Cataracts are a prominent cause of blindness worldwide, yet only a small number of publications have reviewed the current state of AI research and development in this domain. Cataract surgery can be avoided in their e...
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作者：
Seitaj, OltianaMechanics
University of Roma Tre Department of Industrial Engineering Electronics Rome Italy
This paper evaluates the impact of hybrid deep learning approaches on lung tumor segmentation by combining traditional imageprocessing techniques with advanced AI-driven models. The study integrates Convolutional Neu...
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The Coati Optimization Algorithm (COA) is a promising metaheuristic inspired by coati hunting behaviors, demonstrating strong performance in complex optimization tasks. However, COA encounters challenges with converge...
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Coronavirus pandemic caused by a deadly virus that rapidly spread worldwide, necessitated the usage of face mask to minimize the airborne transmission of the virus. An automated face mask recognition system has made i...
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Real-time image restoration is a cutting-edge tech-nology that accelerates or rebuilds images as soon as they are captured, processed, or released to correct issues such as noise, blur, and compression. This field is ...
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With the popularization of the internet, people have paid more and more attention to imageprocessing, and deep learning has become a research hotspot. Analyzing images based on deep neural networks is a very valuable...
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The proceedings contain 8 papers. The topics discussed include: multi-scale hierarchical VQ-VAEs for blind image inpainting;intelligent monitoring of surface roughness and straightness with roundness on CNC turning ut...
ISBN:
(纸本)9798400716911
The proceedings contain 8 papers. The topics discussed include: multi-scale hierarchical VQ-VAEs for blind image inpainting;intelligent monitoring of surface roughness and straightness with roundness on CNC turning utilizing wavelet transform via neural networks;research on ECG signal denoising based on EM-UKF algorithm;an efficient framework to recognize deepfake faces using a light-weight CNN;implementation of ray tracing algorithms and their application to graphics rendering;a two-stage method with diffusion models for single-image view synthesis;enhanced potato detection using an improved YOLOv8 algorithm;and real-time cat breed identifier using OpenCV and YOLOv5.
Neural image compression employs deep neural networks and generative models to achieve impressive compression rates and reconstruction qualities compared to traditional signal-processing-based compression algorithms s...
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This research develops an algorithm for efficiently fusing multiple satellite images, addressing challenges like varying spatial resolutions, spectral bands, radiometric differences, and geometric distortions. Objecti...
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This paper presents a study on the multilayer bottleneck autoencoder applied for thumbnail color image compression task using quaternionic neural nets (QNN). Existing state-of-the-art real-valued autoencoder architect...
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