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Article
CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function
Accurate skin disease detection is one of the most challenging tasks due to high-class imbalance and limited labeled datasets. Recently Deep Convolutional Neural Network (DCNN) with ensemble learning has achie...
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Article
Synergistic spectral and spatial feature analysis with transformer and convolution networks for hyperspectral image classification
Hyperspectral imaging (HSI) contains several land cover objects with rich spatial and spectral features. By utilizing these features, deep convolution neural networks (CNN) improved HSI classification accuracy...
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Article
Open AccessMorphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to blood cancer, many people die every year. Hence, the early detection of these blast cells is necessary for avoiding blood...
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Article
Suspect face retrieval system using multicriteria decision process and deep learning
The identification and apprehending of suspects by law enforcement authorities rely heavily on facial sketches. The sketch artist creates sketches based on the witnesses’ memories. Sketch artists are few and l...
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Article
COVID-19 radiograph prognosis using a deep CResNeXt network
COVID-19 has caused an epidemic in the entire world and it is caused by the novel virus SARS-COV-2. In severe conditions, this virus can cause a critical lung infection or viral pneumonia. To administer the co...
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Article
Automatic early detection of rice leaf diseases using hybrid deep learning and machine learning methods
Plant leaf disease detection is critical for long-term agricultural viability. Numerous Artificial Intelligence (AI) and Machine Learning (ML) technologies have been implemented for detecting rice diseases. Ho...
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Article
Suspect face retrieval using visual and linguistic information
Faces are the most common biometric used for the identification of a person. Law enforcement agencies use face as a key point to identify the suspect involved in unlawful activities. Forensic sketches are norm...
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Article
Open AccessComparative assessment of artificial intelligence (AI)-based algorithms for detection of harmful bloom-forming algae: an eco-environmental approach toward sustainability
Organic effluent enrichment in water may selectively promote algal growth, resulting in water pollution and posing a threat to the aquatic ecosystem. Recent harmful algal blooms (HABs) incidents have highlight...
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Chapter and Conference Paper
Convolutional Neural Networks-Based VQA Model
In visual question answering (VQA) task, we generally use a convolutional neural network (CNN) to extract image features, a recurrent neural network (RNN) for question representation. Instead of using a RNN fo...
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Chapter and Conference Paper
Skin Lesion Analysis and Classification Techniques
Skin lesion diagnosis using computer-aided systems is a growing field of research. In recent years, researchers have been develo** computer-aided diagnosis systems. An analysis of the efficiency of computer-...
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Article
A Comprehensive Review on Analysis and Implementation of Recent Image Dehazing Methods
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke, etc.) and wet particles (w...
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Article
Image captioning improved visual question answering
Both Visual Question Answering (VQA) and image captioning are the problems which involve Computer Vision (CV) and Natural Language Processing (NLP) domains. In general, computer vision models are effectively u...
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Article
A robust approach based on local feature extraction for age invariant face recognition
Age variation is a major problem in the area of face recognition under uncontrolled environment such as pose, illumination, expression. Most of the works of this area are based on discriminative methods. The m...
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Article
Human burn depth and grafting prognosis using ResNeXt topology based deep learning network
The human burn diagnosis is becoming essential. Early diagnosis of a burn can save human life. Therefore, it is essential to develop a fast, robust, and efficient computer-based system for the diagnosis of bur...
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Article
Improving visual question answering by combining scene-text information
The text present in natural scenes contains semantic information about its surrounding environment. For example, the majority of questions asked by blind people related to images around them require understand...
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Article
Traditional to transfer learning progression on scene text detection and recognition: a survey
Many computer vision-based techniques utilize semantic information i.e. scene text present in a natural scene for image analysis. Subsequently, in recent times researchers pay more attention to key tasks such ...
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Article
Distortion-free image dehazing by superpixels and ensemble neural network
Single image dehazing is a technique used to remove the effect of haze from an image captured in poor weather conditions. Due to the scattering of particles, a captured image suffers from low visibility and co...
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Article
An Improved Attention and Hybrid Optimization Technique for Visual Question Answering
In Visual Question Answering (VQA), an attention mechanism has a critical role in specifying the different objects present in an image or tells the machine where to focus by invoking the vivid visuals in an im...
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Chapter and Conference Paper
Comparison of Visual Question Answering Datasets for Improving Their Reading Capabilities
Answering a question related to a given image is called as visual question answering (VQA).The state-of-the-art VQA models require a convolutional neural network (CNN) for image feature extraction and a family...
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Chapter and Conference Paper
FFV: Facial Feature Vector Image Dataset with Facial Feature Analysis and Feature Ranking
Thousands of faces can be remembered by a single individual. Faces with diverse shapes, sizes, and colors might be recalled. People are distinguished from one another by their face form and color, which makes ...
