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A Predictive Framework for Informing Hot Isostatic Pressing of Additively Manufactured Niobium: Connecting Process, Microstructure, and Strength
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Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling
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Correction: Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling
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Application of Crude Extract of Hibiscus sabdariffa as Stain for Bacterial Cells
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Mechatronics as Design Philosophy to Inspire Engineering Innovations
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Generative AI for Sustainable Product Design: A Technology Convergence Framework Integrating Multi‐Objective Optimisation and Smart Manufacturing
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Barriers, motivators and guidelines for remanufacturing of medical equipment to improve healthcare services in Nigeria: qualitative approach
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Can Electro-Mechanical Stress Enable Effective Majority Logic Implementations?
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Reinforcement Learning‐Assisted Meta‐Heuristics for Scheduling Job Shops With Material Handling Robots
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Development of a Digital Twin for a Bakery Line With Predictive Analytics and Adaptive Control Functions
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From Digital Twins to Immersive Manufacturing: XR and Gesture‐Based Control for Enhancing Human–Robot Collaboration
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An Integrated Computational Materials Engineering (ICME) Approach to Design Nonlinear Transition Zones Between Dissimilar Metals
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Revolutionizing Scientific Figure Decoding: Benchmarking LLM Data Extraction Performance
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Temperature-Dependent Material Property Database for Nickel-Aluminum Bronze (NAB) Wire-Arc Additive Components
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Computationally Efficient Prediction of Molten Pool Size in Multi-track Laser Melting via Surrogate Modeling
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Grain Structure Formation and Processability Windows in Laser Powder Bed Fusion-Processed BiTe
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Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems
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Milling tool wear state classification and prediction using machine learning, homogeneous and heterogeneous ensemble learning approach
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The Performance, Feasibility, and Sustainability-Based Framework for Biomaterial Recommendation System for Packaging
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Mining Multimodal Fatigue Data Using Reasoning Foundation Models and Formalized Domain Knowledge
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CrysText: A Generative AI Approach for Text-Conditioned Crystal Structure Generation Using LLM
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Failure analysis and remanufacturing techniques in drilling and crushing equipment in mining industries: a review