Paulo Joaquim Antunes Vaz

Professor Adjunto

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

Portugal

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About

Paulo Joaquim Antunes Vaz is an Adjunto Professor at Instituto Politécnico de Viseu Escola Superior de Tecnologia e Gestão de Viseu in Portugal. His research areas encompass sustainable mobility, post-quantum cryptography, data cleaning and preprocessing tools, and additive manufacturing techniques. Additionally, he has explored topics in real-time gesture detection, solar energy efficiency, deepfake detection, and machine learning applications in agriculture and immersive technologies.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

Collaborators (4)

Marco Bernardo

Professor Adjunto

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

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Daniel Hernánde de la Iglesia

Universidad de Salamanca

SPAIN

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Alfonso José López-Rivero

Profesor

Universidad de Salamanca

SPAIN

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Sónia Gouveia

Polytechnic Institute of Viseu

PORTUGAL

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Paulo Joaquim Antunes Vaz

Research Interests

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About

Articles (10)

Fleet Renewal and Sustainable Mobility: A Strategic Management Perspective for SMEs

A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments

Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets

Head-to-Head Evaluation of FDM and SLA in Additive Manufacturing: Performance, Cost, and Environmental Perspectives

Real-Time Gesture-Based Hand Landmark Detection for Optimized Mobile Photo Capture and Synchronization

A Case Study of a Solar Oven’s Efficiency: An Experimental Approach

Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization, and Resilience to Adversarial Attacks

Machine Learning Approaches for Predicting Maize Biomass Yield: Leveraging Feature Engineering and Comprehensive Data Integration

Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study

Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions

Collaborators (4)

Marco Bernardo

Daniel Hernánde de la Iglesia

Alfonso José López-Rivero

Sónia Gouveia

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