Search Results - "Zangaro, Francesco"

Fish Communities and Management Challenges in Three Ageing Tropical Reservoirs in Southwestern Nigeria.

Authors: Julius, Olumide Temitope Zangaro, Francesco Massaro, Roberto et al.

Source: Limnological Review (MDPI). Mar2026, Vol. 26 Issue 1, p2. 18p.

Applying Artificial Intelligence (AI) Innovative Tools for Ecological Research and Monitoring of Transitional Water Ecosystems: A Systematic Review.

Authors: Cazzetta, Armando Zangaro, Francesco Marcucci, Francesca et al.

Source: Environments (2076-3298). Apr2026, Vol. 13 Issue 4, p193. 71p.

Investigating invasion patterns of Callinectes sapidus and the relation with research effort and climate change in the Mediterranean Sea.

Authors: Shauer, Mahallelah Zangaro, Francesco Specchia, Valeria et al.

Source: Scientific Reports. 10/7/2025, Vol. 15 Issue 1, p1-14. 14p.

eDNA metabarcoding for qualitative and semi-quantitative assessment of phytoplankton towards eco-sustainable mariculture in the Mediterranean Sea.

Authors: Zangaro, Francesco Vadrucci, Maria Rosaria Ismailaj, Mariola et al.

Source: Frontiers in Marine Science; 2025, p1-14, 14p

Gaps in Bioinvasion Phenomenon Studies: The First Occurrence of Serejohyale spinidactyloides (Schellenberg, 1939) (Crustacea: Amphipoda) in the Mediterranean Sea Raises Some Issues on the Taxonomic Identifications Within the Genus.

Authors: Iaciofano, Davide Martino, Caterina Sarà, Gianluca et al.

Source: Journal of Zoological Systematics & Evolutionary Research. 4/28/2026, Vol. 2026, p1-10. 10p.

Environmental DNA detects biodiversity and ecological features of phytoplankton communities in Mediterranean transitional waters.

Authors: Specchia, Valeria Zangaro, Francesco Tzafesta, Eftychia et al.

Source: Scientific Reports. 9/14/2023, Vol. 13 Issue 1, p1-8. 8p.

Environmental DNA as Early Warning for Alien Species in Mediterranean Coastal Lagoons: Implications for Conservation and Management.

Authors: Zangaro, Francesco Pinna, Maurizio Specchia, Valeria

Source: Diversity (14242818). Sep2024, Vol. 16 Issue 9, p525. 12p.

Assessing benthic macroinvertebrate communities' spatial heterogeneity in Mediterranean transitional waters through eDNA metabarcoding.

Authors: Pinna, Maurizio Zangaro, Francesco Specchia, Valeria

Source: Scientific Reports. 8/2/2024, Vol. 14 Issue 1, p1-9. 9p.

An Overview of Ecological Indicators of Fish to Evaluate the Anthropogenic Pressures in Aquatic Ecosystems: From Traditional to Innovative DNA-Based Approaches.

Authors: Pinna, Maurizio Zangaro, Francesco Saccomanno, Benedetta et al.

Source: Water (20734441). Mar2023, Vol. 15 Issue 5, p949. 21p.

The multi-manned joint assembly line balancing and feeding problem.

Authors: Zangaro, Francesco Minner, Stefan Battini, Daria

Source: International Journal of Production Research. Aug2023, Vol. 61 Issue 16, p5543-5565. 23p. 5 Diagrams, 6 Charts, 3 Graphs.

Subjects: Assembly line balancing, Mixed integer linear programming, Assembly line methods, Cost control, Animal feeds

A supervised machine learning approach for the optimisation of the assembly line feeding mode selection.

Authors: Zangaro, Francesco Minner, Stefan Battini, Daria

Source: International Journal of Production Research. Aug2021, Vol. 59 Issue 16, p4881-4902. 22p. 4 Diagrams, 9 Charts, 4 Graphs.

Subjects: Supervised learning, Assembly line methods, Decision trees, Problem solving, Timberline

Current limitations and future prospects of detection and biomonitoring of NIS in the Mediterranean Sea through environmental DNA.

Authors: Zangaro, Francesco Saccomanno, Benedetta Tzafesta, Eftychia et al.

Source: NeoBiota. 11/16/2021, Issue 70, p151-165. 15p.

A scaling down mapping of Pinna nobilis (Linnaeus, 1758) through the combination of scientific literature, NATURA 2000, grey literature and citizen science data.

Authors: Marrocco, Vanessa Zangaro, Francesco Sicuro, Alessandro et al.

Source: Nature Conservation. 2019, Issue 33, p21-31. 11p.

Machine learning in manufacturing and industry 4.0 applications.

Authors: Rai, Rahul Tiwari, Manoj Kumar Ivanov, Dmitry et al.

Source: International Journal of Production Research. Aug2021, Vol. 59 Issue 16, p4773-4778. 6p. 2 Diagrams.

Subjects: Machine learning, Decision support systems, Manufacturing industries, Supply chain management, Edge computing, Intelligent sensors

An Overview of DNA-Based Applications for the Assessment of Benthic Macroinvertebrates Biodiversity in Mediterranean Aquatic Ecosystems.

Authors: Tzafesta, Eftychia Zangaro, Francesco Specchia, Valeria et al.

Source: Diversity (14242818). Mar2021, Vol. 13 Issue 3, p112. 1p.

Model and heuristics for the multi-manned assembly line worker integration and balancing problem.

Authors: Michels, Adalberto Sato Costa, Alysson M.

Source: International Journal of Production Research. Dec2024, Vol. 62 Issue 24, p8719-8744. 26p.

Subjects: Assembly line balancing, Assembly line methods, Linear programming, Manufacturing industries, Labor supply

A graph-based approach for integrating massive data in container terminals with application to scheduling problem.

Authors: Liu, Suri Wang, Wenyuan Zhong, Shaopeng et al.

Source: International Journal of Production Research. Aug2024, Vol. 62 Issue 16, p5945-5965. 21p.

Subjects: Container terminals, Knowledge graphs, Reinforcement learning, Cranes (Machinery), Internet of things

Security in modern manufacturing systems: integrating blockchain in artificial intelligence-assisted manufacturing.

Authors: Patel, Dhruv Sahu, Chandan Kumar Rai, Rahul

Source: International Journal of Production Research. Feb2024, Vol. 62 Issue 3, p1041-1071. 31p.

Subjects: Manufacturing processes, Blockchains, Artificial intelligence, Product counterfeiting, Consumer ethics

First record of the protected species Pinna nobilis (Linnaeus, 1758) in the Aquatina Lagoon (NATURA 2000 site IT9150003, South-East Italian coastline).

Authors: Marrocco, Vanessa Sicuro, Alessandro Zangaro, Francesco et al.

Source: Nature Conservation. 2018, Issue 28, p51-59. 9p.

Application of machine learning techniques for cost estimation of engineer to order products.

Authors: Rapaccini, Mario Cadonna, Veronica Loew Leoni, Leonardo et al.

Source: International Journal of Production Research. Oct2023, Vol. 61 Issue 20, p6978-7000. 23p. 3 Diagrams, 7 Charts, 5 Graphs.

Subjects: Engineers, Machine learning, Feature selection, Solid dosage forms, Engineering, Cost