Catalogo Ricerca UNIPI

Catalogo Ricerca UNIPI: [242882] Home page macrotipologia

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1 Contributo su Rivista 142935
- N.D. 0
- 1.1 Articolo in rivista 132729
- 1.2 Recensione in rivista 3252
- 1.3 Scheda bibliografica 413
- 1.4 Nota a sentenza 1009
- 1.5 Abstract in rivista 5383
- 1.6 Traduzione in rivista 149

2 Contributo in Volume 34680
- 2.1 Contributo in volume (Capitolo o Saggio) 29743
- 2.2 Prefazione/Postfazione 887
- 2.3 Breve introduzione 523
- 2.4 Voce (in dizionario o enciclopedia) 2378
- 2.5 Traduzione in volume 290
- 2.6 Recensione in volume 38
- 2.7 Schede di catalogo 821

3 Libro 6758
- 3.1 Monografia o trattato scientifico 5876
- 3.2 Concordanza 11
- 3.3 Indice 20
- 3.4 Bibliografia 10
- 3.5 Edizione critica 186
- 3.6 Pubblicazione di fonti inedite 199
- 3.7 Commento scientifico 142
- 3.8 Traduzione di libro 314

4 Contributo in Atti di Convegno (Proceeding) 50158
- 4.1 Contributo in Atti di convegno 37063
- 4.2 Abstract in Atti di convegno 11332
- 4.3 Poster 1763

5 Altro 3898
- 5.01 Composizione 104
- 5.02 Disegno 19
- 5.03 Design 4
- 5.04 Performance 15
- 5.05 Esposizione 36
- 5.06 Mostra 61
- 5.07 Manufatto 4
- 5.08 Prototipo d'arte e relativi progetti 2
- 5.09 Cartografia 245
- 5.10 Banca dati 393
- 5.11 Software 111
- 5.12 Altro 2904

6 Brevetti 973
- 6.1 Brevetto 973

7 Curatele 3483
- 7.1 Curatela 3483

Prodotti recenti

Small Reals Representations for Deep Learning at the Edge: A Comparison

The pervasiveness of deep neural networks (DNNs) in edge devices enforces new requirements on information representation. Low precision formats from 16 bits down to 1 or 2 bits have been proposed in the last years. In this paper we aim to illustrate a general view of the possible approaches of optimizing neural networks for DNNs at the edge. In particular we focused on these key points: i) limited non-volatile storage ii) limited volatile memory iii) limited computational power. Further...

Cathepsin D interacts with adenosine A2A receptors in mouse macrophages to modulate cell surface localization and inflammatory signaling

Adenosine A2A receptor (A2AR)-dependent signaling in macrophages plays a key role in the regulation of inflammation. However, the processes regulating A2AR targeting to the cell surface and degradation in macrophages are incompletely understood. For example, the C-terminal domain of the A2AR and proteins interacting with it are known to regulate receptor recycling, although it is unclear what role potential A2AR-interacting partners have in macrophages. Here we aimed to identify A2AR interact...

Multi-Objective Lexicographic Mixed-Integer Linear Programming: an Infinity Computer Approach

In this chapter we show how a lexicographic multi-objective linear pro- gramming problem (LMOLP) can be transformed into an equivalent, single-objective one, by using the Grossone Methodology. Then we provide a simplex-like algorithm, called GrossSimplex, able to solve the original LMOLP problem using a single run of the algorithm (its theoretical correctness is also provided). In the second part, we tackle a Mixed-Integer Lexicographic Multi-Objective Linear Programming prob- lem (LMOM...

On the use of Grossone Methodology for Handling Priorities in Multi-Objective Evolutionary Optimization

This chapter introduces a new class of optimization problems, called Mixed Pareto-Lexicographic Multi-objective Optimization Problems (MPL-MOPs), to provide a suitable model for scenarios where some objectives have priority over some others. Specifically, this work focuses on two relevant subclasses of MPL-MOPs, namely optimization problems having the objective functions organized as emph{priority chains} or emph{priority levels}. A priority chain (PC) is a sequence of objectives ordered l...

Computing Optimal Decision Strategies using the Infinity Computer: the case of Non-Archimedean Zero-Sum Games

As is well known, zero-sum games are appropriate instruments for the analysis of several issues across areas including economics, international relations and engineering, among others. In particular, the Nash equilibria of any two-player finite zero-sum game in mixed-strategies can be found solving a proper linear programming problem. This chapter investigates and solves non-Archimedean zero-sum games, i.e., games satisfying the zero-sum property allowing the payoffs to be infinite, finite ...

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