Cover Image

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Windmann, Alexander, Wittenberg, Philipp, Schieseck, Marvin, Niggemann, Oliver
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning I.2.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)
by: Gindert, Michael, et al.
Published: (2024)

Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
by: Jiang, Shuo, et al.
Published: (2025)

Integrated Water Resource Management in the Segura Hydrographic Basin: An Artificial Intelligence Approach
by: Otamendi, Urtzi, et al.
Published: (2024)

Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
by: Wang, Xiaohua, et al.
Published: (2026)

Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data: Benchmark on Two Mixed Training Strategies
by: Wachter, Paul, et al.
Published: (2025)

Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice
by: Clément, Benjamin, et al.
Published: (2024)

Intelligent Data-Driven Architectural Features Orchestration for Network Slicing
by: Moreira, Rodrigo, et al.
Published: (2024)

The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem
by: Hakim, Joe B, et al.
Published: (2024)

MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection
by: Schraven, Joshua, et al.
Published: (2025)

No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence
by: van der Aalst, Wil M. P.
Published: (2025)

Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI
by: Chou, Evan J., et al.
Published: (2025)

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting
by: Shao, Zhiqi, et al.
Published: (2024)

Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
by: Yoon, Namkyung, et al.
Published: (2026)

CEDAR: Context Engineering for Agentic Data Science
by: Roy, Rishiraj Saha, et al.
Published: (2026)

LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
by: Zhang, Marilyn, et al.
Published: (2026)

Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
by: Bhattacharjee, Shamik, et al.
Published: (2024)

Towards an educational tool for supporting neonatologists in the delivery room
by: Leonardi, Giorgio, et al.
Published: (2024)

A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults
by: Kavaz, Ayse Gokcen, et al.
Published: (2023)

An improved tabular data generator with VAE-GMM integration
by: Apellániz, Patricia A., et al.
Published: (2024)

Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark
by: Cunha, Cristiano da Costa, et al.
Published: (2026)

IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
by: Macciò, Simone, et al.
Published: (2025)

BenchECG and xECG: a benchmark and baseline for ECG foundation models
by: Lunelli, Riccardo, et al.
Published: (2025)

Generalization Beyond Benchmarks: Evaluating Learnable Protein-Ligand Scoring Functions on Unseen Targets
by: Kopko, Jakub, et al.
Published: (2025)

NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting in Delhi National Capital Region
by: Kumar, Rampunit, et al.
Published: (2026)

Automated ultrasound doppler angle estimation using deep learning
by: Patil, Nilesh, et al.
Published: (2025)

Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games
by: Pape, Nicholas A.
Published: (2025)

Explainable Prediction of the Mechanical Properties of Composites with CNNs
by: Raaghav, Varun, et al.
Published: (2025)

Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes
by: Desure, Ruchika, et al.
Published: (2024)

Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
by: Yoo, Seunghyun, et al.
Published: (2026)

SOMtime the World Ain$'$t Fair: Violating Fairness Using Self-Organizing Maps
by: Bingham, Joseph, et al.
Published: (2026)

Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
by: Windmann, Alexander, et al.
Published: (2025)

Robust Multi-Omics Integration from Incomplete Modalities Significantly Improves Prediction of Alzheimer's Disease
by: Park, Sungjoon, et al.
Published: (2025)

Smart Recommendations for Renting Bikes in Bike Sharing Systems
by: Billhardt, Holger, et al.
Published: (2024)

A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting
by: Chakraborty, Arya, et al.
Published: (2024)

Genesis: Towards the Automation of Systems Biology Research
by: Tiukova, Ievgeniia A., et al.
Published: (2024)

DNNShifter: An Efficient DNN Pruning System for Edge Computing
by: Eccles, Bailey J., et al.
Published: (2023)

NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
by: Jo, Wonkeun, et al.
Published: (2024)

Model Fusion via Retrofitting
by: Luenam, Phoomraphee, et al.
Published: (2025)

Bayesian Nonparametric Dynamical Clustering of Time Series
by: Pérez-Herrero, Adrián, et al.
Published: (2025)

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
by: Hashtarkhani, Soheil, et al.
Published: (2025)