Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito

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https://doi.org/10.1007/978-3-319-11245-9 lower extremities resulting from venous hypertension. Loss of mobility caused by CVI can have a devastating impact on both quality of life and productivity. Early and precise diagnosis is critically important for preventing the progression of this disease. Recently, computer-assisted diagnosis (CAD

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Towards User-Friendly Projectional Editors,rs. However, the classification of brain tumors using MRI images is getting more challenging due to the large amount of data and the presence of noise and other objects. Feature extraction is an extremely important step in the brain tumor classification process as it determines the quality of featur

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Einar W. Høst,Bjarte M. Østvoldulation of time domain specifications, viz, rising time, settling time, peak time, and peak overshoot etc. for an underdamped system differs from an overdamped system. While MATLAB‘s . function is a widely used tool for this purpose, its default formulation caters predominantly to underdamped scenar

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Lecture Notes in Computer Sciencen the number of vehicles on the road, accurate and efficient speed sign identification systems are in high demand. This research presents a comprehensive ResNet model based on transfer learning for recognizing and classifying speed limit traffic signs with multilingual audio alerts. In India, the ne

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A Primer on Operational Semantics,ection rely on a single modality (image), resulting in suboptimal predictions. Fusing image data with relevant clinical data enhances the prediction accuracy. Among the existing fusion techniques viz. early, late, and joint fusion, early fusion is a simple strategy wherein the intermodality correlat

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Elaine Khoo,Craig Hight,Bronwen Cowieormation. Dimensionality reduction has a great impact on the learning accuracy and the computational complexity of techniques for deep learning and machine learning. Most feature selection techniques focused on removing irrelevant and redundant features only and ignored multi-correlation factors suc

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Communication and Intelligent Systems978-981-97-2082-8Series ISSN 2367-3370 Series E-ISSN 2367-3389