Buchumschlag

Enhanced geometry prediction in laser directed energy deposition using meta-learning

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Saadi, Abdul Malik Al Mardhouf Al, Basak, Amrita
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Machine Learning Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Real-Time Thermal State Estimation and Forecasting in Laser Powder Bed Fusion
von: Pareek, Yukta, et al.
Veröffentlicht: (2025)

Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
von: Menon, Nandana, et al.
Veröffentlicht: (2024)

Multiscale Graph Neural Network for Turbulent Flow-Thermal Prediction Around a Complex-Shaped Pin-Fin
von: Raut, Riddhiman, et al.
Veröffentlicht: (2025)

Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction
von: Nwafor, Obumneme, et al.
Veröffentlicht: (2025)

Validity-Calibrated Reasoning Distillation
von: Saadi, Khouloud, et al.
Veröffentlicht: (2026)

Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman
von: Nwafor, Obumneme Zimuzor, et al.
Veröffentlicht: (2025)

Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
von: Benítez-Andrades, José Alberto, et al.
Veröffentlicht: (2025)

Accelerating AI Performance using Anderson Extrapolation on GPUs
von: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Veröffentlicht: (2024)

NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
von: Machot, Fadi Al, et al.
Veröffentlicht: (2025)

PROTECT: Protein circadian time prediction using unsupervised learning
von: Ogholbake, Aram Ansary, et al.
Veröffentlicht: (2025)

Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
von: Khan, Salman, et al.
Veröffentlicht: (2026)

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
von: Al-Batah, Mohammad Subhi, et al.
Veröffentlicht: (2025)

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
von: Singh, Geethen, et al.
Veröffentlicht: (2024)

Coordinate Heart System: A Geometric Framework for Emotion Representation
von: Al-Desi, Omar
Veröffentlicht: (2025)

Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Transformer Models
von: Al-Zuraiqi, Ahmad
Veröffentlicht: (2026)

Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
von: Al-Batah, Mohammad Subhi, et al.
Veröffentlicht: (2025)

Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region
von: Khan, Muhammad Al-Zafar, et al.
Veröffentlicht: (2024)

The geometry of invariant learning: an information-theoretic analysis of data augmentation and generalization
von: Bouyahia, Abdelali, et al.
Veröffentlicht: (2026)

Well log data generation and imputation using sequence-based generative adversarial networks
von: Al-Fakih, Abdulrahman, et al.
Veröffentlicht: (2024)

Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
von: Alqaraleh, Muhyeeddin, et al.
Veröffentlicht: (2025)

Multiplicative learning from observation-prediction ratios
von: Kim, Han, et al.
Veröffentlicht: (2025)

A Binary Classification Social Network Dataset for Graph Machine Learning
von: Ali, Adnan, et al.
Veröffentlicht: (2025)

Learning long term climate-resilient transport adaptation pathways under direct and indirect flood impacts using reinforcement learning
von: Costa, Miguel, et al.
Veröffentlicht: (2026)

Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs
von: Marzidovšek, Martin, et al.
Veröffentlicht: (2024)

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
von: Azad, Tarhib Al, et al.
Veröffentlicht: (2025)

TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
von: Olaimat, Mohammad Al, et al.
Veröffentlicht: (2024)

Multi-view diffusion geometry using intertwined diffusion trajectories
von: Debaussart-Joniec, Gwendal, et al.
Veröffentlicht: (2025)

A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
von: Bagosher, Madyan, et al.
Veröffentlicht: (2025)

A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
von: Raihan, Mohon, et al.
Veröffentlicht: (2025)

Achieving Optimal Tissue Repair Through MARL with Reward Shaping and Curriculum Learning
von: Khan, Muhammad Al-Zafar, et al.
Veröffentlicht: (2025)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
von: Nirmal, Ayushi, et al.
Veröffentlicht: (2024)

Dynamic feature selection in medical predictive monitoring by reinforcement learning
von: Chen, Yutong, et al.
Veröffentlicht: (2024)

The surprising efficiency of temporal difference learning for rare event prediction
von: Cheng, Xiaoou, et al.
Veröffentlicht: (2024)

PHANTOM: Progressive High-fidelity Adversarial Network for Threat Object Modeling
von: Al-Karaki, Jamal, et al.
Veröffentlicht: (2025)

Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation
von: Malik, Gitesh
Veröffentlicht: (2026)

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
von: Goldenits, Georg, et al.
Veröffentlicht: (2024)

Implicit meta-learning may lead language models to trust more reliable sources
von: Krasheninnikov, Dmitrii, et al.
Veröffentlicht: (2023)

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
von: Kabir, Md Ahsanul, et al.
Veröffentlicht: (2024)

SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations
von: van Dreven, Jonne, et al.
Veröffentlicht: (2024)

Evaluating machine learning models for predicting pesticide toxicity to honey bees
von: Adamczyk, Jakub, et al.
Veröffentlicht: (2025)