Results 171 to 180 of about 79,617 (312)

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

Optimal Wavelengths and Solvents to Modulate Diazirine Kinetics

ACS Omega
Elwin W. J. Ang, Ivan Djordjevic, Animesh Ghosh, Chen Yee Goh, Hao Zhang, Bryce Yu Heng Leck, Miranda J. Baran, Jeremy E. Wulff, Terry W. J. Steele   +8 more
doaj   +1 more source

Metaheuristic-optimized interaction-aware deep learning with large language model assistance for data-driven water quality prediction. [PDF]

Sci Rep
Mattar EA, El-Kenawy EM, Alhammad SM, Eid MM.   +3 more
europepmc   +1 more source

Trend-extracted MSE based on adaptive aligned EEMD with early termination scheme: Analysis of the acute stroke patients' physiological signals

, 2014
Pei-Wen Huang, Wei-Jung Jou, Yu‐Min Lin, Hsiao-I Jen, Sung‐Chun Tang, Dar‐Ming Lai, An-Yeu Wu   +6 more
openalex   +2 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Age-Related Changes in EEG Signal Complexity and Behavioral Variability from Childhood to Adulthood: A Multiscale Entropy Approach. [PDF]

Entropy (Basel)
Angulo-Ruiz BY, Muñoz V, Rodríguez-Martínez EI, Gómez CM.   +3 more
europepmc   +1 more source

Exact Equality of the MSEs for Two Types of Nonlinear Adaptive Systems: Saturation and Dead-Zone Types

Seiji Miyoshi, Yua Yamaguchi
openalex   +1 more source

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

Advanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards, Thales C. Silva, M. Ani Hsieh   +2 more
wiley   +1 more source

Generation Mechanism and LWD-Based Identification Methods for Highly Fractured Shale: A Case Study of Wufeng-Longmaxi Formations, Sichuan Basin. [PDF]

ACS Omega
Qiu X, Shi W, He C, Wang T, He H, Tan P, Ye X, Wei W, Feng X, Jiao E.   +9 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source