Results 41 to 50 of about 9,278,000 (361)

Cost-effectiveness of a potential Zika vaccine candidate: a case study for Colombia

BMC Medicine, 2018
Background A number of Zika vaccine platforms are currently being investigated, some of which have entered clinical trials. We sought to evaluate the cost-effectiveness of a potential Zika vaccine candidate under the WHO Vaccine Target Product Profile ...
Affan Shoukat, Thomas Vilches, Seyed M. Moghadas   +2 more
doaj   +1 more source

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control [PDF]

IEEE transactions on intelligent transportation systems (Print), 2019
Reinforcement learning (RL) is a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, and deep neural networks further enhance its learning power. However, the centralized RL is infeasible for large-
Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li   +3 more
semanticscholar   +1 more source

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction [PDF]

Computer Vision and Pattern Recognition, 2019
Accurate prediction of others' trajectories is essential for autonomous driving. Trajectory prediction is challenging because it requires reasoning about agents' past movements, social interactions among varying numbers and kinds of agents, constraints ...
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Y. Wu   +7 more
semanticscholar   +1 more source

An approach to rollback recovery of collaborating mobile agents [PDF]

, 2004
Fault-tolerance is one of the main problems that must be resolved to improve the adoption of the agents' computing paradigm. In this paper, we analyse the execution model of agent platforms and the significance of the faults affecting their constituent ...
Bargiela, A, Osman, T, Wagealla, W
core   +1 more source

A Survey on Sensor Selection and Placement for Connected and Automated Mobility

IEEE Open Journal of Intelligent Transportation Systems
The progress towards fully autonomous mobility is significantly impacted by the integration of evolving technologies in connected and automated mobility (CAM). Connected and automated vehicles (CAVs) have the potential to revolutionize our transportation
Mehmet Kiraz, Fikret Sivrikaya, Sahin Albayrak   +2 more
doaj   +1 more source

DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters

IEEE Access, 2022
Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of the capture devices.
Sarayut Gonwirat, Olarik Surinta
doaj   +1 more source

LLM Agents Making Agent Tools

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Tool use has turned large language models (LLMs) into powerful agents that can perform complex multi-step tasks by dynamically utilising external software components. However, these tools must be implemented in advance by human developers, hindering the applicability of LLM agents in domains which demand large numbers of highly specialised tools, like ...
Wölflein, Georg, Ferber, Dyke, Truhn, Daniel, Arandjelović, Ognjen, Kather, Jakob N.   +4 more
openaire   +3 more sources

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

An Agent-Based Data Acquisition Pipeline for Image Data

IEEE Access
The efficient processing of information plays a critical role in data-driven domains. Data acquisition pipelines, which act as the interface between data collection and subsequent processing, are central to this.
Benjamin Acar, Martin Berger, Marc Guerreiro Augusto, Tobias Kuster, Fikret Sivrikaya, Sahin Albayrak   +5 more
doaj   +1 more source

dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification

IEEE Access, 2022
The ensemble learning method is a necessary process that provides robustness and is more accurate than the single model. The snapshot ensemble convolutional neural network (CNN) has been successful and widely used in many domains, such as image ...
Sangdaow Noppitak, Olarik Surinta
doaj   +1 more source