Results 221 to 230 of about 600,349 (318)

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species. [PDF]

Research (Wash D C)
Liu K, Li R, Wu L, Yang J, Han J, He S, Bo X, Gao J.   +7 more
europepmc   +1 more source

Multi-algorithm consensus classification identifies three distinct acute liver failure subtypes with differential treatment responses: a multi-database cohort study

Ying Yang, Wei Yang, Bo Tang, Yang Li, Tao Zhang   +4 more
openalex   +1 more source

A Distributed Economic Dispatch Algorithm Based on Multi-Agent Consensus Control and Incremental Power Supplying

, 2018
Wushun Chen, Tao Li
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems. [PDF]

npj Quantum Inf
de Keijzer RJPT, Visser LY, Tse O, Kokkelmans SJJMF.   +3 more
europepmc   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Large-Scale Multi-UAV Task Allocation via a Centrality-Driven Load-Aware Adaptive Consensus Bundle Algorithm for Biomimetic Swarm Coordination. [PDF]

Biomimetics (Basel)
Gan W, Xu H, Bai Y, Zhou X, Wu W, Du X.
europepmc   +1 more source

Managing Urticarial Vasculitis: A Clinical Decision-Making Algorithm Based on Expert Consensus [PDF]

Nikolai Dario Rothermel, Carolina Vera, Margarida Gonçalo, Jie Shen Fok, Leonie Herzog, Emek Kocatürk, Sophia Neisinger, Manuel P. Pereira, Indrashis Podder, Polina Pyatilova, Aisté Ramanauskaité, Melba Muñoz, Karoline Krause, Marcus Maurer, Hanna Bonnekoh, Pavel Kolkhir   +15 more
openalex   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source