Results 201 to 210 of about 173,518 (269)

High-speed all-optical neural networks empowered spatiotemporal mode multiplexing. [PDF]

Light Sci Appl
Feng F, Li X, Zhang Z, Gan J, Yuan X.
europepmc   +1 more source

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

Wireless in-body sensing through genetically engineered bacteria. [PDF]

Nat Commun
Bilir A, Yavuz M, Seker UOS, Dumanli S.
europepmc   +1 more source

Loss‐Based Ensemble Generative Adversarial Network Model for Enhancing the Sperm Morphology Classification

Advanced Intelligent Systems, EarlyView.
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz, Hamza Osman Ilhan, Gorkem Serbes   +2 more
wiley   +1 more source

Reconfigurable SiC gratings in PDMS: a portable approach for atmospheric optical communication networks. [PDF]

Light Sci Appl
Ma W, Fu Y, Han D, Dong K, Zeng J, Wang Q, Lin P, Zhang Y, Gu Y, Liu Z, Liu X, Jiang H.   +11 more
europepmc   +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

Randomly distributed optical fibers in translucent mortar for privacy-preserving light transmission and digital image reconstruction. [PDF]

Sci Rep
Arcolezi KH, Marion V, Ung B, Ouellet-Plamondon C.   +3 more
europepmc   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

Observations of marine animal interactions with a small tidal turbine. [PDF]

PLoS One
Cotter E, Bassett C, Murphy P, Scott M, Runyan A, Almokharrak JM, Kao LG, Ovall LM, McMillen SA.   +8 more
europepmc   +1 more source

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung, Heeju Mun, Seyed Farokh Atashzar, Ki‐Uk Kyung   +3 more
wiley   +1 more source