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检索条件"任意字段=Neural and Stochastic Methods in Image and Signal Processing"
9373 条 记 录,以下是711-720 订阅
排序:
Applications of deep learning-based resolution-enhanced seismic data in fault identification
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GEOPHYSICAL PROSPECTING 2025年 第2期73卷 523-542页
作者: Lin, Lei Li, Chenglong Kuang, Yanbin Xin, Xing Zhong, Zhi China Univ Geosci Wuhan Key Lab Theory & Technol Petr Explorat & Dev Hubei Hubei Peoples R China
High-quality seismic data play a crucial role in accurately interpreting tectonic and lithologic features such as small faults, river margins and thin beds. Over the past decades, researchers have developed numerous m... 详细信息
来源: 评论
Learning the image Prior by Unrolling an Optimization Method  30
Learning the Image Prior by Unrolling an Optimization Method
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30th European signal processing Conference (EUSIPCO)
作者: Bonettini, Silvia Franchini, Giorgia Pezzi, Danilo Prato, Marco Univ Modena & Reggio Emilia Dept Informat Phys & Math Modena Italy
Nowadays neural networks are omnipresent thanks to the amazing adaptability they possess, despite their poor interpretability and the difficulties they give when manipulating the parameters. On the other side, we have... 详细信息
来源: 评论
A generalized neural network for accurate estimation of soot temperature in laminar flames using a single RGB image
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JOURNAL OF THE ENERGY INSTITUTE 2025年 119卷
作者: Portilla, J. Cruz, J. J. Escudero, F. Demarco, R. Fuentes, A. Carvajal, G. Univ Tecn Federico Santa Maria Dept Elect & Informat Arteaga Alemparte 943 Concepcion Chile Pontificia Univ Catolica Peru Mech Engn Sect San Miguel Lima Peru Univ Tecn Federico Santa Maria Dept Ind Ave Espana 1680 Casilla 110-V Valparaiso Chile Univ Tecn Federico Santa Maria Dept Elect Ave Espana 1680Casilla 110-V Valparaiso Chile
Soot temperature is a relevant factor related to the efficiency of combustion processes. Artificial neural networks have started to be used to estimate soot temperature distributions in laminar flames by analyzing ima... 详细信息
来源: 评论
Disrupting Anti-Spoofing Systems by images of Consistent Identity
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IEEE signal processing LETTERS 2024年 31卷 2485-2489页
作者: Ding, Feng Jiang, Zihan Zhou, Yue Xu, Jianfeng Zhu, Guopu Nanchang Univ Sch Software Nanchang 330031 Peoples R China Harbin Inst Technol Sch Cyberspace Secur Harbin 150006 Peoples R China
Face anti-spoofing aims to distinguish between live and spoof images to ensure the authenticity and reliability of face recognition. methods based on convolutional neural networks surpass prior approaches in accuracy ... 详细信息
来源: 评论
Deep learning-assisted framework for automation of lumbar vertebral body segmentation, measurement, and deformity detection in MR images
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BIOMEDICAL signal processing AND CONTROL 2025年 106卷
作者: Al-Haidri, Walid Akhatov, Aynur Usmanova, Indira Salimov, Farkhad Al-Habeeb, Mohammed Il'yasov, Kamil A. Brui, Ekaterina A. ITMO Univ Sch Phys & Engn St Petersburg Russia Multidisciplinary Treatment & Diagnost Ctr BARSMED Kazan Russia Kazan Fed Univ Dept Med Phys Kazan Russia
Detecting and accurately quantifying vertebral body dimensions is essential for the assessment of vertebral deformities and fractures. Traditional manual measurement techniques are time-consuming and labor-intensive. ... 详细信息
来源: 评论
Review of identification technologies for stray animal governance  5
Review of identification technologies for stray animal gover...
