Results 101 to 110 of about 22,384 (303)
Angular asymptotics for multi-dimensional non-homogeneous random walks with asymptotically zero drift [PDF]
, 2009 We study the rst exit time from an arbitrary cone with apex at the origin by a non-homogeneous random walk (Markov chain) on Zd (d 2) with mean drift that is asymptotically zero.
MacPhee, Iain M. +7 more
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Remote SensingPolSAR image classification has attracted extensive significant research in recent decades. Aiming at improving PolSAR classification performance with speckle noise, this paper proposes an active complex-valued convolutional-wavelet neural network by ...
Lu Liu, Yongxiang Li
doaj +1 more source
Improving Deep Learning based Point Cloud Classification using Markov Random Fields with Quadratic Pseudo-Boolean Optimization [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences3D point clouds are a relevant source of information for multiple applications, including digital twins, building modeling, disaster and risk management, forestry, autonomous driving, and many others.
Q. Mei, K. Qiu, D. Bulatov, D. Iwaszczuk
doaj +1 more source
Hidden Markov random field and FRAME modelling for TCA-image analysis [PDF]
Tooth Cementum Annulation (TCA) is an age estimation method carried out on thin cross sections of the root of human teeth. Age is computed by adding the tooth eruption age to the count of annual incremental lines that are called tooth rings and appear in
Katy Streso, Francesco Lagona
core
Image texture analysis based on Gaussian Markov Random Fields [PDF]
, 2014 Texture analysis is one of the key techniques of image understanding and processing with widespread applications from low level image segmentation to high level object recognition.
Dharmagunawardhana, Chathurika
core
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 +6 more
wiley +1 more source
ActivePPI: quantifying protein-protein interaction network activity with Markov random fields. [PDF]
Bioinformatics, 2023 Wang C, Xu S, Sun D, Liu ZP.
europepmc +1 more source
Gaussian and non-Gaussian random fields associated with Markov processes [PDF]
, 1984 To every Markov process with a symmetric transition density, there correspond two random fields over the state space: a Gaussian field (the free field) φ and the occupation field T which describes amount of time the particle spends at each state.
Dynkin, E.B
core +1 more source
American Journal of Botany, EarlyView.Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source