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A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning.

, , , , , , , , и . IJCNN, стр. 1-8. IEEE, (2020)

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Gil dos Santos Guerreiro João

João Barros

João Fonseca

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João Matos

 

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Cooperative Target Observation using Density-based Clustering with Self-tuning and a New Grid Environment., , , , и . CLEI, стр. 33-38. IEEE, (2020)Acelerando a identificação de impressões digitais através da técnica de offloading computacional., , , , , и . SBRC, стр. 29-42. (2021)Deep Convolutional Features for Fingerprint Indexing., , , , и . BRACIS (2), том 13074 из Lecture Notes in Computer Science, стр. 223-237. Springer, (2021)Fuzzy Logic Applied to eHealth Supported by a Multi-Agent System., , , , и . NAFIPS, том 831 из Communications in Computer and Information Science, стр. 61-71. Springer, (2018)Dog Face Recognition Using Deep Features Embeddings., , , , и . BRACIS (2), том 14196 из Lecture Notes in Computer Science, стр. 125-139. Springer, (2023)A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning., , , , , , , , и . IJCNN, стр. 1-8. IEEE, (2020)Cooperative Observation of Smart Target Agents., , , , , , , и . BRACIS (2), том 12320 из Lecture Notes in Computer Science, стр. 77-92. Springer, (2020)Accelerating Fingerprint-based Person Identification through Computation Offloading in Edge and Cloud Environments., , , , и . CloudNet, стр. 153-160. IEEE, (2023)A Multi-agent System Using Fuzzy Logic Applied to eHealth., , , , и . ISAmI, том 806 из Advances in Intelligent Systems and Computing, стр. 216-223. Springer, (2018)Organization/fuzzy Approach to the CTO Problem., , , , и . BRACIS, стр. 444-449. IEEE Computer Society, (2018)