Results 81 to 90 of about 86,980 (313)

Markov Processes and Related Topics (III). [PDF]

Front Math China, 2021
Hong W, Mao Y, Zhang Y.
europepmc   +1 more source

A Limit Theorem for a Class of Inhomogeneous Markov Processes [PDF]

, 1989
Tzuu-Shuh Chiang, Y. K. Chow
openalex   +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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

APPLICATION OF MARKOV PROCESSES AS EFFICIENT INSTRUMENT FOR MAN-AGEMENT DECISION MAKING ON THE BASIS OF ENTERPRISE BUSINESS MODEL-ING

Advanced Engineering Research, 2012
The issues concerning the potential application of Markov processes theory for efficient management decision making based on the production enterprise business modeling are considered.
Evgeniya R. Khabibullina
doaj  

GraphVAMPNet, using graph neural networks and variational approach to Markov processes for dynamical modeling of biomolecules. [PDF]

J Chem Phys, 2022
Ghorbani M, Prasad S, Klauda JB, Brooks BR.   +3 more
europepmc   +1 more source

Perturbation bounds for quantum Markov processes and their fixed points [PDF]

, 2013
Oleg Szehr, Michael M. Wolf
openalex   +1 more source

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes. [PDF]

J Math Biol, 2021
Gross E, van Iersel L, Janssen R, Jones M, Long C, Murakami Y.   +5 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Linear Boltzmann Equation for Solute Dispersion in Heterogeneous Media Under Non-Ergodic Conditions

ARC Geophysical Research
We study solute dispersion under non-ergodic conditions using a Boltzmann equation for the evolution of the joint distribution of the position and speed of solute particles in steady spatially heterogeneous flow fields.
Marco Dentz, Arash Massoudieh
doaj   +1 more source