The coronary artery disease (CAD) is a cardiovascular ailment marked by the constriction or obstruction of the coronary arteries, hindering the circulation of blood to the heart muscle and potentially causing chest pa...
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Sparse Neural Networks (SNNs) have emerged as powerful tools for efficient feature selection. Leveraging the dynamic sparse training (DST) algorithms within SNNs has demonstrated promising feature selection capabiliti...
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A hypergraph is a type of graph, H=(V,E) where V is the set of nodes and E is the set of hyperedges;where one edge consists of may nodes. Morphological operators are nonlinear operators which can be applied on images...
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Power dissipation and energy consumption are key factors for the performance improvement of modern technology systems. In recent years, several strategies have been proposed to solve the power management issues on emb...
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In recent years, various aspects of the problem related to the generalization of the class of m-isometries of commuting tuples of operators in Hilbert spaces have appeared in the literature. Let us mention, for exampl...
In recent years, various aspects of the problem related to the generalization of the class of m-isometries of commuting tuples of operators in Hilbert spaces have appeared in the literature. Let us mention, for example, $(n_{1},\ldots ,n_{p})$ -quasi-m-isometric tuples, $(m,C)$ -isometric tuples, toral m-isometries, and toral $(m, A)$ -isometries. In this paper, we discuss a problem closely related to this one. We introduce the class of toral- $(m,C)$ -isometries for a tuple of commuting operators related to a given conjugation operator C on a Hilbert space H. We present its basic properties and demonstrate a variety of results that extend some works related to multivariable operators.
As a branch of digital investigation network foren-sics is faced with different arising challenges due to the evolution of modern networks. These networks are getting faster, more dynamic and self-provisioned, which h...
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ISBN:
(数字)9798350375367
ISBN:
(纸本)9798350375374
As a branch of digital investigation network foren-sics is faced with different arising challenges due to the evolution of modern networks. These networks are getting faster, more dynamic and self-provisioned, which hampers the identification of potential data origins or data sinks. Aspects like encryption and network implementations like virtual private networks hamper the analysis of the traffic. Arising technologies like automotive IT, (I)IoT or edge and fog computing create new paradigms in communication. So, the different challenges affect all parts of capturing, recording and analyzing of the network traffic. This paper analyzes the above situation from a forensics perspective, derives relevant challenges of network forensic investigation in modern networks and provides an overview of the current research to overcome these.
Rarity meters are incorporated by industry and discursive by academia. Rarity, as an intuitive term, attracted numerous researchers to present their own view of it. While there is existing literature on comparing rari...
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The early detection of skin cancer,particularly melanoma,presents a substantial risk to human *** study aims to examine the necessity of implementing efficient early detection systems through the utilization of deep l...
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The early detection of skin cancer,particularly melanoma,presents a substantial risk to human *** study aims to examine the necessity of implementing efficient early detection systems through the utilization of deep learning ***,the existing methods exhibit certain constraints in terms of accessibility,diagnostic precision,data availability,and *** address these obstacles,we put out a lightweight model known as Smart MobiNet,which is derived from MobileNet and incorporates additional distinctive *** model utilizes a multi-scale feature extraction methodology by using various convolutional *** ISIC 2019 dataset,sourced from the International Skin Imaging Collaboration,is employed in this *** data augmentation approaches are implemented to address the issue of model *** this study,we conduct experiments to evaluate and compare the performance of three different models,namely CNN,MobileNet,and Smart MobiNet,in the task of skin cancer *** findings of our study indicate that the proposed model outperforms other architectures,achieving an accuracy of ***,the model exhibits balanced precision,sensitivity,and F1 scores,all measuring at *** model serves as a vital instrument that assists clinicians efficiently and precisely detecting skin cancer.
The Information Retrieval System Evaluation have carried out through Cranfield-paradigm in which the test collections provide the foundation of the evaluation process. The test collections consist of document corpus, ...
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Recently, synthetic prosthesis built from metals and plastic components are often used to mitigate pain and restore functions of injured human shoulders. The procedure involves the replacement of the affected shoulder...
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