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When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
Constraining the actions of AI systems is one promising way to ensure that these systems behave in a way that is morally acceptable to humans. But...
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Sublinear Algorithms in T-Interval Dynamic Networks
We consider standard T - interval dynamic networks , under the synchronous timing model and the broadcast CONGEST model. In a T - interval dynamic network ,...
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Winning Region Determination and Optimal Cooperative Guidance Design in a Pursuer–Evader–Defender Game
In this paper, we study the pursuer–evader–defender game under the isotropic rocket model. The game involves three agents: the evader, the pursuer,...
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Decentralized traffic management of autonomous drones
Coordination of local and global aerial traffic has become a legal and technological bottleneck as the number of unmanned vehicles in the common...
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Certifying Accuracy, Privacy, and Robustness of ML-Based Malware Detection
Recent advances in artificial intelligence (AI) are radically changing how systems and applications are designed and developed. In this context, new...
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Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning
Peer incentivization (PI) is a recent approach where all agents learn to reward or penalize each other in a distributed fashion, which often leads to...
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Automated Detection of Infection in Diabetic Foot Ulcer Using Pre-trained Fast Convolutional Neural Network with U++net
A frequent consequence of diabetes and a significant contributor to morbidity and mortality is diabetic foot ulcer (DFU).Early detection and...
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An Efficient Approach to Reduce Energy Consumption in a Fog Computing Environment Using a Moth Flame Optimization Algorithm
After decades of growth in the computer computing field, cyber-physical systems (CPS), a combination of physical and tangible hardware and virtual...
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Analyzing Data Streams from Cyber-Physical-Systems: A Case Study
We show that conducting a process-mining-centric analysis concerning cyber-physical systems provides insights into usage behavior. To show that, we...
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Classification and Feature Selection of Alzheimer’s Disease for MRI Data Utilizing Convolutional Neural Network and Support Vector Machine
Alzheimer's disease (AD) is a neurological disease that affect numerous people. According to the literature, forecasting this type of disease can be...
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Designing an Intelligent Contract with Communications and Risk Data
Contract automation is a challenging topic within Artificial Intelligence and LegalTech. From digitised contracts via smart contracts, we are heading...
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An agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can...
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Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
As energy demand continues to grow, it is crucial to integrate advanced technologies into power grids for better reliability and efficiency. Digital...
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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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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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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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Navigating in a space of game views
Game-theoretic modeling entails selecting the particular elements of a complex strategic situation deemed most salient for strategic analysis....
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Augmenting Cervical Cancer Analysis with Deep Learning Classification and Topography Selection Using Artificial Bee Colony Optimization
According to the research and study, cervical cancer has risen to develop the fourth most communal malignancy to strike women. Five different forms...
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Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model
This research provides a time series forecasting model that is hybrid which combines Long Short-Term Memory (LSTM) and Autoregressive Integrated...
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Multimedia Educational System and its Improvement Using AI Model for a Higher Education Platform
In the world of technology today, the hardware, applications, and online computing service have transformed instructional approaches and classroom...
