Results 191 to 200 of about 73,324 (295)
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 +4 more
wiley +1 more source
HiDeS: a higher-order-derivative-supervised neural ordinary differential equation for multi-robot systems and opinion dynamics. [PDF]
Front NeurorobotLi M, Bian W, Chen L, Liu M.
europepmc +1 more source
Dynamics of Public Opinions in an Online and Offline Social Network
, 2017 Yucheng Dong +3 more
openalex +2 more sources
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 +37 more
wiley +1 more source
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
Thermometric Based‐Microswimmers with Chemical and Optical Engines
Advanced Intelligent Systems, EarlyView.Temperature sensing at small scales is typically performed using passive luminescent particles. Here, an alternative approach is demonstrated by integrating upconversion thermometry into self‐propelled microswimmers powered by chemical fuels or light. This strategy offers a step toward dynamic thermal sensing at the microscale, relevant to both lab‐on ...
João M. Gonçalves, Katherine Villa
wiley +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
Advanced Intelligent Systems, EarlyView.This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters
Advanced Intelligent Systems, EarlyView.This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour +4 more
wiley +1 more source
Opinion Dynamics under Voter and Majority Rule Models with Biased and Stubborn Agents. [PDF]
, 2020 Arpan Mukhopadhyay +2 more
openalex