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检索条件"任意字段=Conference on Applications of Neural Networks and Machine Learning in Image Processing IX"
6232 条 记 录,以下是441-450 订阅
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Comparisons of Deep learning Approaches to Detect Lung Cancer through Efficient Computer Based CT-based Screening
Comparisons of Deep Learning Approaches to Detect Lung Cance...
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2024 International conference on Artificial Intelligence, Computer, Data Sciences, and applications, ACDSA 2024
作者: Natafji, Wael Einarson, Daniel Kristianstad University Department of Information Technology Kristianstad Sweden Kristianstad University Department of Computer Science Kristianstad Sweden
The avoidance of mortality in lung cancer is highly dependent on finding defects in the lungs early, to initiate effective treatments in time. Most often, lung disorders are diagnosed and treated using chest radiograp... 详细信息
来源: 评论
On the Performance of machine learning Fairness in image Classification  5
On the Performance of Machine Learning Fairness in Image Cla...
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conference on Artificial Intelligence and machine learning for Multi-Domain Operations applications V
作者: Khakurel, Utsab Rawat, Danda B. Howard Univ Dept Elect Engn & Comp Sci Washington DC 20059 USA
In recent years, computer vision has made significant strides in enabling machines to perform a wide range of tasks, from image classification and segmentation to image generation and video analysis. It is a rapidly e... 详细信息
来源: 评论
Handwritten Language Detection using Deep learning  15
Handwritten Language Detection using Deep Learning
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15th International conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024
作者: Mahamuni, Sakshi D. Gawade, Sumant D. Pednekar, Prithviraj P. Vaghela, Karan H. Patil, Sachin Sambhaji D Y Patil University School of Engineering and Technology Ambi Pune India
Handwritten language detection plays a crucial role in various applications, such as document analysis, translation services, and forensic document examination. This research focuses on the development and evaluation ... 详细信息
来源: 评论
Low-Data Classification of Historical Music Manuscripts: A Few-Shot learning Approach  6
Low-Data Classification of Historical Music Manuscripts: A F...
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6th IEEE International conference on image processing, applications and Systems, IPAS 2025
作者: Shatri, Elona Raymond, Daniel Fazekas, Gyorgy Queen Mary University of London Centre for Digital Music London United Kingdom Queen Mary University of London Big Data Science London United Kingdom
In this paper, we explore the intersection of technology and cultural preservation by developing a self-supervised learning framework for the classification of musical symbols in historical manuscripts. Optical Music ... 详细信息
来源: 评论
Classification of Brain Tumor images Optimizing the Convolutional neural Network EfficientNet  3rd
Classification of Brain Tumor Images Optimizing the Convolut...
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3rd International conference on machine learning, Cloud Computing and Intelligent Mining, MLCCIM 2024
作者: Wicker, Alberto Hanne, Thomas Dornberger, Rolf Medical Informatics University of Applied Sciences and Arts Northwestern Switzerland Muttenz Switzerland Institute for Information Systems University of Applied Sciences and Arts Northwestern Switzerland Olten Switzerland
This study investigates medical image classification employing Convolutional neural networks (CNNs), Support Vector machine (SVM) and Genetic Algorithm (GA) focusing on hyperparameter optimization for the task of Brai... 详细信息
来源: 评论
Workpiece Pose Classification Framework for Flexible Part Feeding Systems Using machine learning and Synthetic Datasets  10
Workpiece Pose Classification Framework for Flexible Part Fe...
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10th CIRP conference on Assembly Technology and Systems, CATS 2024
作者: Kolditz, Torge Müller, Pitt Raatz, Annika Institute of Assembly Technology Leibniz University Hannover An der Universität 2 Garbsen30823 Germany
In previous work, a concept for a novel flexible part feeding system based on aerodynamic feeding was presented. In contrast to conventional part feeding systems, such as vibratory bowl feeders, aerodynamic part feedi... 详细信息
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Augmented GAN: Advancing Generative Adversarial networks Through Enhanced Discriminator Training and Generator Stability
Augmented GAN: Advancing Generative Adversarial Networks Thr...
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2024 International conference on Signal processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024
作者: Prakash, Aman Varghese, Ryan Binu Tanwar, Lavi Delhi Technological University Department of Electronics and Communications Engineering India
General Adversarial networks (GANs) have emerged as a powerful framework for generating reliable and transformative synthetic data in areas such as image generation, image and text synthesis, and data augmentation. Th... 详细信息
来源: 评论
L-MFFN: Lightweight Multiscale Feature Fusion Network with Limited Samples for HSI Classification
L-MFFN: Lightweight Multiscale Feature Fusion Network with L...
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9th International conference on Signal and image processing (ICSIP)
作者: Ali, Aamir Mu, Caihong Wang, Yafeng Liu, Yi Xidian Univ Sch Artificial Intelligence Xian 710071 Peoples R China Xidian Univ Sch Elect Engn Xian 710071 Peoples R China
Hyperspectral image (HSI) classification is valuable in remote sensing due to its rich spectral and spatial information. In the last decade, deep learning methods, especially Convolutional neural networks (CNNs), have... 详细信息
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Second Order neural Network Optimization: Meta Analysis  3
Second Order Neural Network Optimization: Meta Analysis
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3rd International conference on image processing, Computer Vision and machine learning, ICICML 2024
作者: Challagundla, Jeshwanth Singh, Mantek Tiwari, Vivek Raina, Siddharth University of Texas at Arlington Arlington TX United States Liverpool John Moores University Liverpool United Kingdom Amazon CA United States Carnegie Mellon University Carnegie PA United States
Second-order optimization algorithms have garnered significant interest in deep learning due to their ability to leverage curvature information, leading to faster convergence and enhanced generalization compared to fi... 详细信息
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Comparison between machine learning Models and neural networks on Music Genre Classification  3
Comparison between Machine Learning Models and Neural Networ...
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3rd International conference on Computer Vision, image and Deep learning and International conference on Computer Engineering and applications, CVIDL and ICCEA 2022
作者: Ma, Zizhi Nankai University School of Software Engineering Tianjin China
In terms of music genre classification, neural networks and machine learning models have their respective advantages. This paper aims to compare the performance and feature extraction capability between neural network... 详细信息
来源: 评论