Results 61 to 70 of about 86,980 (313)
A Novel Robust Interacting Multiple Model Algorithm for Maneuvering Target Tracking
Advances in Electrical and Computer Engineering, 2017 In this paper, the state estimation problem for discrete-time jump Markov systems is considered. A minimax filtering technique, interacting multiple model algorithm based on game theory, is developed for discrete-time stochastic systems.
GHAZAL, M., DOUSTMOHAMMADI, A.
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Journal of Agricultural and Resource Economics, 2002 This study investigates the costs of subsidies for land retention and conversion, in addition to a policy that combines the incentives. A Markov model of forest and agricultural land use is estimated for the U.S. South Central region and used to simulate
Andrew J. Plantinga, Soeun Ahn
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Minimum Bitrate Neuromorphic Encoding for Continuous-Time Gauss-Markov Processes [PDF]
, 2023 Travis C. Cuvelier +2 more
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Advanced Science, EarlyView.scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
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Unsupervised SAR image segmentation based on kernel TMFs with belief propagation
The Journal of Engineering, 2019 The triplet Markov field (TMF) model has achieved promising results in synthetic aperture radar (SAR) image segmentation. Focusing on the simple likelihood modelling of an SAR image and the effective optimisation of the TMF model, an unsupervised SAR ...
Lu Gan, Xiaoming Liu, Ziwei Li
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S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Advanced Science, EarlyView.Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
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Scanning of Markov Random Processes
Advances in Electrical and Electronic Engineering, 2003 Function of most electronic devices is based on the microprocessor control. A microprocessor must scan and evaluate function of many controlled equipment that can be transformed into 2 statuses - "free" or "busy".
Gustav Cepciansky
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Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides
Advanced Science, EarlyView.To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li +9 more
wiley +1 more source
The application of stochastic ICIM model in the decision-making processes of insurance product management [PDF]
Strategic ManagementBackground: The significance of this study arises from the increasing complexity of managing insurance products, driven by the need to accurately model and predict the occurrence of insured events and associated risks.
Simonka Zsolt +2 more
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Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
Advanced Science, EarlyView.This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
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