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161

Machine learning applications in breast cancer prediction using mammography
Harshvardhan, G.M. ; Mori, Kei ; Verma, Sarika ; et al.
In Image and Vision Computing December 2024 152

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162

Deep Learning Architecture Reduction for fMRI Data
Ruben Alvarez-Gonzalez ; Andres Mendez-Vazquez
Brain Sciences, Vol 12, Iss 2, p 235 (2022)

CNN machine learning deep learning computer vision transfer learning Neurosciences. Biologica... …
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163

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164

View-independent gait events detection using CNN-transformer hybrid network
Jamsrandorj, Ankhzaya ; Jung, Dawoon ; Kumar, Konki Sravan ; et al.
In Journal of Biomedical Informatics November 2023 147

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165

Integrative deep learning architectures and convolutional neural networks for advanced fault classification in photovoltaic modules
Raj, Rayappa David Amar ; Yanamala, Rama Muni Reddy ; Pallakonda, Archana ; et al.
In Sustainable Energy Technologies and Assessments January 2026 85

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166

LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis
Debnath, Jesika ; Uddin Khondakar Pranta, Al Shahriar ; Hossain, Amira ; et al.
In Informatics in Medicine Unlocked 2025 57

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167

Deep learning for the detection of neurological diseases
Apprentissage profond pour la prédiction des maladies neurologiques
Nguyen, Huy-Dung ; Laboratoire Bordelais de Recherche en Informatique (LaBRI) ; Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS) ; et al.
Image Processing [eess.IV]. Université de Bordeaux, 2023. English. ⟨NNT : 2023BORD0288⟩

Deep learning Neurological diseases Disease diagnosis Apprentissage profond Maladies neurologiques Diagnostic de maladie …
Dissertation
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168

Image denoising using complex-valued deep CNN
Quan, Yuhui ; Chen, Yixin ; Shao, Yizhen ; et al.
In Pattern Recognition March 2021 111

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169

Spatiotemporal video encoders and zero-shot segmentation for 3D action recognition and behavior analysis of broiler chickens associated with different welfare indicators and body weight
Asali, Ehsan ; Li, Guoming ; Saeidifar, Mahtab ; et al.
In Computers and Electronics in Agriculture 1 February 2026 241

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170

Evaluating single-shot and two-stage vision-based detection of occupancy activity in energy-efficient buildings.
Zhou, Shupeng ; Zhang, Wuxia ; Tien, Paige Wenbin ; et al.
Energy & Buildings. Oct2025, Vol. 345, pN.PAG-N.PAG. 1p.

REAL-time computing OBJECT recognition (Comp... COMPUTER vision AIR conditioning ADAPTIVE control systems
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171

H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis
Zhou, Xiaogen ; Nie, Xingqing ; Li, Zhiqiang ; et al.
In Information Sciences October 2022 613:575-590

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172

Deep convolutional networks for inverse problems in image and video restoration
Réseaux de neurones convolutifs profonds pour problèmes inverses en restauration d'images et de vidéos
Chiche, Benjamin Naoto ; Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) ; et al.
Astrophysics [astro-ph]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASP115⟩

Deconvolution Radio interferometry Video super-Resolution Restoration Inverse problem Deep learning …
Dissertation
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173

Variable convolution kernel with feature fusion and transfer learning for leaf disease classification.
Jamal, Swapna ; Judith, J. E.
Agricultural Engineering International: CIGR Journal. Sep2025, Vol. 27 Issue 3, p178-194. 17p.

DEEP learning CONVOLUTIONAL neural net... PLANT diseases AGRICULTURE TRANSFER of training FEATURE extraction …
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174

A Multi-Scale CNN-BiLSTM Framework with An Attention Mechanism for Interpretable Structural Damage Detection
Shengping Wu ; Jingliang Liu
Infrastructures, Vol 10, Iss 4, p 82 (2025)

structural health monito... deep learning attention mechanism interpretability vibration signal analysi... Technology
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175

融合多层特征的多尺度行人检测. (Chinese)
曾接贤 ; 方琦 ; 符祥 ; et al.
Journal of Image & Graphics; Oct2019, Vol. 24 Issue 10, p1683-1691, 9p

ARTIFICIAL neural networ... TRAFFIC monitoring VIDEO surveillance GAUSSIAN distribution PEDESTRIANS DEEP learning …
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176

LD‐Net: A novel one‐stage knowledge distillation algorithm for lightning detection network.
Fu, Junjie ; Li, Yingxiang ; Liu, Jiawei ; et al.
Meteorological Applications. Jan/Feb2024, Vol. 31 Issue 1, p1-13. 13p.

DEEP learning THUNDERSTORMS OBJECT recognition (Comp... LIGHTNING CONVOLUTIONAL neural net... ELECTROMAGNETIC interfer... …
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177

Three-dimensional CNN-inspired deep learning architecture for Yoga pose recognition in the real-world environment.
Jain, Shrajal ; Rustagi, Aditya ; Saurav, Sumeet ; et al.
Neural Computing & Applications; Jun2021, Vol. 33 Issue 12, p6427-6441, 15p

DEEP learning YOGA POSE estimation (Compute... CONVOLUTIONAL neural net... YOGA techniques HUMAN behavior …
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178

Deep Learning Accelerated Studies of Electrochemical Systems – Applications in the Analysis of Wire Electrodes and Cyclic Voltammetry
Hoar, Benjamin

Inorganic chemistry Electrochemistry Electrode Design Image Classification Machine Learning
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179

Research from Northeastern University Provides New Data on Intelligence-Based Medicine (Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer: a comprehensive comparative study).
Health & Medicine Week; 71/9/2024, p5046-5046, 1p

NORTHEASTERN University... SIGNAL convolution CONVOLUTIONAL neural net... IMAGE recognition (Compu... DEEP learning TRANSFORMER models …
Zeitschrift
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180

基于改进 Mask R-CNN 的黄瓜叶面积测量模型.
章永龙 ; 解亚玲 ; 徐向英 ; et al.
Transactions of the Chinese Society of Agricultural Engineering. Sep2023, Vol. 39 Issue 17, p182-189. 8p.

LEAF morphology CONVOLUTIONAL neural net... PLANT indicators SUSTAINABILITY LEAF area CUCUMBERS …
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