A Data-Driven Predictive Framework for Inventory Optimization Using Context-Augmented Machine Learning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Fatima, Anees, Salam, Mohammad Abdus |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-Context Learning for Data-Driven Censored Inventory Control
by: Mukherjee, Sohom, et al.
Published: (2026)
by: Mukherjee, Sohom, et al.
Published: (2026)
Machine Learning-Driven Crystal System Prediction for Perovskites Using Augmented X-ray Diffraction Data
by: Mathew, Ansu, et al.
Published: (2026)
by: Mathew, Ansu, et al.
Published: (2026)
Data-Driven Prediction of Maternal Nutritional Status in Ethiopia Using Ensemble Machine Learning Models
by: Tessema, Amsalu, et al.
Published: (2025)
by: Tessema, Amsalu, et al.
Published: (2025)
A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
by: Bagosher, Madyan, et al.
Published: (2025)
by: Bagosher, Madyan, et al.
Published: (2025)
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
by: Nwadike, Munachiso, et al.
Published: (2024)
by: Nwadike, Munachiso, et al.
Published: (2024)
Predicting BWR Criticality with Data-Driven Machine Learning Model
by: Oktavian, Muhammad Rizki, et al.
Published: (2024)
by: Oktavian, Muhammad Rizki, et al.
Published: (2024)
Symbolic Regression for Beyond the Standard Model Physics
by: AbdusSalam, Shehu, et al.
Published: (2024)
by: AbdusSalam, Shehu, et al.
Published: (2024)
Composite Material Design for Optimized Fracture Toughness Using Machine Learning
by: Jahromi, Mohammad Naqizadeh, et al.
Published: (2024)
by: Jahromi, Mohammad Naqizadeh, et al.
Published: (2024)
OFMU: Optimization-Driven Framework for Machine Unlearning
by: Asif, Sadia, et al.
Published: (2025)
by: Asif, Sadia, et al.
Published: (2025)
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
by: Azad, Abdus Salam, et al.
Published: (2022)
by: Azad, Abdus Salam, et al.
Published: (2022)
Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction
by: Mohamed, Ahmed P., et al.
Published: (2024)
by: Mohamed, Ahmed P., et al.
Published: (2024)
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
by: Shumilov, Arseniy, et al.
Published: (2024)
by: Shumilov, Arseniy, et al.
Published: (2024)
Optimizing Flamelet Generated Manifold Models: A Machine Learning Performance Study
by: Navaei, Reza Lotfi, et al.
Published: (2025)
by: Navaei, Reza Lotfi, et al.
Published: (2025)
Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models
by: Shmuel, Assaf, et al.
Published: (2025)
by: Shmuel, Assaf, et al.
Published: (2025)
Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025)
by: Singh, Sandesh Kumar
Published: (2025)
Traffic Congestion Prediction Using Machine Learning Techniques
by: Yasir, Rafed Muhammad, et al.
Published: (2022)
by: Yasir, Rafed Muhammad, et al.
Published: (2022)
Diabetes Prediction and Management Using Machine Learning Approaches
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
End-to-End Data Quality-Driven Framework for Machine Learning in Production Environment
by: Bayram, Firas, et al.
Published: (2025)
by: Bayram, Firas, et al.
Published: (2025)
Combinatorial Optimization Augmented Machine Learning
by: Schiffer, Maximilian, et al.
Published: (2026)
by: Schiffer, Maximilian, et al.
Published: (2026)
Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert
by: Alipour-Vaezi, Mohammad, et al.
Published: (2024)
by: Alipour-Vaezi, Mohammad, et al.
Published: (2024)
Data-Driven Antenna Miniaturization: A Knowledge-Based System Integrating Quantum PSO and Predictive Machine Learning Models
by: Parvez, Khan Masood, et al.
Published: (2025)
by: Parvez, Khan Masood, et al.
