Results 71 to 80 of about 8,264 (263)
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Online route planning based on mMarkov survival model and PSO algorithm
四川大学学报. 自然科学版, 2018 Aiming at the problem of route planning for aircraft under unknown condition, the online planning strategy is adopted to ensure that the aircraft can plan the future path in real time, and Markov survival model is introduced to obtain the survival ...
CUI Shu-Ting +4 more
doaj
A CNN-PPO Deep Reinforcement Learning Method for Maritime Target Motion Prediction
Applied SciencesIn recent years, with the continuous development of the global economy, maritime transportation has become an essential mode of transportation for both domestic and international trade, making it an urgent task for countries around the world to improve ...
Xiao Zheng +4 more
doaj +1 more source
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
, 2020 yesThe time-optimal problem for a linear system considered. This problem is reduced to the power Markov moment min-problem with even gaps.
Korobov, V., Bugaevskaya, A.
core
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Investigation of a Markov Model for Computer System Security Threats
Моделирование и анализ информационных систем, 2017 In this work, a model for computer system security threats formulated in terms of Markov processes is investigated. In the framework of this model the functioning of the computer system is considered as a sequence of failures and recovery actions which ...
Alexey A. A. Magazev +1 more
doaj +1 more source
Existence, uniqueness and a constructive solution algorithm for a class of finite Markov moment problems [PDF]
We consider a class of finite Markov moment problems with arbitrary number of positive and negative branches. We show criteria for the existence and uniqueness of solutions, and we characterize in detail the non-unique solution families.
Olof Runborg, Laurent Gosse
core
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 +3 more
wiley +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