Franze' giuseppe (23 risultati)

hardcover. Condizione: Good. Torn/worn dj. Good hardcover with some shelfwear; may have previous owner's name inside. Oversized.

Cartonato con sovracoperta. Fotografie ed illustrazioni in b/n e a colori n.t. e f.t. Numero di tavole: pp.280 altezza 0 larghezza 0 Esemplare in buone condizioni.Sovraccoperta con ingiallimento, macchie di polvere e segni di usura ai bordi e agli angoli. Angolo inferiore dell'aletta posteriore mancante.Tagli lievemente ingialliti e con tracce di polvere.Pagine leggermente ingiallite ai bordi.…

brossura Copertina flessibile. Condizione: Very Good. Copertina flessibile in buone condizioni presenta solo lievi segni d'uso ai margini, taglio regolare pulito, pagine pulite in ottime condizioni solo lievemente imbrunite, l'interno della copertina presenta una dedica a penna Copertina flessibile 319 Molto buono (Very Good) . Book.…

rilegato. Condizione: Fine. cvlCopertina rigida,volume in ottime condizioni,  illustrato, copertina in condizioni eccellenti, interno come nuovo, piccola sigla a penna sulla prima pagina 280 pagine circacopertina come da foto. Book.

brossura paperback. Condizione: Good. Condizione buona. Copertina con lievi segni d'uso ai margini e scritta a penna. Frontespizio, pagine di testo e tagli lievemente ingialliti. paperback 112 8873462995 Buono (Good) . Book.

Hardcover. Condizione: new. Hardcover. This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures.…

Condizione: New.

Hardcover. Condizione: Brand New. 150 pages. 9.26x6.11x9.49 inches. In Stock.

Hardcover. Dustjacket. 4°, leg.edit., sovrac., pp.285, ill. b.n. e col. n.t.

Hardcover. Dustjacket. 4°, leg.edit., sovrac., pp.285, ill. b.n. e col. n.t.

In-4, di pagg.280, sovrac. fig. Con ill. a colori e b./n. nel testo. S.D. Volume in buone condizioni. Sovracop. leggermente stanchi. Manca talloncino prezzo in aletta. Presente dedica di Lucchese Salati a penna.

rilegato. Condizione: Fine. 0. In 4, leg. in tela edit., sovrac. ill. a colori, pp. 280, numerose ill. a colori e in b/n n.t. e f.t. Ottime condizioni. Il volume il risultato di una ricerca condotta su documenti diretti ed inediti, trovati in archivi pubblici e privati ed in gran parte acquisiti in proprietdallo stesso Autore (che fu Prefetto di Parma e alla quale dedica il libro). La figura di Carlo III, Duca di Parma, emerge riabilitata, pipacata ed umana rispetto a quella diffusa dagli storici dell'800 come tiranno stravagante e superficiale e evidenzia come il Ducato intraprese iniziative di rilievo in concomitanza con le sopravvenute meraviglie della tecnica e le nuove invenzioni della scienza, rendendolo lungimirante verso quel progresso economico e sociale che fa di Parma una cittviva, civilissima e progredita. Luogo di pubblicazione ModenaEditore ArtioliMateria/Argomento Storia, Parma ***Books dated over 70 years old are not exportable, please do not order.***. Book.…

LEGATURA EDITORIALE RIGIDA CON SOVRACCOPERTINA RAPPRESENTANTE CARLO TERZO IN DIVISA. INTERNO CON MOLTISSIME IMMAGINI numero pagine: 280 formato: 30.5X22.2 stato conservazione: BUONO.

Print. An etching by Gaetano Silvani after a drawing by Giuseppe Franzè from La Reale Galleria di Torino illustrata da Roberto D'Azeglio. Image area measures roughly 25 x 18 cm. Plate measures 32 x 52 cm. Mild scattered foxing to edges. Very good+.; Folio.

Print. An etching by Tito Boselli after a drawing by Giuseppe Franzè from La Reale Galleria di Torino illustrata da Roberto D'Azeglio. Image area measures roughly 24 x 17 cm. Plate measures 32 x 52 cm. Mild scattered foxing to edges. Very good+.; Folio.

Print. An etching by Tito Boselli after a drawing by Giuseppe Franzè from La Reale Galleria di Torino illustrata da Roberto D'Azeglio. Image area measures roughly 20 x 17 cm. Plate measures 32 x 52 cm. Mild scattered foxing to edges. Very good+.; Folio.

giuseppe franze' franzè giuseppina pizzigoni e la scuola rinnovata NUOVO. 1967 .

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Addresses use of constrained control and machine learning within data-driven settings;Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems;Shows how combined constrained control and ML techniques can create efficient hybrid control architectures. 312 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 312 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.