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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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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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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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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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Deep choroid layer segmentation using hybrid features extraction from OCT images
The choroid layer, situated between the retina and sclera, is a tissue layer that contains blood vessels. Optical coherence tomography (OCT) is a...
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A quantitative analysis of imaging features in lung CT images using the RW-T hybrid segmentation model
Lung cancer is the leading cause of cancer death worldwide. A lung nodule is the most common symptom of lung cancer. The analysis of lung cancer...
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Deep Learning Algorithms for Speech Emotion Recognition with Hybrid Spectral Features
One of the popular research domains in Automatic Speech Recognition (ASR) is to identify emotions from the utterances of speech samples of human...
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Diagnosis of anomalies based on hybrid features extraction in thyroid images
Diagnosing benign and malignant glands in thyroid ultrasound images is considered a challenging issue. Recently, deep learning techniques have...
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HDL-PI: hybrid DeepLearning technique for person identification using multimodal finger print, iris and face biometric features
Due of its uniqueness, biometric technologies are employed for security and access control in today’s digital world. Global demand for biometric...
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Detection of skin cancer through hybrid color features and soft voting ensemble classifier
Recent diagnostic observations have raised concerns regarding malignancy issues in untreated skin cancer. Over the last two decades, dermoscopy has...
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A hybrid SWT-SVD based multiresolution features for robust image copy-move forgery detection
The copy-move forgery technique is the most commonly exercised among different image tampering techniques. In this approach, some part of an image is...
