Výsledky vyhľadávania - "Deep Learning"

UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision Autor Lee, Jinmook, Kim, Changhyeon, Kang, Sanghoon, Shin, Dongjoo, Kim, Sangyeob, Yoo, Hoi-Jun

“…An energy-efficient deep neural network (DNN) accelerator, unified neural processing unit (UNPU), is proposed for mobile deep learning applications. The UNPU…”
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Cover Image Autor Eze Ahanonu, Goerke, Ute, Johnson, Kevin, Toner, Brian, Martin, Diego R, Deshpande, Vibhas, Bilgin, Ali, Altbach, Maria

“…The cover image is based on the Research Article Accelerated 2D radial Look‐Locker T1 mapping using a deep learning‐based rapid inversion recovery sampling…”
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Editorial for “Comparison of a Deep Learning‐Accelerated vs. Conventional T2 ‐Weighted Sequence in Biparametric MRI of the Prostate” Autor Wu, Zhe, Bhayana, Rajesh, Uludağ, Kâmil

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0463 Deep Learning Classification of Future PAP Adherence based on CMS and other Adherence Criteria Autor Rusk, Samuel, Nygate, Yoav, Fernandez, Chris, Shi, Jiaxiao M, Arguelles, Jessica, Klimper, Matthew T, Watson, Nathaniel F, Stretch, Robert, Zeidler, Michelle, Sekhon, Anupamjeet, Becker, Kendra, Kim, Joseph, Hwang, Dennis

“…Introduction Improving positive airway pressure (PAP) adherence is crucial to sleep apnea therapy success. Although behavioral interventions may be deployed to…”
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Strategical Deep Learning for Photonic Bound States in the Continuum Autor Ma, Xuezhi, Ma, Yuan, Cunha, Preston, Liu, Qiushi, Kudtarkar, Kaushik, Xu, Da, Wang, Jiafei, Chen, Yixin, Wong, Zi Jing, Liu, Ming, Hipwell, M. Cynthia, Lan, Shoufeng

“…Resonance is instrumental in modern optics and photonics. While one can use numerical simulations to sweep geometric and material parameters of optical…”
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Deep learning in clinical natural language processing: a methodical review Autor Wu, Stephen, Roberts, Kirk, Datta, Surabhi, Du, Jingcheng, Ji, Zongcheng, Si, Yuqi, Soni, Sarvesh, Wang, Qiong, Wei, Qiang, Xiang, Yang, Zhao, Bo, Xu, Hua

“…This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative…”
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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning Autor She, Changyang, Sun, Chengjian, Gu, Zhouyou, Li, Yonghui, Yang, Chenyang, Poor, H. Vincent, Vucetic, Branka

“…As one of the key communication scenarios in the fifth-generation and also the sixth-generation (6G) mobile communication networks, ultrareliable and…”
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Decoupled Knowledge Distillation Autor Zhao, Borui, Cui, Quan, Song, Renjie, Qiu, Yiyu, Liang, Jiajun

“…State-of-the-art distillation methods are mainly based on distilling deep features from intermediate layers, while the significance of logit distillation is…”
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Development of a Distributed Physics‐Informed Deep Learning Hydrological Model for Data‐Scarce Regions Autor Zhong, Liangjin, Lei, Huimin, Yang, Jingjing

“…Climate change has exacerbated water stress and water‐related disasters, necessitating more precise streamflow simulations. However, in the majority of global…”
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Correction: Zhao et al. Physics-Informed Deep Learning for Karst Spring Prediction: Integrating Variational Mode Decomposition and Long Short-Term Memory with Attention. Water 2025, 17, 2043 Autor Zhao, Liangjie, Fazi, Stefano, Luan, Song, Wang, Zhe, Li, Cheng, Fan, Yu, Yang, Yang

“…In the original publication [...]…”
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Single-Atom Level Determination of 3-Dimensional Surface/Interface Atomic Structures via Deep Learning-Assisted Atomic Electron Tomography Autor Lee, Juhyeok, Jo, Hyesung, Jeong, Chaehwa, Lee, Taegu, Ryu, Seunghwa, Yang, Yongsoo

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A Comprehensive Survey of Loss Functions in Machine Learning Autor Wang, Qi, Ma, Yue, Zhao, Kun, Tian, Yingjie

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Deep learning model for predicting immunotherapy response in patients with advanced NSCLC: Study findings demonstrate a strong and independent deep learning‐based feature associated with an immune checkpoint inhibitor response in patients with NSCLC across cohorts Autor Nierengarten, Mary Beth

“…This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities. In this issue, study findings…”
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Understanding, Investigating, and promoting deep learning in language education: A survey on chinese college students' deep learning in the online EFL teaching context Autor Jiang, Ruihong

“…This study aims to (1) develop and validate the four-dimension model hypothesis of deep learning to better understand deep learning in language education; (2)…”
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Einsatz künstlicher Intelligenz mittels Deep Learning in der dermatopathologischen Routinediagnostik des Basalzellkarzinoms: Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma Autor Duschner, Nicole, Baguer, Daniel Otero, Schmidt, Maximilian, Griewank, Klaus Georg, Hadaschik, Eva, Hetzer, Sonja, Wiepjes, Bettina, Le'Clerc Arrastia, Jean, Jansen, Philipp, Maass, Peter, Schaller, Jörg

“…ZusammenfassungHintergrundDermatopathologische Institute stehen aufgrund immer höherer Anforderungen bei andererseits schwindenden Ressourcen vor zunehmenden…”
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Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future Directions Autor Taye, Mohammad Mustafa

“…Convolutional neural networks (CNNs) are one of the main types of neural networks used for image recognition and classification. CNNs have several uses, some…”
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Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments Autor Bai, Xiao, Wang, Xiang, Liu, Xianglong, Liu, Qiang, Song, Jingkuan, Sebe, Nicu, Kim, Been

“…•A detailed survey of explainable deep learning for efficient and robust pattern recognition is represented.•Explainable methods for deep neural networks,…”
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Deep learning-designed dynamics Autor Johnson, Russell

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Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning Autor Akram, M. Waqar, Li, Guiqiang, Jin, Yi, Chen, Xiao, Zhu, Changan, Ahmad, Ashfaq

“…[Display omitted] •State-of-the-art framework is proposed for automatic defect detection in PV modules.•Infrared images dataset of normal operating and…”
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Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model Autor Alanazi, Muhannad Faleh, Ali, Muhammad Umair, Hussain, Shaik Javeed, Zafar, Amad, Mohatram, Mohammed, Irfan, Muhammad, AlRuwaili, Raed, Alruwaili, Mubarak, Ali, Naif H., Albarrak, Anas Mohammad

“…With the advancement in technology, machine learning can be applied to diagnose the mass/tumor in the brain using magnetic resonance imaging (MRI). This work…”
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