Results 101 to 110 of about 252,925 (275)

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Minimum eigenvalue inequalities for Z -transformations on proper and symmetric cones

Linear Algebra and its Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tao, J., Gowda, M. Seetharama
openaire   +1 more source

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra   +5 more
wiley   +1 more source

Advanced Spectrum Sensing Techniques for Robust Train-to-Train Wireless Communication Systems: A Comprehensive Evaluation

IEEE Access
In the context of full automation of train operation, flexible train management, and improved traffic capacity, the Next Generation Train Control and Monitoring System (NG-TCMS) represents a key technology.
Chadli Hadji, Yamen Alsaba, Marion Berbineau, Fouzia Elbahhar, Rodrigue Fargeon   +4 more
doaj   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +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

Complementary multi‐omics profiling of chronic thromboembolic pulmonary hypertension reveals immune cell alterations, epigenetic changes, and genetically supported candidate genes

Animal Models and Experimental Medicine, EarlyView.
This study presents an integrative multi‐omics framework to uncover the molecular mechanisms and potential biomarkers of chronic thromboembolic pulmonary hypertension (CTEPH). Anthropometric and biochemical data were correlated using canonical correlation analysis, revealing key cardiometabolic associations. Single‐cell RNA sequencing identified immune
Xiaopeng Liu, Xia Zheng, Yajun Zhang, Yinghui Fang, Yanan Zhen   +4 more
wiley   +1 more source

Lower bounds on the minimum eigenvalue of the Fan product of several M-matrices

Journal of Inequalities and Applications
The concept of the Fan product of several M-matrices is introduced. Furthermore, two new lower bounds of the minimum eigenvalue of the Fan product of several M-matrices are proposed.
Qin Zhong
doaj   +1 more source

Evaluation of quantitative muscle MRI and an intelligent phenotyping housing system as advanced phenotyping methods in a mouse model of calpain 3‐deficient muscular dystrophy

Animal Models and Experimental Medicine, EarlyView.
We applied quantitative MRI of the lower limb and automated home‐cage phenotyping to a mouse model of calpainopathy to detect early disease changes. At 15 months, calpain 3‐deficient mice showed increased water T2 values correlating with immune cell infiltration in the soleus and gastrocnemius muscles, while assessment of motor activity revealed only ...
Nicolina Südkamp, Marlena Rohm, Gabriele Russo, Xavier Helluy, Abdulhadi Kocabas, Martijn Froeling, Felix Kleefeld, Denise Manahan‐Vaughan, Tobias Ruck, Frank Jacobsen, Matthias Vorgerd, Johannes Forsting, Lara Schlaffke   +12 more
wiley   +1 more source