Metodi di fattorizzazione per gli interi. Tesi di laurea / laureanda Alessia Bianco; relat. Mauro Biliotti

• Record Nr.: UNISALENTO991003118459707536
• Autore: Bianco, Alessia
• Pubbl/distr/stampa: Lecce : Università degli Studi di Lecce. Facoltà di Scienze MM. FF. NN. Corso di laurea in Matematica, a.a. 2005-06
• Descrizione fisica: 130 p. ; 29 cm
• Classificazione: AMS 11A51; AMS 94A60
• Altri autori (Persone): Biliotti, Mauro
• Soggetti: Elementary number theory
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Über lernende optische Inspektion am Beispiel der Schüttgutsortierung

• Record Nr.: UNINA9910346950603321
• Autore: Richter Matthias
• Pubbl/distr/stampa: KIT Scientific Publishing, 2018
• ISBN: 1000085620
• Descrizione fisica: 1 online resource (XVI, 283 p. p.)
• Collana: Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
• Lingua di pubblicazione: Tedesco
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: Automated visual inspection is an integral part in industrial manufacturing processes, but development and setup of such systems is very costly. Machine learning significantly reduces the effort of and ; speeds up both tasks. This work develops several machine learning methods suitable for automated visual inspection. The methods augment each other and can be used for a wide range of products.

Biofuels Production and Processing Technology

• Record Nr.: UNINA9910595067503321
• Autore: Tropea Alessia
• Pubbl/distr/stampa: Basel, 2022
• Descrizione fisica: 1 online resource (250 p.)
• Soggetti: Biotechnology; Technology: general issues
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: The negative impacts of global warming and global environmental pollution due to fossil fuels mean that the main challenge of modern society is finding alternatives to conventional fuels. In this scenario, biofuels derived from renewable biomass represent the most promising renewable energy sources. Depending on the biomass used by the fermentation technologies, it is possible to obtain first-generation biofuels produced from food crops, second-generation biofuels produced from non-food feedstock, mainly starting from renewable lignocellulosic biomasses, and third-generation biofuels, represented by algae or food waste biomass.Although biofuels appear to be the closest alternative to fossil fuels, it is necessary for them to be produced in competitive quantities and costs, requiring both improvements to production technologies and the diversification of feedstock. This Special Issue is focused on technological innovations, including the utilization of different feedstocks, with a particular focus on biethanol production from food waste; different biomass pretreatments; fermentation strategies, such as simultaneous ; saccharification and fermentation (SSF) or separate hydrolysis and fermentation (SHF); different applied microorganisms used as a monoculture or co-culture; and different setups for biofuel fermentation processes.The manuscripts collected represent a great opportunity for adding new knowledge to the scientific community as well as industry.