This work presents a modified hyperchaotic system based on two memristors with unique Lyapunov exponents, offering a unique method for image encryption. The main goals are to use dynamic analysis to evaluate the compl...
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This paper presents a novel approach to detecting equipment failures in modern power systems by leveraging machine learning techniques applied to thermography inspection data. Particularly segmentation and pixel proce...
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ISBN:
(纸本)9798350310665
This paper presents a novel approach to detecting equipment failures in modern power systems by leveraging machine learning techniques applied to thermography inspection data. Particularly segmentation and pixel processing to improve accurateness is highlighted in the methodology. The proposed method is capable of identifying early warning signs of equipment failure and predicting when the failure is likely to occur. The proposed approach demonstrates the potential for early detection of equipment failure in modern power systems with accurate clustering. The use of machine learning algorithms applied to thermography inspection data provides a reliable and effective way to identify and predict equipment failures, ultimately leading to improved system reliability and reduced maintenance costs.
It provides a classic method for blood image based system for blood group classification techniques. The suggested approach reduces reliance on traditional processes by automating the analysis of blood sample images t...
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ISBN:
(数字)9798331512088
ISBN:
(纸本)9798331512095
It provides a classic method for blood image based system for blood group classification techniques. The suggested approach reduces reliance on traditional processes by automating the analysis of blood sample images through the use of sophisticated imageprocessingalgorithms. This strategy seeks to offer a dependable and expandable solution that is especially useful for application in distant or resource-constrained environments.
In today's modern world, an intelligent system is the main requirement for current automation systems like money exchange machines, electronic banking, etc. Such automated currency recognition systems helps in red...
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Colon cancer is a matter of great importance in the field of global health, as it stands as one of the primary contributors to mortality rates associated with cancer. The timely identification and precise prognosticat...
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Digital image captioning field deals with the concept of interpreting a given image by the application of different Artificial Intelligence (AI) based algorithms. These kind of systems always considered the input in t...
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Insulator defects in power transmission systems pose significant risks to grid stability and safety. This paper presents an improved method for rapid diagnosis of insulator defects using infrared images, based on an e...
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Semantic image segmentation based on deep learning is gaining popularity because it is giving promising results in medical image analysis, automated land categorization, remote sensing, and other computer vision appli...
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This paper explores the utilization of MATLAB for digital signal processing (DSP) techniques in imageprocessing tasks, focusing on image deblurring, face detection, and facial feature enhancement. Blind deconvolution...
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ISBN:
(数字)9798350372106
ISBN:
(纸本)9798350372113
This paper explores the utilization of MATLAB for digital signal processing (DSP) techniques in imageprocessing tasks, focusing on image deblurring, face detection, and facial feature enhancement. Blind deconvolution methods are employed to address image blurriness, while face detection is facilitated using cascaded object detectors. Enhancements to detected facial features involve histogram equalization, smoothing filters, skin tone adjustment, and contrast enhancement techniques, followed by seamless integration using resizing methods. MATLAB serves as a robust platform for implementing and analyzing DSP algorithms, providing insights into practical solutions for common challenges in digital imageprocessing.
The Accelerated processing Units (APUs) are tightly integrated heterogeneous computing platforms that contain a CPU and GPU in a single integrated circuit. As their internal computing resources use the same memory (RA...
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