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Article
Open AccessBrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification
A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surge...
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Article
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare
With the rapid development of information technology, the conception of smart healthcare has progressively come to the fore. Smart healthcare utilizes next-generation technologies, such as artificial intellige...
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Article
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features
The number of deaths caused by melanoma has increased remarkably in the last few years which are the carcinogenic type of skin cancer. Lately, computer based methods are introduced which are intelligent enough...
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Article
BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification
The convolutional neural network showed considerable success in medical imaging with explainable AI for cancer detection and recognition. However, the irrelevant and large number of features increases the comp...
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Article
Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans
A correction to this paper has been published: https://doi.org/10.1007/s10044-021-00969-x
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Article
Open AccessA novel framework for rapid diagnosis of COVID-19 on computed tomography scans
Since the emergence of COVID-19, thousands of people undergo chest X-ray and computed tomography scan for its screening on everyday basis. This has increased the workload on radiologists, and a number of cases...
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Article
Open AccessA probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases
Agriculture plays a critical role in the economy of several countries, by providing the main sources of income, employment, and food to their rural population. However, in recent years, it has been observed th...
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Article
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Malignant melanoma, not belongs to a common type of skin cancers but most serious because of its growth—affecting large number of people worldwide. Recent studies proclaimed that risk factors can be substantia...
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Article
Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection
In agriculture farming business, plant diseases are one of the reasons for the financial deficits around the globe. It is the fundamental factor, as it causes significant abatement in both capacity and quality...
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Article
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection
In the agriculture farming business, weeds, pests, and other plant diseases are the major reason for monetary misfortunes around the globe. It is an imperative factor, as it causes a significant diminution in ...
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Article
Open AccessA multilevel features selection framework for skin lesion classification
Melanoma is considered to be one of the deadliest skin cancer types, whose occurring frequency elevated in the last few years; its earlier diagnosis, however, significantly increases the chances of patients’ s...
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Article
Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection
Human action recognition from a video sequence has received much attention lately in the field of computer vision due to its range of applications in surveillance, healthcare, smart homes, tele-immersion, to n...
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Article
An implementation of optimized framework for action classification using multilayers neural network on selected fused features
In video sequences, human action recognition is a challenging problem due to motion variation, in frame person difference, and setting of video recording in the field of computer vision. Since last few years, ...
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Article
Stomach Deformities Recognition Using Rank-Based Deep Features Selection
Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to identify patient’s deformity during the review time. Among set of clinical technologies, wireless capsule endoscopy...
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Article
Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection
Wireless capsule endoscopy (WCE) is a new imaging procedure that is used to record internal conditions of gastrointestinal tract for medical diagnosis. However, due to the presence of bulk of WCE image data, i...
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Article
Minimizing energy losses by introducing periodic pinning centers on superconducting films
We study vortex behavior in a set of samples of a rectangular array of antidots on a high-quality metallic superconducting Nb film. For this purpose, we measure magneto-resistance properties of some samples wi...
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Chapter
A Hybrid Approach for Image Segmentation in the IoT Era
Spectral clustering is a class of graph theoretic procedure, which is popular for finding natural grou**s. Over the last decade, it has become a widely adopted tool – utilized in solving image segmentation p...
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Article
Open AccessAn implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification
Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis. The accustomed diagno...
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Article
Artificial neural networks based dynamic priority arbitration for asynchronous flow control
Accesses to physical links in Networks-on-Chip need to be appropriately arbitrated to avoid collisions. In the case of asynchronous routers, this arbitration between various clients, carrying messages with dif...
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Article
Open AccessA dynamically reconfigurable logic cell: from artificial neural networks to quantum-dot cellular automata
Considering the lack of optimization support for Quantum-dot Cellular Automata, we propose a dynamically reconfigurable logic cell capable of implementing various logic operations by means of artificial neural...
