Buchumschlag

Rare Class Prediction Model for Smart Industry in Semiconductor Manufacturing

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Farrag, Abdelrahman, Ghali, Mohammed-Khalil, Jin, Yu
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

BEYONDWORDS is All You Need: Agentic Generative AI based Social Media Themes Extractor
von: Ghali, Mohammed-Khalil, et al.
Veröffentlicht: (2025)

GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models
von: Ghali, Mohammed-Khalil, et al.
Veröffentlicht: (2024)

A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
von: Lee, Jay, et al.
Veröffentlicht: (2023)

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
von: Ghali, Mohammed-Khalil, et al.
Veröffentlicht: (2025)

Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation
von: Tabatabaee, Sadaf, et al.
Veröffentlicht: (2026)

Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
von: Lee, Sewoong, et al.
Veröffentlicht: (2023)

Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
von: Yen, Wei-hsiang, et al.
Veröffentlicht: (2025)

Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI
von: Ghali, Mohammed-Khalil, et al.
Veröffentlicht: (2024)

2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
von: Lee, Jay, et al.
Veröffentlicht: (2026)

A Benchmark Time Series Dataset for Semiconductor Fabrication Manufacturing Constructed using Component-based Discrete-Event Simulation Models
von: Pendyala, Vamsi Krishna, et al.
Veröffentlicht: (2024)

Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training
von: Abouzeid, Abdelrahman
Veröffentlicht: (2026)

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
von: Maheshwari, Saket, et al.
Veröffentlicht: (2024)

Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing
von: Ghahramani, Mohammadhossein, et al.
Veröffentlicht: (2026)

Tool-to-Tool Matching Analysis Based Difference Score Computation Methods for Semiconductor Manufacturing
von: H., Sameera Bharadwaja, et al.
Veröffentlicht: (2025)

A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
von: Lee, Gyeong Taek, et al.
Veröffentlicht: (2024)

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
von: Farahani, Mojtaba A., et al.
Veröffentlicht: (2025)

Time-Series Classification in Smart Manufacturing Systems: An Experimental Evaluation of State-of-the-Art Machine Learning Algorithms
von: Farahani, Mojtaba A., et al.
Veröffentlicht: (2023)

ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
von: Chakrabarty, Surajit, et al.
Veröffentlicht: (2025)

Learning-enabled Flexible Job-shop Scheduling for Scalable Smart Manufacturing
von: Moon, Sihoon, et al.
Veröffentlicht: (2024)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
von: Zhu, Mingcheng, et al.
Veröffentlicht: (2025)

Focus on Likely Classes for Test-Time Prediction
von: Schneider, Johannes
Veröffentlicht: (2025)

Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
von: Bai, Ruoxuan, et al.
Veröffentlicht: (2024)

Mini-Batch Class Composition Bias in Link Prediction
von: Maguire, Kieran, et al.
Veröffentlicht: (2026)

PyraNet: A Multi-Layered Hierarchical Dataset for Verilog
von: Nadimi, Bardia, et al.
Veröffentlicht: (2024)

VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric
von: Nadimi, Bardia, et al.
Veröffentlicht: (2025)

Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets
von: Stöckermann, Patrick, et al.
Veröffentlicht: (2025)

Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
von: Penso, Coby, et al.
Veröffentlicht: (2025)

Predicting Classification Accuracy When Adding New Unobserved Classes
von: Slavutsky, Yuli, et al.
Veröffentlicht: (2020)

Estimating the Probabilities of Rare Outputs in Language Models
von: Wu, Gabriel, et al.
Veröffentlicht: (2024)

DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
von: Inan, Muhammad Sakib Khan, et al.
Veröffentlicht: (2025)

A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
von: Gama, João, et al.
Veröffentlicht: (2024)

Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homes
von: Ganatra, Shrey, et al.
Veröffentlicht: (2024)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
von: Zhou, Zikang, et al.
Veröffentlicht: (2024)

Beyond the Known: Novel Class Discovery for Open-world Graph Learning
von: Jin, Yucheng, et al.
Veröffentlicht: (2024)

Knowledge Graphs: The Future of Data Integration and Insightful Discovery
von: Mohamed, Saher, et al.
Veröffentlicht: (2024)

CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
von: Ghahramani, Mohammadhossein, et al.
Veröffentlicht: (2026)

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
von: Abouaomar, Anas, et al.
Veröffentlicht: (2025)

Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
von: Mayr, Michael, et al.
Veröffentlicht: (2024)

ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
von: Efatinasab, Emad, et al.
Veröffentlicht: (2025)

Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
von: Ajenifujah, Olabode T., et al.
Veröffentlicht: (2025)