The growing risk of cyber-attacks and information vulnerability has become a major problem in today's dynamic digital environment. The necessity for strong security solutions is more critical than ever due to the ...
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We report a compact modeling framework based on the Grove-Frohman (GF) model and artificial neural networks (ANNs) for emerging gate-all-around (GAA) MOSFETs. The framework consists of two ANNs;the first ANN construct...
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This paper presents a deep learning framework for the estimation of land vehicle ego-velocity using Frequency Modulated Continuous Wave (FMCW) automotive radars, addressing the challenges of data sparsity and noise wi...
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Network slicing is a key feature of 5G that allows for the creation and running of multiple virtual networks, known as 'slices,' on shared infrastructure. These slices can be customized for specific applicatio...
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VCO-based ADCs widely utilize coarse-fine readout to save power and hardware compared to counter-only converters. However, the timing mismatch due to the clock skew between the coarse and fine quantizers can lead to s...
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Education is a crucial factor in economic and social progress are interdependent and crucial for societal development. In the present-day society, students are increasingly technologically savvy, and learning and teac...
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Diabetic retinopathy is the problem of diabetes that affects the eyes. It is caused when one of the parts of an eye called retina or say the blood vessels in the tissue at the back of the eye is damaged. The persons w...
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ISBN:
(纸本)9798350335095
Diabetic retinopathy is the problem of diabetes that affects the eyes. It is caused when one of the parts of an eye called retina or say the blood vessels in the tissue at the back of the eye is damaged. The persons who had diabetes for more than 10 years are affected the most. It is observed that it is most common in the people of 70-79 years of age group. Early symptoms of diabetic retinopathy are found to be the blurriness, difficulties in perceiving colours and dark areas of vision. Chronic retinopathy can also cause *** this disease shows very few symptoms, as a result the treatment is not given on time. Due to which, many people are being affected by this. The doctor who manually detects this disease is called ophthalmologists. The process of detecting diabetic retinopathy from the retinal images manually is a time-consuming process and also the diagnosis depends upon the expertise of the *** this study, the authors collected two datasets for diabetic retinopathy, consisting of retinal images categorized into five groups. In the first dataset, the authors computed handcrafted HOG features and utilized the Support Vector Machine (SVM) algorithm for classification. They achieved an accuracy of 71.9% using this approach. In the second dataset, the authors employed a deep Convolutional Neural Network (CNN)-based framework to detect diabetic retinopathy and determine its severity level from retinal images. Early detection of the disease can lead to better disease management, and medical intervention can slow down disease progression. The proposed framework offers an easy method for *** paper utilized two datasets. In the first dataset, a machine learning algorithm was employed, achieving an accuracy of 71.9%. In the second dataset, three state-of-the-art transfer learning methods were employed. It was discovered that deep learning models outperformed the machine learning model. Among the deep learning models, the InceptionResNetV2 model e
It is envisioned that the upcoming power grid will be dominated by grid-forming inverters (GFMIs) for high penetration of renewable energy resources. This paper introduces a decentralized control strategy, leveraging ...
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This paper proposes a self adaptive physics informed neural network (SAPINN) model to predict the degree of polymerization (DP) of oil-impregnated paper insulation to quantify the level of degradation and the remainin...
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作者：
Singh, AmitSindhu Madhuri, G.Teerthanker Mahaveer University
College of Computing Science & It Department of Computing Science & It Moradabad India
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
On current days, the growing applications in Internet of Things (IoT) is increasing in various real-time sectors as smart city applications (air pollution, atmospheric noise canceling and traffic flow management). Now...
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