The rating & review of an app in the App Store or Play Store plays an essential role for end users to get information about the app based on other people's experiences with that app. The reviews might be conte...
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Grafana is a powerful and widely adopted open-source tool designed for real-time monitoring and visualization purposes. Its extensive features and functionalities empower organizations to create interactive and custom...
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A key a part of early analysis and treatment of neurological illnesses is the detection of anomalies inside the mind through ultrasound scans. Using a Signal Processing Network (SPN), this studies seems into the cost ...
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Fake news is a harmful fortification that can target the well beingness of individuals as well as organizations and make a spur about every misinformation. Fake news-based research grows in terms of contributions that...
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This paper proposes a reverse auction and blockchain-based electric vehicles (EVs) energy trading (ET) approach by adopting the smart grid. EVs can be classified into prosumer or consumer during the ET in the proposed...
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With a smartphone app or web interface, users with different demographic profiles may book and pay for parking spaces, cutting down on the time and stress involved in locating a place. Hence, such parking systems shou...
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Breast cancer is a devastating disease that affects women worldwide, and computer-aided algorithms have shown potential in automating cancer diagnosis. Recently Generative Artificial Intelligence (GenAI) opens new pos...
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Breast cancer is a devastating disease that affects women worldwide, and computer-aided algorithms have shown potential in automating cancer diagnosis. Recently Generative Artificial Intelligence (GenAI) opens new possibilities for addressing the challenges of labeled data scarcity and accurate prediction in critical applications. However, a lack of diversity, as well as unrealistic and unreliable data, have a detrimental impact on performance. Therefore, this study proposes an augmentation scheme to address the scarcity of labeled data and data imbalance in medical datasets. This approach integrates the concepts of the Gaussian-Laplacian pyramid and pyramid blending with similarity measures. In order to maintain the structural properties of images and capture inter-variability of patient images of the same category similarity-metric-based intermixing has been introduced. It helps to maintain the overall quality and integrity of the dataset. Subsequently, deep learning approach with significant modification, that leverages transfer learning through the usage of concatenated pre-trained models is applied to classify breast cancer histopathological images. The effectiveness of the proposal, including the impact of data augmentation, is demonstrated through a detailed analysis of three different medical datasets, showing significant performance improvement over baseline models. The proposal has the potential to contribute to the development of more accurate and reliable approach for breast cancer diagnosis. IEEE
Rainfall forecasting plays a critical role in various aspects of human life such as in water management, disaster preparedness, and disaster management. Its impact on agriculture can be well understood by the fact tha...
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We live in a world where personal safety is a fundamental concern. With an ever-increasing spurge in crime against women, the existing safety measures fall short of mitigating the violence faced on a daily basis. Ther...
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Exploratory data analysis is the need to analyze data in depth. It comprises of basic methods like spot anomalies, stemming, hypothesis testing, check assumptions and visualize data. The sentiment analysis is a main f...
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