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João Gama

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

248

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Ai Effect on Innovation Capacity in the Context of Industry 5.0: An Explanatory Study

Number of pages: 29 Posted: 10 Jan 2024
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 89 (747,755)

Abstract:

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Artificial intelligence, Innovation Management, Industry 5.0, Smart Manufacturing, collaborative robotics, Innovation Policy

2.

Swinn: Efficient Nearest Neighbor Search in Sliding Windows Using Graphs

Number of pages: 40 Posted: 03 Dec 2022
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP) and affiliation not provided to SSRN
Downloads 81 (796,622)

Abstract:

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Nearest neighbor search, sliding window, FIFO, proximity query, Graph

Ai Effect on Innovation Capacity in the Context of Industry 5.0: A Qualitative Study

Number of pages: 41 Posted: 27 Jul 2025
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 47 (1,157,169)

Abstract:

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Industry 5.0, Artificial Intelligence, Manufacturing Strategy, Innovation Capacity

Ai Effect on Innovation Capacity in the Context of Industry 5.0: A Qualitative Study

Number of pages: 41 Posted: 13 Jul 2025
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 22 (1,473,203)

Abstract:

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Industry 5.0, Artificial Intelligence, Manufacturing Strategy, Innovation Capacity

4.

'From Apophatic Interpretability to Accountable Explainability: A Layered Governance Architecture for Structural Opacity in Explainable AI

Number of pages: 28 Posted: 15 May 2026
University of Granada, affiliation not provided to SSRN, University of Granada, University of Jaén, Cornell University and University of Oviedo
Downloads 9 (1,561,096)

Abstract:

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Explainable AI (XAI), structural opacity, apophatic interpretability, accountable explainability, AI governance \sep epistemic limits, Trustworthy AI