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Hyper star structure fault tolerance of half hypercube
The reliability of interconnection networks ordinarily is measured by all kinds of connectivities. The qualitative and quantitative analysis relies...
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Generation and Countermeasures of adversarial examples on vision: a survey
Recent studies have found that deep learning models are vulnerable to adversarial examples, demonstrating that applying a certain imperceptible...
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From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
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Distributed source DOA estimation based on deep learning networks
With space electromagnetic environments becoming increasingly complex, the direction of arrival (DOA) estimation based on the point source model can...
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End-to-End No-wait Scheduling for Time-Triggered Streams in Mixed Wired-Wireless Networks
Proprietary communication technologies for time-critical communication in industrial environments are being gradually replaced by Time-sensitive...
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Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images
Designing a single domain generalization (DG) framework that generalizes from one source domain to arbitrary unseen domains is practical yet...
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Differences with high probability and impossible differentials for the KB-256 cipher
In this paper differences with probability 1 were found for 6 and 7 rounds of KB-256 block cipher. Also using Biham’s et al. shrinking technique we...
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An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
The objective of this paper is to address the localization problem using omnidirectional images captured by a catadioptric vision system mounted on...
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Centrality-based and similarity-based neighborhood extension in graph neural networks
In recent years, Graph Neural Networks (GNNs) have become a key technique to address various graph-based machine learning tasks. Most of existing...
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Deep learning for lungs cancer detection: a review
Although lung cancer has been recognized to be the deadliest type of cancer, a good prognosis and efficient treatment depend on early detection....
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DEKGCI: A double-ended recommendation model for integrating knowledge graph and user–item interaction graph
User–item bipartite graphs and knowledge graphs are frequently employed in recommender systems due to their ability to provide rich information for...
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Efficient MST-based clustering with leader node selection and outlier edge cutting
The clustering algorithm based on the minimum spanning tree (MST) can identify clusters of different shapes. However, the minimum spanning tree...
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Natural noise management in collaborative recommender systems over time-related information
Recommender systems are currently a suitable alternative for providing easy and appropriate access to information for users in today’s digital...
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CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media
Social media has effectively shortened the time for the distribution of information, which sometimes carry news when compared to traditional methods....
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Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military
The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates...
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Non-uniform magnetic fields for collective behavior of self-assembled magnetic pillars
Programmable and self-assembled magnetic pillars are essential to expanding the application domain of magnetic microparticle collectives. Typically,...
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Robust seamless GEO scanning control strategy for airborne electro-optical/infrared reconnaissance systems
Airborne electro-optical/infrared reconnaissance systems could scan a large area by using an array detector and stitching the image sequence to...
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Truncated loss-based Res2Net for non-Gaussian noise removal
Many current image denoising works focus on Gaussian noise removal. However, in many real-life applications, the noise in an image can follow...
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A fast verifiable fully homomorphic encryption technique for secret computation on cloud data
In the domain of cloud computing, safeguarding the confidentiality and integrity of outsourced sensitive data during computational processes is of...
