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Real-time scheduling for parallel tasks with resource reclamation
This paper considers the real-time scheduling of a parallel task with reclaiming computing resources, which can be utilized for soft real-time tasks...
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Tighter Security for Schnorr Identification and Signatures: A High-Moment Forking Lemma for \(\varvec{\Sigma }\)-Protocols
The Schnorr identification and signature schemes have been among the most influential cryptographic protocols of the past 3 decades. Unfortunately,...
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A systematic review on research utilising artificial intelligence for open source intelligence (OSINT) applications
This paper presents a systematic review to identify research combining artificial intelligence (AI) algorithms with Open source intelligence (OSINT)...
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PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles
Over two-thirds of the U.S. population uses YouTube, and a quarter of U.S. adults regularly receive their news from it. Despite the massive political...
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Efficient Scheduling of Charger-UAV in Wireless Rechargeable Sensor Networks: Social Group Optimization Based Approach
Wireless power transfer (WPT) technology enables the replenishment of rechargeable battery energy by the sensor nodes (SNs) in wireless rechargeable...
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An efficient hardware accelerator for NTT-based polynomial multiplication using FPGA
The number theoretic transform (NTT) is used to efficiently execute polynomial multiplication. It has become an important part of lattice-based...
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EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications
In the fog computing-based Internet of Things (IoT) architecture, the sensor devices represent the basic elements needed to sense the surrounding...
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Trusted 3D self-supervised representation learning with cross-modal settings
Cross-modal setting employing 2D images and 3D point clouds in self-supervised representation learning is proven to be an effective way to enhance...
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Asymmetric time-varying integral barrier Lyapunov function based adaptive optimal control for nonlinear systems with dynamic state constraints
This paper investigates the issue of adaptive optimal tracking control for nonlinear systems with dynamic state constraints. An asymmetric...
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Transformer in reinforcement learning for decision-making: a survey
Reinforcement learning (RL) has become a dominant decision-making paradigm and has achieved notable success in many real-world applications. Notably,...
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PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations
Epigenetics’ flexibility in terms of finer manipulation of genes renders unprecedented levels of refined and diverse evolutionary mechanisms...
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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without any swarm mission, because it models the behavior priority...
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Enhancing action discrimination via category-specific frame clustering for weakly-supervised temporal action localization
Temporal action localization (TAL) is a task of detecting the start and end timestamps of action instances and classifying them in an untrimmed...
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A multi-agent collaboration scheme for energy-efficient task scheduling in a 3D UAV-MEC space
Multi-access edge computing (MEC) presents computing services at the edge of networks to address the enormous processing requirements of intelligent...
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Mcti: mixed-criticality task-based isolation
The ever-increasing demand for high performance in the time-critical, low-power embedded domain drives the adoption of powerful but unpredictable,...
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Separation identification of a neural fuzzy Wiener–Hammerstein system using hybrid signals
A novel separation identification strategy for the neural fuzzy Wiener–Hammerstein system using hybrid signals is developed in this study. The...
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Deep multimodal-based finger spelling recognition for Thai sign language: a new benchmark and model composition
Video-based sign language recognition is vital for improving communication for the deaf and hard of hearing. Creating and maintaining quality of Thai...
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Energy-Aware Microservice-Based Application Deployment in UAV-Based Networks for Rural Scenarios
Yearly, the rates of Internet penetration are on the rise, surpassing 80% in developed nations. Despite this progress, over two billion individuals...