Results 91 to 100 of about 86,980 (313)
Simulation based sequential Monte Carlo methods for discretely observed Markov processes [PDF]
, 2014 Peter Neal
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Advanced Intelligent Systems, EarlyView.gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
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On the exit time from open sets of some semi-Markov processes [PDF]
, 2020 Giacomo Ascione +2 more
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Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions
Advanced Intelligent Systems, EarlyView.Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li +15 more
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Properly Quantized History Dependent Parrondo Games, Markov Processes, and Multiplexing Circuits [PDF]
, 2009 Steven A. Bleiler, Faisal Shah Khan
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Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
Advanced Intelligent Systems, EarlyView.This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
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Reliability analysis of mine ventilation fans based on Markov process theory
Горные науки и технологииThe reliability of mine ventilation fans plays a crucial role in aerological systems and is determined by a combination of various geological, mining-technological, and structural factors, most of which are stochastic in nature.
P. V. Vyatkin +3 more
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Language‐Guided Robot Grasping Based on Basic Geometric Shape Fitting
Advanced Intelligent Systems, EarlyView.This article presents a language‐guided, model‐free grasping framework that integrates multimodal perception with primitive‐based geometric fitting. By explicitly modeling object geometry from RGB‐D data, the method enables semantically controllable grasp pose generation and achieves robust performance in both structured and cluttered real‐world ...
Qun Niu +5 more
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