Chuan, Lin, Seng

“… Due to the limitations of existing predictors in dealing with massive, nonlinear, and dynamic temporal data, this study proposes a bidirectional self-attentive encoder–decoder framework (BEDA…”
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