|
|
|
Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m...
ver más
|
|
|
|
|
|
Wenqi Gao, Ninghua Chen, Jianyu Chen, Bowen Gao, Yaochen Xu, Xuhua Weng and Xinhao Jiang
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other r...
ver más
|
|
|
|
|
|
Md. Jahangir Sarker, Pallab Kumer Sarker, Md. Ariful Islam, Nazmun Naher Rima, Thadickal Viswanathan Joydas, Nahid Sultana, Md. Monirul Islam, Md. Yeamin Hossain and Mohammad Belal Hossain
Certain benthic polychaetes, such as species within the genus Namalycastis, are employed in the diet of gravid shrimps in aquaculture due to their amino acids and highly unsaturated fatty acid content, enhancing the quality of gravid shrimp. Despite its ...
ver más
|
|
|
|
|
|
Md Momin Al Aziz, Md Toufique Morshed Tamal and Noman Mohammed
Fully homomorphic encryption (FHE) cryptographic systems enable limitless computations over encrypted data, providing solutions to many of today?s data security problems. While effective FHE platforms can address modern data security concerns in unsecure...
ver más
|
|
|
|
|
|
Fotis Nikolaidis, Moysis Symeonides and Demetris Trihinas
Federated learning (FL) is a transformative approach to Machine Learning that enables the training of a shared model without transferring private data to a central location. This decentralized training paradigm has found particular applicability in edge ...
ver más
|
|
|