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Titlebook: Recent Trends in Image Processing and Pattern Recognition; 5th International Co KC Santosh,Ayush Goyal,Satish K Singh Conference proceeding

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發(fā)表于 2025-3-23 11:43:04 | 只看該作者
Federated Learning for?Lung Sound Analysisels with tiny datasets at different sites is still tough. Medical image analysis is crucial for the quick and precise detection of lung disease and helps clinicians treat patients effectively while averting more fatalities. This is why real-time medical data management is becoming essential in the h
12#
發(fā)表于 2025-3-23 16:05:39 | 只看該作者
Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thightness, and severe joint discomfort. Finally, RA affects function, impairment, and morbidity by damaging neighboring connective tissues like ligaments,?tendons, and cartilages. A range of techniques, comprising radiography, Computed Tomography (CT), ultrasonic, Magnetic resonance imaging (MRI), an
13#
發(fā)表于 2025-3-23 18:02:05 | 只看該作者
Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separatiooptimization of membrane-based devices is still an ongoing challenge for the researchers and direct fabrication and testing is the only option. The VIVID? GX is the commercially available flat Polysulfone (PS) Plasma Membrane having asymmetric microporous structure, and clear demarcation of the pore
14#
發(fā)表于 2025-3-24 00:15:27 | 只看該作者
An Extreme Learning Machine-Based AutoEncoder (ELM-AE) for Denoising Knee X-ray Images and Grading K bones, hinged on the Kellgren–Lawrence (KL) grading system. Computer-assisted diagnosis has been a prime field of research for the past few decades as it tends to provide highly accurate performance. In this work, we propose the Knee Osteoarthritis (KOA) classification problem to segregate the seve
15#
發(fā)表于 2025-3-24 04:10:24 | 只看該作者
Motor Imagery Classification Combining Riemannian Geometry and?Artificial Neural NetworksI based on the detection of motor imagery can be used for both communication and rehabilitation purposes?[.]. For transferring BCIs outside of the lab to clinical settings, it is necessary to have a high accuracy. The current state of the art techniques includes the use of distance based on the Riem
16#
發(fā)表于 2025-3-24 09:53:52 | 只看該作者
Autism Spectrum Disorder Detection Using Transfer Learning with?VGG 19, Inception V3 and?DenseNet 20situation. In fact, it has numerous groups of situations. Although it cannot be fully recovered, the right treatments and services can help a person’s symptoms and daily activities. Deep learning has achieved outstanding results in pattern recognition tasks in the current times. CNN-based methods ar
17#
發(fā)表于 2025-3-24 13:13:26 | 只看該作者
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發(fā)表于 2025-3-24 16:19:14 | 只看該作者
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發(fā)表于 2025-3-24 21:33:59 | 只看該作者
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發(fā)表于 2025-3-24 23:56:55 | 只看該作者
Conference proceedings 2023R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022..The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as
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