Published: (2025)
Symbolic Regression and Differentiable Fits in Beyond the Standard Model Physics
by: AbdusSalam, Shehu, et al.
Published: (2025)
by: AbdusSalam, Shehu, et al.
Published: (2025)
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)
by: Hasan, Md. Nisharul
Published: (2025)
LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
by: Gajjar, Pranshav, et al.
Published: (2026)
by: Gajjar, Pranshav, et al.
Published: (2026)
Predicting Traffic Congestion at Urban Intersections Using Data-Driven Modeling
by: Kelly, Tara, et al.
Published: (2024)
by: Kelly, Tara, et al.
Published: (2024)
Goal-Driven Adaptive Sampling Strategies for Machine Learning Models Predicting Fields
by: Parekh, Jigar, et al.
Published: (2026)
by: Parekh, Jigar, et al.
Published: (2026)
Comparative Analysis of Stroke Prediction Models Using Machine Learning
by: Tashkova, Anastasija, et al.
Published: (2025)
by: Tashkova, Anastasija, et al.
Published: (2025)
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation
by: Alsafadi, Farah, et al.
Published: (2024)
by: Alsafadi, Farah, et al.
Published: (2024)
Optimizing Urban Critical Green Space Development Using Machine Learning
by: Ganjirad, Mohammad, et al.
Published: (2025)
by: Ganjirad, Mohammad, et al.
Published: (2025)
Optimizing In-Context Learning for Efficient Full Conformal Prediction
by: Deng, Weicao, et al.
Published: (2025)
by: Deng, Weicao, et al.
Published: (2025)
Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
by: Sangha, Amandip
Published: (2025)
by: Sangha, Amandip
Published: (2025)
Optimization-Augmented Machine Learning for Vehicle Operations in Emergency Medical Services
by: Rautenstrauß, Maximiliane, et al.
Published: (2025)
by: Rautenstrauß, Maximiliane, et al.
Published: (2025)
Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya
by: Bach, Jimmy, et al.
Published: (2026)
by: Bach, Jimmy, et al.
Published: (2026)
Predicting Startup Success Using Large Language Models: A Novel In-Context Learning Approach
by: Maarouf, Abdurahman, et al.
Published: (2026)
by: Maarouf, Abdurahman, et al.
Published: (2026)
Diabetes Prediction Using Machine Learning
by: GOKUL, BESTHA, et al.
Published: (2025)
by: GOKUL, BESTHA, et al.
Published: (2025)
Predicting The Cop Number Using Machine Learning
by: Mann, Meagan, et al.
Published: (2026)
by: Mann, Meagan, et al.
Published: (2026)
A Comprehensive Machine Learning Framework for Micromobility Demand Prediction
by: Porat, Omri, et al.
Published: (2025)
by: Porat, Omri, et al.
Published: (2025)
Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering
by: Vijayan, Naveen Edapurath
Published: (2025)
by: Vijayan, Naveen Edapurath
Published: (2025)
Regression Augmentation With Data-Driven Segmentation
by: Alahyari, Shayan, et al.
Published: (2025)
by: Alahyari, Shayan, et al.
Published: (2025)
An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Single-Cell Protein Production in Saccharomyces cerevisiae
by: Nair, Neha K., et al.
Published: (2026)
by: Nair, Neha K., et al.
Published: (2026)
Similar Items
-
In-Context Learning for Data-Driven Censored Inventory Control
by: Mukherjee, Sohom, et al.
Published: (2026) -
Machine Learning-Driven Crystal System Prediction for Perovskites Using Augmented X-ray Diffraction Data
by: Mathew, Ansu, et al.
Published: (2026) -
Data-Driven Prediction of Maternal Nutritional Status in Ethiopia Using Ensemble Machine Learning Models
by: Tessema, Amsalu, et al.
Published: (2025) -
A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
by: Bagosher, Madyan, et al.
Published: (2025) -
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
by: Nwadike, Munachiso, et al.
Published: (2024)