Epilepsy is considered as a serious brain disorder in which patients frequently experience *** seizures are defined as the unexpected electrical changes in brain neural activity,which leads to *** researches made an i...
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Epilepsy is considered as a serious brain disorder in which patients frequently experience *** seizures are defined as the unexpected electrical changes in brain neural activity,which leads to *** researches made an intense effort for predicting the epileptic seizures using brain signal ***,they faced difficulty in obtaining the patients'characteristics because the model's distribution turned to fake predictions,affecting the model's *** addition,the existing prediction models have severe issues,such as overfitting and false positive *** overcome these existing issues,we propose a deep learning approach known as Deep dual‐patch attention mechanism(D^(2)PAM)for classifying the pre‐ictal signals of people with Epilepsy based on the brain *** neural network is integrated with D^(2)PAM,and it lowers the effect of differences between patients to predict *** multi‐network design enhances the trained model's generalisability and stability ***,the proposed model for processing the brain signal is designed to transform the signals into data blocks,which is appropriate for pre‐ictal *** earlier warning of epilepsy with the proposed model obtains the auxiliary *** data of real patients for the experiments provides the improved accuracy by D2PAM approximation compared to the existing *** be more distinctive,the authors have analysed the performance of their work with five patients,and the accuracy comes out to be 95%,97%,99%,99%,and 99%***,the numerical results unveil that the proposed work outperforms the existing models.
The objective of this study is to develop a detailed method for applying deep learning techniques to the early diagnosis of brain tumors. It is imperative that brain tumor is diagnosed as early as possible to ensure t...
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As Autonomous Vehicles (AVs) become increasingly prevalent, there is a growing need for secure and efficient data transfer between vehicles and other stakeholders in the transportation ecosystem. Blockchain technology...
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Effective network communication is essential in the current digital era, and cloud computing (CC) and the Internet of Things (IoT) are significant aspects of daily life. Accelerating and lowering the latency of data t...
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A XGBoost-Based System in Cervical type cancer Diagnostics are proposed in the current research work. Generally Cervical type of cancer will be a significant health concern worldwide, particularly in the regions with ...
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Heart disease is a clinical illness that is caused by structural and functional tissue dysfunction. According to the arena health company (WHO), heart disease is the leading cause of death worldwide, with a recent stu...
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Human Beings have the natural ability to recognize body and sign language easily. This is possible because of vision and synaptic interactions formed during brain development. Humans also can pick up contextual inform...
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Cancer disorders are caused when certain body cells enlarge uncontrollably and spread throughout the body. Lung cancerous lesion tumors can be detected by radiologists with the help of medical imaging techniques like ...
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A cutting-edge online marketplace that uses blockchain technology to transform how we purchase and sell goods and services is known as a blockchain- powered e-commerce platform. This platform uses a decentralized netw...
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The development of the Internet paved the way for the commercial exchange of data-extensive messages in the form of E-Mails. But, a big issue is spam E-Mails which are unwanted and incessant emails that the user may o...
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