Nowadays, mental-insulator-metal (MIM) waveguides are widely used in the design of optical plasmonic waveguides due to their superior ability to confine surface plasmons up to sub wavelength scale. This research propo...
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The Segmentation of liver from computed tomography (CT) images is a critical task in medical research particularly when employing deep learning methods. Most doctors prefer to use Computed tomography images for liver ...
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The categorization of brain tumors is a significant issue for healthcare *** and timely identification of brain tumors is important for employing an effective treatment of this *** tumors possess high changes in terms...
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The categorization of brain tumors is a significant issue for healthcare *** and timely identification of brain tumors is important for employing an effective treatment of this *** tumors possess high changes in terms of size,shape,and amount,and hence the classification process acts as a more difficult research *** paper suggests a deep learning model using the magnetic resonance imaging technique that overcomes the limitations associated with the existing classification *** effectiveness of the suggested method depends on the coyote optimization algorithm,also known as the LOBO algorithm,which optimizes the weights of the deep-convolutional neural network *** accuracy,sensitivity,and specificity indices,which are obtained to be 92.40%,94.15%,and 91.92%,respectively,are used to validate the effectiveness of the suggested *** result suggests that the suggested strategy is superior for effectively classifying brain tumors.
People’s demand for vehicles has been increasing day by day over the last few decades. A survey tells us that over 50,000 vehicles run on the roads per day. Such a large number of vehicles causes traffic. A survey te...
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In today's rapidly evolving network landscape, cybersecurity has become increasingly crucial. However, wireless sensor networks face unique challenges due to their limited resources and diverse composition, high c...
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In contemporary society, effective communication remains a cornerstone of human interaction. However, bridging the communication gap presents significant challenges for individuals who are mute or unable to communicat...
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Despite multiple efforts, cardiovascular diseases (CVDs) still top the list of leading causes of mortality worldwide and require early and personalised risk prediction strategies. Current ECG based risk assessment mod...
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Design and analysis of a slotted planar antenna with a parasitic ring patch for efficient 5G microwave applications is presented. The antenna design aims to strike a balance between complexity and size efficiency. Its...
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This research presents a data-driven approach for providing personalized travel and stay recommendations by integrating social media data., machine learning models., and time-series analysis. Data is collected from so...
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This project proposal addresses the critical need for precise measurement of thin dielectric coatings, which are essential in industries such as aviation, aerospace, and automotive for enhancing structural integrity a...
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