Image de couverture de livre

Algorithms for dynamic scheduling in manufacturing, towards digital factories Improving Deadline Feasibility and Responsiveness via Temporal Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Hedea, Ioan
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Real-Time Deadlines Reveal Temporal Awareness Failures in LLM Strategic Dialogues
par: Sehgal, Neil K. R., et autres
Publié: (2026)

Deadline-Aware, Energy-Efficient Control of Domestic Immersion Hot Water Heater
par: Khan, Muhammad Ibrahim, et autres
Publié: (2026)

Bridging Planning and Execution: Multi-Agent Path Finding Under Real-World Deadlines
par: Yan, Jingtian, et autres
Publié: (2025)

Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks
par: Guo, Shuyang, et autres
Publié: (2025)

A study on constraint extraction and exception exclusion in care worker scheduling
par: Suenaga, Koki, et autres
Publié: (2025)

THIRDEYE: Cue-Aware Monocular Depth Estimation via Brain-Inspired Multi-Stage Fusion
par: Ioan, Calin Teodor
Publié: (2025)

Discovering Temporally-Aware Reinforcement Learning Algorithms
par: Jackson, Matthew Thomas, et autres
Publié: (2024)

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
par: Liang, Yuanyuan, et autres
Publié: (2025)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
par: Zhang, Xinliang Frederick, et autres
Publié: (2024)

HyperbolicLR: Epoch insensitive learning rate scheduler
par: Kim, Tae-Geun
Publié: (2024)

Offline reinforcement learning for job-shop scheduling problems
par: Echeverria, Imanol, et autres
Publié: (2024)

AIR: Improving Agent Safety through Incident Response
par: Xiao, Zibo, et autres
Publié: (2026)

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
par: Ke, Zhifa, et autres
Publié: (2024)

Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems
par: Irmouli, Maissa, et autres
Publié: (2023)

Improved Generalization of Weight Space Networks via Augmentations
par: Shamsian, Aviv, et autres
Publié: (2024)

Data-driven project planning: An integrated network learning and constraint relaxation approach in favor of scheduling
par: Cohen, Izack
Publié: (2023)

SPAN: Benchmarking and Improving Cross-Calendar Temporal Reasoning of Large Language Models
par: Miao, Zhongjian, et autres
Publié: (2025)

Value Improved Actor Critic Algorithms
par: Oren, Yaniv, et autres
Publié: (2024)

LLM-Grounded Explainable AI for Supply Chain Risk Early Warning via Temporal Graph Attention Networks
par: Xue, Zhiming, et autres
Publié: (2026)

Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability
par: Xie, Jiarui, et autres
Publié: (2024)

Feasible Learning
par: Ramirez, Juan, et autres
Publié: (2025)

Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
par: Aghamov, Rajab, et autres
Publié: (2025)

A Temporal Graph Network Framework for Dynamic Recommendation
par: Kim, Yejin, et autres
Publié: (2024)

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
par: Acharya, Kamal, et autres
Publié: (2024)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
par: Su, Junwei, et autres
Publié: (2024)

Gaussian Embedding of Temporal Networks
par: Romero, Raphaël, et autres
Publié: (2024)

Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
par: Galron, Yaniv, et autres
Publié: (2025)

An efficient deep reinforcement learning environment for flexible job-shop scheduling
par: Wu, Xinquan, et autres
Publié: (2025)

Exact and heuristic methods for the discrete parallel machine scheduling location problem
par: Kramer, Raphael, et autres
Publié: (2020)

Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors
par: Martin, Jonathan B., et autres
Publié: (2025)

On the Feasibility of Poisoning Text-to-Image AI Models via Adversarial Mislabeling
par: Wu, Stanley, et autres
Publié: (2025)

An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
par: Jumaah, Mahmood A., et autres
Publié: (2025)

Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint
par: Tran, Tan D., et autres
Publié: (2024)

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
par: Dong, Hao, et autres
Publié: (2023)

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
par: Guetschel, Pierre, et autres
Publié: (2024)

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments
par: Hofmann, Bernd, et autres
Publié: (2025)

AI Propaganda factories with language models
par: Olejnik, Lukasz
Publié: (2025)

Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
par: Saikai, Yuji, et autres
Publié: (2023)

A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows
par: Lucci, Mauro, et autres
Publié: (2021)

Adaptive scheduling for adaptive sampling in POS taggers construction
par: Ferro, Manuel Vilares, et autres
Publié: (2024)