The proliferation of Internet of Things (IoT) devices has increased the risk of botnet attacks, posing a serious threat to network security. This paper presents a novel edge-based machine-learning framework aimed at d...
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Emotion detection and classification are becoming new frontiers in the capability of brain machine interface in the present times. Several studies have demonstrated that audio, video, as well as EEG data are helpful i...
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This proposed project develops a reliable technique for measuring the human body accurately using computer vision and machine learning. Beginning with a heterogeneous dataset, state-of-the-art methods are employed to ...
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Epilepsy, a severe and chronic neurological condition, is detectable through the analysis of brain signals, typically monitored using Electroencephalogram (EEG) and Electrocardiography (ECG). Despite the complexity an...
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Feature extraction is the most critical step in classification of multispectral *** classification accuracy is mainly influenced by the feature sets that are selected to classify the *** the past,handcrafted feature s...
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Feature extraction is the most critical step in classification of multispectral *** classification accuracy is mainly influenced by the feature sets that are selected to classify the *** the past,handcrafted feature sets are used which are not adaptive for different image *** overcome this,an evolu-tionary learning method is developed to automatically learn the spatial-spectral features for classification.A modified Firefly Algorithm(FA)which achieves maximum classification accuracy with reduced size of feature set is proposed to gain the interest of feature selection for this *** extracting the most effi-cient features from the data set,we have used 3-D discrete wavelet transform which decompose the multispectral image in all three *** selecting spatial and spectral features we have studied three different approaches namely overlapping window(OW-3DFS),non-overlapping window(NW-3DFS)adaptive window cube(AW-3DFS)and Pixel based *** Multiclass Support Vector Machine(MSVM)is used for classification *** con-ducted on Madurai LISS IV multispectral image exploited that the adaptive win-dow approach is used to increase the classification accuracy.
Social media platforms like Instagram, Twitter, and Facebook have completely changed our world. People today exhibit a kind of digital character and are more linked than ever. While social media undoubtedly offers man...
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The Unified Payment Interface (UPI) has revolutionized digital payments in India, providing a convenient and secure way for individuals to transfer funds. However, the increasing popularity of UPI has also attracted m...
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This research introduces a novel mobile application that employs augmented reality (AR) to enhance user engagement with weather information. By integrating Unreal Engine for advanced 3D visualization and React Native ...
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The latest advancements in Deep Learning (DL) techniques have led to a high level of curiosity in the integration ofvoice technology with intelligent search engines. This research project intends to improve users'...
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Internet of Things (IoT) has radically improved and modernized in every aspect of human existence. The term IoT is a recent trend that states the development a self-configurable network by connecting a variety of hard...
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