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5th International Conference on signal processing and Computer Science, SPCS 2024
作者: Han, Puze College of Science and Engineering University of Minnesota Twin Cities Minneapolis55455 United States
In recent years, societal changes have led to a growing prominence of pets in people's lives. However, uncontrolled pet reproduction in urban areas has given rise to a significant issue of stray animals, posing se... 详细信息
来源: 评论
MATPR-UNET: A MULTI ATTENTION TWO-PATH RESIDUAL UNET FOR FOCAL CORTICAL DYSPLASIA LESIONS SEGMENTATION  49
MATPR-UNET: A MULTI ATTENTION TWO-PATH RESIDUAL UNET FOR FOC...
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49th IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Zhang, Wenjing Yu, Hao Zhang, Manli Gao, Gongpeng Kang, Guixia Cai, Lixin Beijing Univ Posts & Telecommun Minist Educ Key Lab Univ Wireless Commun Beijing Peoples R China Peking Univ First Hosp Dept Pediat Epilepsy Ctr Beijing Peoples R China
Medical imaging is now a widely used test for the preoperative evaluation of focal cortical dysplasia (FCD). Deep learning-based methods can learn lesion features from image data to automatically recognize and segment... 详细信息
来源: 评论
DeepFLAIR: A neural network approach to mitigate signal and contrast loss in temporal lobes at 7 Tesla FLAIR images
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MAGNETIC RESONANCE IMAGING 2024年 110卷 57-68页
作者: Uher, Daniel Drenthen, Gerhard S. Poser, Benedikt A. Hofman, Paul A. M. Wagner, Louis G. van Lanen, Rick H. G. J. Hoeberigs, Christianne M. Colon, Albert J. Schijns, Olaf E. M. G. Jansen, Jacobus F. A. Backes, Walter H. Maastricht Univ Med Ctr Dept Radiol & Nucl Med Maastricht Netherlands Maastricht Univ Mental Hlth & Neurosci Inst MHeNs Maastricht Netherlands Maastricht Univ Fac Psychol & Neurosci FPN Maastricht Netherlands Maastricht Univ Med Ctr Dept Neurosurg Maastricht Netherlands Kempenhaeghe Maastricht Univ Med Ctr Acad Ctr Epileptol Heeze Maastricht Netherlands Eindhoven Univ Technol Dept Elect Engn Eindhoven Netherlands Maastricht Univ Cardiovasc Dis Inst CARIM Maastricht Netherlands Dept Radiol & Nucl Med P Debyelaan 25 NL-6229 HX Maastricht Netherlands Maastricht Univ Med Ctr l POB 5800 NL-6202 AZ Maastricht Netherlands
Background and purpose: Higher magnetic field strength introduces stronger magnetic field inhomogeneities in the brain, especially within temporal lobes, leading to image artifacts. Particularly, T2-weighted fluid-att... 详细信息
来源: 评论
Degradation Pattern of High Speed Roller Bearings Using a Data-Driven Deep Learning Approach
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JOURNAL OF signal processing SYSTEMS FOR signal image AND VIDEO TECHNOLOGY 2022年 第12期94卷 1557-1568页
作者: Rathore, Maan Singh Harsha, S. P. Indian Inst Technol Roorkee Dept Mech & Ind Engn Adv Mech Vibrat Lab Roorkee 247667 Uttarakhand India
In this paper, a data-driven approach is utilized for bearing condition monitoring involving the classification of different operating states by processing the raw vibration data. The vibration responses are analyzed ... 详细信息
来源: 评论
Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining
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EURASIP JOURNAL ON ADVANCES IN signal processing 2025年 第1期2025卷 1-15页
作者: Jiang, Ping Zhang, Junzi Chen, Jiejie Hubei PolyTech Univ Sch Comp Huangshi 435000 Peoples R China Hubei Normal Univ Coll Comp Sci & Technol Huangshi 435000 Peoples R China
In the age of advanced digital imaging, removing raindrops from images has become a crucial and practical challenge. Traditional methods often fall short and require significant computational resources. To address thi... 详细信息
来源: 评论