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A Novel Copolymer-Based Functional SPECT/MR Imaging Agent for Asialoglycoprotein Receptor Targeting
Published 2016-09-01Get full text
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Standoff Methods for the Detection of Threat Agents: A Review of Several Promising Laser-Based Techniques
Published 2014-01-01Get full text
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Impact of virtual agent facial emotions and attention on N170 ERP amplitude: comparative study
Published 2025-02-01Get full text
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105
Dynamic rationing using agent-based modeling of the assembly process of equipment for nuclear power plants
Published 2023-02-01“…The accuracy of calculations of data convergence, income on the environment in Matlab Mathworks and Microsoft Excel during manual modeling is argued. The agreements state a slight deviation from the data model of the developed agent-based model of a practical experiment carried out as part of the implementation of the contract for the creation of equipment for a new power unit, a causal analysis is carried out. …”
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Observer-Based Aperiodic Time-Triggered Intermittent Control for Exponential Consensus of Multi-Agent Systems
Published 2025-01-01“…OATICP only relies on the output information at sampling instants to estimate the state of the agent itself, and the state estimation information of the neighbor agents at sampling instants to generate the control signal. …”
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Bioacaricides in Crop Protection—What Is the State of Play?
Published 2025-01-01Get full text
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109
Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing
Published 2024-12-01“…Overall, this framework significantly advances UAV trajectory optimization and enhances the performance of multi-agent systems within UAV-assisted edge computing environments.…”
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110
Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent
Published 2024-11-01“…With the goal of minimizing the waiting time and queue length at intersections, we use double DQN to train the agent, incorporate traffic state and reward into the loss function, and update the target network parameters asynchronously, to improve the agent’s learning ability. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning
Published 2019-01-01“…The agent is trained and tested on Doom’s basic scenario(s) where the results are compared and found to be 10% better compared to the existing state-of-the-art research work on Doom-based agents. …”
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Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning
Published 2024-12-01“…The DRL-based decision-making model considers crucial factors, such as instantaneous channel state information and historical link selections, to dynamically allocate channels and transmission power, leading to improved system efficiency.By incorporating federated learning, we enable knowledge sharing and synchronization among the decentralized vehicular agents. …”
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Borax and Boric Acid Combination As Fire Retardant and Anti-termite Agents on Red Meranti Wood
Published 2012-01-01Get full text
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On Modeling Agent Behavior Change Through Multi-Typed Information Diffusion in Online Social Networks
Published 2025-01-01Get full text
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“They paved the Atlantic with books”: William and Jenny Bradley, literary agents and cultural passeurs across borders
Published 2023-06-01“…This article first aims at including the two agents into the communications circuit relevant to book history that unfolds from writer to editor and on to reader, at a time when the book industry became more international. …”
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