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Run for Cover: Dominating Set via Mobile Agents
Research involving computing with mobile agents is a fast-growing field, given the advancement of technology in automated systems, e.g., robots,...
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Moving-Target Enclosing Control for Multiple Nonholonomic Mobile Agents Under Input Disturbances
This paper investigates a moving-target enclosing control problem of multiple nonholonomic mobile agents subject to unknown heterogeneous input...
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Brief Announcement: Crash-Tolerant Exploration by Energy Sharing Mobile Agents
This paper examines the exploration of a weighted graph by two mobile agents, where the energy cost of traversing an edge is equal to the edge...
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Euler totient function and fermat Euler theorem based an optimized key management scheme for securing mobile agents migration
As the mobile agents move automatically on distributed networks, the security of agents and platforms is of prime concern. Over the year’s mobile...
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Planning the Collective Activities of Autonomous Mobile Intelligent Agents under Uncertainty
Abstract—This study considers the main organizational features of problem solvers for autonomous mobile intelligent agents intended for various...
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A security framework for mobile agent systems
Security is a very important challenge in mobile agent systems due to the strong dependence of agents on the platform and vice versa. According to...
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Distributed Multi-Agent Hierarchy Construction for Dynamic DCOPs in Mobile Sensor Teams
Coordinating multiple agents to optimize an objective has several real-world applications. In areas such as disaster rescue, environment monitoring...
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Empowering smart city situational awareness via big mobile data
Smart city situational awareness has recently emerged as a hot topic in research societies, industries, and governments because of its potential to...
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Framework for Agent-Based Multistage Application Partitioning Algorithm in Mobile Cloud Computing
The idea of computational offloading is quickly catching on in the world of mobile cloud computing (MCC). Today’s applications have heavy demands on...
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MADDPG-based joint optimization of task partitioning and computation resource allocation in mobile edge computing
The continual development of mobile edge computing efficiently solves the problem that mobile devices are unable to handle computation-intensive...
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Deep reinforcement learning in mobile robotics – a concise review
Mobile robotics is one of the emerging research area in the robotics. The recently evolving techniques, artificial intelligence and precise hardware...
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Mobile Agent Security Against Malicious Hosts: A Survey
With the progression of technology comes the increase in data putting more pressure on bandwidth and generating greater network traffic. Mobile...
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Mobile Apps as Personal Assistant Agents: the
JaCa-Android Framework for programming Agents-based applications on mobile devicesA relevant application domain for agent-based software is given by mobile and wearable applications. In this context, the impressive progress of...
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Multi-user reinforcement learning based task migration in mobile edge computing
Mobile Edge Computing (MEC) is a promising approach. Dynamic service migration is a key technology in MEC. In order to maintain the continuity of...
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Mobile botnet detection: a comprehensive survey
The number of people using mobile devices is increasing as mobile devices offer different features and services. Many mobile users install various...
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Review of the characteristics of mobile robots for health care application
Mobile robotics has become a well-known research area in healthcare applications; as it defines itself from general robotics, it can move in the...
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A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots
In e-commerce logistics, it is critical to enhance the efficiency of the order-picking system. Motivated by applications of automatic logistics, we...
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Speaking, fast or slow: how conversational agents’ rate of speech influences user experience
With the development of artificial intelligence technology, users are increasingly inclined to use conversational agents (CAs) as personal...
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Task scheduling using glowworm-based optimal heterogeneous earliest finish time algorithm for mobile grid
Mobile grids include features that support mobile users and mobile resources, including limited energy, unstable network connections, etc. Grid...
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A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with...