Results 81 to 90 of about 30,788 (321)
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget [PDF]
Mahsa Ghasemi, Ufuk Topcu
openalex +2 more sources
The Law of Sports. By John Weistart and Cym Lowell. [PDF]
This report gives an overview of methods and approaches applicable to the UAV flight path and sensor aiming planning problem for search and track of multiple ground targets.
Alvarez, Carlos
core +1 more source
A primer on partially observable Markov decision processes (POMDPs) [PDF]
Iadine Chadès +4 more
openalex +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
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
The Complexity of POMDPs with Long-run Average Objectives
We study the problem of approximation of optimal values in partially-observable Markov decision processes (POMDPs) with long-run average objectives.
Chatterjee, Krishnendu +2 more
core +1 more source
Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process [PDF]
Zhen Zhang +3 more
openalex +1 more source
Advanced Experiment Design Strategies for Drug Development
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
A Method for Speeding Up Value Iteration in Partially Observable Markov\n Decision Processes [PDF]
Nevin L. Zhang +2 more
openalex +2 more sources
As the railway domain progresses towards autonomy, maintaining safety at levels comparable to human-operated systems is a crucial challenge. Autonomous trains require advanced systems capable of real-time risk assessment and decision-making, a task ...
Mohammed Chelouati +3 more
doaj +1 more source

