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Domain independent heuristics for online stochastic contingent planning
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions....
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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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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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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...
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Intentionality gap and preter-intentionality in generative artificial intelligence
The emergence of generative artificial intelligence, such as large language models and text-to-image models, has had a profound impact on society....
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Analysis of blockchain system based on \(BMAP/PH^{[b]}/1\) queueing model
In this modern era, the security and safety of financial and personal digital data are crucial considerations. Blockchain technology offers a secure...
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Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions...
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A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks
Crowdsourcing is a powerful technique for accomplishing tasks that are difficult for machines but easy for humans. However, ensuring the quality of...
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Subgraph matching-based reference placement for printed circuit board designs
Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of...
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Virtualism: how AI replaces reality
This paper traces the shift from the age of realism to the age of virtualism we are currently witnessing. To do so, I draw on older theories...
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Temporal patterns decomposition and Legendre projection for long-term time series forecasting
Long-term time series forecasting (LTSF) means utilizing historical data to forecast future sequences that are relatively distant in time, providing...
