Výsledky vyhľadávania - "deep-learning encoder–decoder"

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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

    ISSN: 1996-1073, 1996-1073
    Vydavateľské údaje: MDPI AG 01.03.2021
    Vydané v Energies (Basel) (01.03.2021)
    “…Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process. An…”
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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

    ISSN: 2077-0472, 2077-0472
    Vydavateľské údaje: Basel MDPI AG 01.08.2021
    Vydané v Agriculture (Basel) (01.08.2021)
    “…Smart agricultural greenhouses provide well-controlled conditions for crop cultivation but require accurate prediction of environmental factors to ensure ideal…”
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    A Novel Weber Cross Information Sharing Deep Learning Encoder Decoder Model for Emotion Recognition Using Facial Expression Autor Kumar R, Jeen Retna, Stanley, Berakhah.F., V, Gnanaprakash, P, Bini Palas, E, Purusothaman K, D J, Joel Devadass Daniel

    ISSN: 2640-5768
    Vydavateľské údaje: IEEE 26.10.2024
    “…This study introduces an innovative deep learning framework, the Weber Cross Information Sharing Deep Learning Encoder-Decoder (WCISD-ED…”
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    A Channel Adaptive MIMO Spatial Multiplexing UWOC System Based on Deep Learning Encoder/Decoder Autor Zeng, Lingbiao, Yin, Hongxi, Wang, Xinge, Ji, Xiuyang

    Vydavateľské údaje: IEEE 17.05.2023
    “…) system based on the deep learning encoder/decoder to adapt to the channel variation and optimize system performance by learning different water channels and different modulation and demodulation methods…”
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    Spatio-Temporal Network for Sea Fog Forecasting Autor Park, Jinhyeok, Lee, Young Jae, Jo, Yongwon, Kim, Jaehoon, Han, Jin Hyun, Kim, Kuk Jin, Kim, Young Taeg, Kim, Seoung Bum

    ISSN: 2071-1050, 2071-1050
    Vydavateľské údaje: Basel MDPI AG 01.12.2022
    Vydané v Sustainability (01.12.2022)
    “…Sea fog can seriously affect schedules and safety by reducing visibility during marine transportation. Therefore, the forecasting of sea fog is an important…”
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    Self-co-attention neural network for anatomy segmentation in whole breast ultrasound Autor Lei, Baiying, Huang, Shan, Li, Hang, Li, Ran, Bian, Cheng, Chou, Yi-Hong, Qin, Jing, Zhou, Peng, Gong, Xuehao, Cheng, Jie-Zhi

    ISSN: 1361-8415, 1361-8423, 1361-8423
    Vydavateľské údaje: Elsevier B.V 01.08.2020
    Vydané v Medical image analysis (01.08.2020)
    “… To address these issues, a new deep learning encoder-decoder segmentation method based on a self…”
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    Video-Based Eye Blink Identification and Classification Autor Nousias, George, Panagiotopoulou, Eirini-Kanella, Delibasis, Konstantinos, Chaliasou, Aikaterini-Maria, Tzounakou, Anastasia-Maria, Labiris, Georgios

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Vydavateľské údaje: United States IEEE 01.07.2022
    “…+) deep learning encoder-decoder neural architecture -DLED to segment iris and eyelid in both eyes in the acquired images…”
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    Electrocardiogram lead conversion from single-lead blindly-segmented signals Autor Beco, Sofia C., Pinto, João Ribeiro, Cardoso, Jaime S.

    ISSN: 1472-6947, 1472-6947
    Vydavateľské údaje: London BioMed Central 29.11.2022
    “…Background The standard configuration’s set of twelve electrocardiogram (ECG) leads is optimal for the medical diagnosis of diverse cardiac conditions…”
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    Hurricane Forecasting: A Novel Multimodal Machine Learning Framework Autor Boussioux, Léonard, Zeng, Cynthia, Guénais, Théo, Bertsimas, Dimitris

    ISSN: 0882-8156, 1520-0434
    Vydavateľské údaje: Boston American Meteorological Society 01.06.2022
    Vydané v Weather and forecasting (01.06.2022)
    “… Our multimodal framework, called Hurricast, efficiently combines spatial–temporal data with statistical data by extracting features with deep learning encoder…”
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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

    ISSN: 2590-3462, 2590-3462
    Vydavateľské údaje: China Elsevier Inc 10.11.2025
    Vydané v Plant communications (10.11.2025)
    “…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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    Text-to-Speech for Low-Resource Agglutinative Language With Morphology-Aware Language Model Pre-Training Autor Liu, Rui, Hu, Yifan, Zuo, Haolin, Luo, Zhaojie, Wang, Longbiao, Gao, Guanglai

