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Plant Disease Classification Using Hybrid Features
Deep learning has shown remarkable performances in image classification, including those of plants and leaves. However, high-performing networks in...
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Detection of brain tumour in multi-modality images using hybrid features
Brain is recognized as a focal part of nervous system and it is inflated by tumour. Therefore the lifespan among humans gets diminished. The anatomy...
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Multimodal hybrid features in 3D ear recognition
Despite being the most rapidly evolving biometric trait, the ear suffers from a few drawbacks, such as being affected by posture, illumination, and...
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Improved hybrid text summarization system using deep contextualized embeddings and statistical features
In this digital world where an enormous volume of textual material is growing on the internet every single day, there is a great need for systems...
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A hybrid attention model based on first-order statistical features for smoke recognition
Smoke and fire recognition are of great importance on foreseeing fire disasters and preventing environmental pollution by monitoring the burning...
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Hybrid3D: learning 3D hybrid features with point clouds and multi-view images for point cloud registration
In recent years, point cloud registration has achieved great success by learning geometric features with deep learning techniques. However, existing...
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Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction
The previous couple decades have seen extensive study in digital image recovery. Content-based image retrieval finds intellectually and aesthetically...
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Automatic Multi-class Sleep Staging Method Based on Novel Hybrid Features
To address the problems of various sleep staging criteria and poor accuracy of sleep staging, we proposed an effective method with novel hybrid...
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Enhancing ASD classification through hybrid attention-based learning of facial features
Autism spectrum disorder (ASD) is a multifaceted neurological developmental condition that manifests in diverse ways. It addresses the need for early...
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Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
The use of a convolutional neural network with transfer learning is a strategy that defines high-level features, commonly explored to study patterns...
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Analysing texture, color and spatial features for face spoof detection with hybrid classification model
Facial biometrics are more natural, innate, and less invasive to humans. It is frequently used in the authentication of approved users and employees...
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Content-based medical image retrieval using fractional Hartley transform with hybrid features
Content-Based Medical Image Retrieval is used to extract meaningful information from a large number of medical images. To extract image texture...
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Multi-channel CNN to classify Nepali COVID-19 related tweets using hybrid features
Because of the current COVID-19 pandemic’s increasing fears among people, it has triggered several health complications such as depression and...
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Peristaltic transport of magnetized Williamson hybrid nanofluid in a complex wavy channel with various shape features
The recent research in hybrid nanomaterials brings multidisciplinary applications in enhancing the heat transfer phenomenon, engineering...
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A hybrid ResNet-ViT approach to bridge the global and local features for myocardial infarction detection
Myocardial infarction (MI) remains a significant contributor to global mortality and morbidity, necessitating accurate and timely diagnosis. Current...
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A novel exploratory hybrid deep neural network to predict breast cancer for mammography based on wavelet features
A drastic rise in the incidence of breast cancer in patients is witnessed as per the new roadmap launched by the World Health Organization in 2023....
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Diagnosis of breast cancer based on hybrid features extraction in dynamic contrast enhanced magnetic resonance imaging
Breast cancer develops in breast cells. It is the most common type of cancer in women and the second most lethal disease after lung cancer. The...
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Palmprint recognition system based on deep region of interest features with the aid of hybrid approach
Palmprint recognition system is a biometric technology, which is promising to have a high precision. This system has started to attract the attention...
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An Effective Hybrid Framework Based on Combination of Color and Texture Features for Content-Based Image Retrieval
In Content-Based Image Retrieval (CBIR) system image representation is a vital function. In the CBIR method, shape, texture, and color features are...
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Nonlinear Features and Hybrid Optimization Algorithm for Automated Electroencephalogram Signal Analysis
In this study a hybrid approach for EEG data classification for detecting epileptic seizures was proposed. The proposed hybrid model combines Extreme...