Temperature-Dependent Material Property Database for Nickel-Aluminum Bronze (NAB) Wire-Arc Additive Components

Subjects: “…Manufacturing and Technology…”
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An Integrated Computational Materials Engineering (ICME) Approach to Design Nonlinear Transition Zones Between Dissimilar Metals

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Systematically Verified Experimental Thermoelectric Dataset For Data-driven Approaches

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pyTriBeam: Open-Source Software for Enhanced 3D Data Collection in TriBeam Microscopes

Subjects: “…Manufacturing and Technology…”
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Physics-Informed Deep Learning for Bearing Remaining Useful Life: Adaptive Paris-Law Regularization with Gaussian Processes

Subjects: “…Manufacturing and Technology…”
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Temperature-Dependent Material Property Database for 90/10 Cu-Ni Plate

Subjects: “…Manufacturing and Technology…”
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Enhancing Finite Element Simulations of 3D-Printed PLA Using Physics-Informed Neural Networks: Validation Through Experimental Tensile Testing and Benchmark Comparisons

Subjects: “…Manufacturing and Technology…”
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Machine Learning Statistical Ultrasonic Non-destructive Prediction for Friction Stir Processed Metal

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Evaluating Thermodynamics-Based Hot-Cracking Models for Various AM Alloys

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Hybrid Pellet–Filament Co-extrusion for Customizing Flexibility and Strength in 3D-Printed Parts

Subjects: “…Manufacturing and Technology…”
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Quantifying Microstructure Variability in Laser Powder Bed Fusion 316 L Stainless Steel Microstructures with Spatial Statistics

Subjects: “…Manufacturing and Technology…”
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PERCEPTIONS OF HIGHER EDUCATION INSTITUTIONS IMPACT ON DIFFERENT DIMENSIONS OF QUALITY OF LIFE AND RESIDENTS’ OVERALL LIFE SATISFACTION

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IMPROVING QUALITY THROUGH INNOVATIONS: THE ROLE OF VENTURE FINANCING AND HR SUPPORT

Subjects: “…Manufacturing and Technology…”
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SMART E-HEALTH: THE BENEFITS OF ENHANCING THE AWARENESS AND BEHAVIOR OF SOLUTIONIST TECHNOLOGY USE

Subjects: “…Manufacturing and Technology…”
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TRUST IN INFLUENCERS - USING SEVQUAL TO ACHIEVE THE EFFECT OF MANAGING THE HATE MECHANISM

Subjects: “…Manufacturing and Technology…”
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING

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CO-CREATION: WHY COOPERATION BETWEEN HEIS AND COMPANIES IS A PEDAGOGICAL TOOL IN TEACHING-LEARNING KNOWLEDGE TRANSFER PROCESSES – A CASE STUDY OF UNIVERSITY POLYTECHNIC OF PORTO

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FOSTERING CREATIVITY IN STUDENTS VIA MATHEMATICAL LEARNING

Subjects: “…Manufacturing and Technology…”
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OPTIMAL MATERIAL PARAMETERS CHOICE FOR COMPOSITE SHAFTS MANUFACTURING

Subjects: “…Manufacturing and Technology…”
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ENHANCING PROJECT QUALITY THROUGH EFFECTIVE REQUIREMENTS MANAGEMENT

Subjects: “…Manufacturing and Technology…”
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