    ISSN: 2329-9290, 2329-9304
    Vydavateľské údaje: Piscataway IEEE 01.01.2024
    “…Text-to-Speech (TTS) aims to convert the input text to a human-like voice. With the development of deep learning, encoder-decoder based TTS models perform…”
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    A low footprint olive grove weather forecasting using a single-layered seasonal attention encoder-decoder model Autor Abdelwahab, Mohamed H., Mostafa, Hassan, Khattab, Ahmed

    ISSN: 1574-9541
    Vydavateľské údaje: Elsevier B.V 01.07.2023
    Vydané v Ecological informatics (01.07.2023)
    “… In this work, we propose a deep learning encoder-decoder model that uses a seasonal attention mechanism for time series forecasting of weather variables…”
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    Blur-Robust Nuclei Segmentation for Immunofluorescence Images Autor Mandal, Devraj, Vahadane, Abhishek, Sharma, Shreya, Majumdar, Shantanu

    ISSN: 2694-0604, 2694-0604
    Vydavateľské údaje: United States IEEE 01.11.2021
    “… of nuclei segmentation algorithms on out-of-focus images for different levels of blur. A deep learning encoder-decoder framework with a novel Y forked decoder is proposed here…”
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    Multimodal data fusion enhanced deep learning prediction of crack path segmentation in CFRP composites Autor Zhang, Peng, Tang, Keke, Chen, Guangxu, Li, Jiangfeng, Li, Yan

    ISSN: 0266-3538
    Vydavateľské údaje: Elsevier Ltd 20.10.2024
    Vydané v Composites science and technology (20.10.2024)
    “…Carbon fiber-reinforced polymer (CFRP) composites are extensively used in various engineering applications due to their superior strength-to-weight ratio and…”
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    SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging Autor Misra, Tanuj, Arora, Alka, Marwaha, Sudeep, Chinnusamy, Viswanathan, Rao, Atmakuri Ramakrishna, Jain, Rajni, Sahoo, Rabi Narayan, Ray, Mrinmoy, Kumar, Sudhir, Raju, Dhandapani, Jha, Ranjeet Ranjan, Nigam, Aditya, Goel, Swati

    ISSN: 1746-4811, 1746-4811
    Vydavateľské údaje: London BioMed Central 18.03.2020
    Vydané v Plant methods (18.03.2020)
    “…Background High throughput non-destructive phenotyping is emerging as a significant approach for phenotyping germplasm and breeding populations for the…”
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    Concrete spalling detection system based on semantic segmentation using deep architectures Autor Yasmin, Tamanna, La, Duc, La, Kien, Nguyen, Minh Tuan, La, Hung Manh

    ISSN: 0045-7949, 1879-2243
    Vydavateľské údaje: Elsevier Ltd 15.08.2024
    Vydané v Computers & structures (15.08.2024)
    “…This paper presents a method for detecting the location of spalling and assessing the severity level of the spalling in concrete surfaces. The proposed method…”
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    A Study on Deep Learning Based Simplification for Lightweighting of Underground Geospatial Information Data Autor Kim, Yong‐Tae, Kouh, Hoon‐Joon

    ISSN: 1931-4973, 1931-4981
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.03.2023
    “… The proposed method applies simplification by extracting refined vertex feature information using a deep learning encoder…”
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    Temporal Fusion Based 1-D Sequence Semantic Segmentation Model for Automatic Precision Side Scan Sonar Bottom Tracking Autor Qin, Xiaoming, Wu, Ziyin, Luo, Xiaowen, Li, Bin, Zhao, Dineng, Zhou, Jieqiong, Wang, Mingwei, Wan, Hongyang, Chen, Xiaolun

    ISSN: 0196-2892, 1558-0644
    Vydavateľské údaje: New York IEEE 01.01.2023
    “… The TFSSM-1D uses the deep learning encoder-decoder model for mapping inputs to 1-D semantic label outputs, with the aid of preprocess and temporal fusion modules to improve the accuracy and robustness…”
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    FirmCCF: Detecting Custom Cryptographic Function Vulnerabilities Through Query-driven Approaches Autor Huang, Jing, Chen, Jiongyi, Wang, Min, Hu, Yupeng

    ISSN: 2327-4662, 2327-4662
    Vydavateľské údaje: IEEE 2025
    “… FirmCCF leverages an improved deep learning encoder-decoder classification model, CodeT5-cate, to identify and classify cryptographic functions in source code and decompiled firmware…”
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