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- Istituto Nazionale di Fisica Nucleare, Sezione di CataniaIT230 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT179 papers
- Centre National de la Recherche ScientifiqueFR160 papers
- Polytechnic University of BariIT160 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BariIT142 papers
- European Organization for Nuclear ResearchCH139 papers
- National Centre for Nuclear ResearchPL137 papers
- Horia Hulubei National Institute for R and D in Physics and Nuclear EngineeringRO135 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT132 papers
- Université Paris-SaclayFR132 papers
- University of CopenhagenDK132 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR131 papers
759 papers
Improving BLE-Based Passive Human Sensing with Deep Learning
Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita
Passive Human Sensing (PHS) is an approach to collecting data on human presence, motion or activities that does not require the sensed human to carry devices or participate activel…
Extended Bose-Hubbard Model on Small Grids: Exact Diagonalization and Monte Carlo Studies
Gabriele Costa, Matteo Ciardi, Fabio Cinti +1
The superfluid-insulator transition in systems of lattice bosons is usually analyzed in the framework of the Bose-Hubbard model, and has been extensively studied by theory and simu…
A CMOS-compatible, scalable and compact magnetoelectric spin-torque microwave detector
Shuhui Liu, Riccardo Tomasello, Bin Fang +10
The development of compact and highly sensitive microwave detectors compatible with complementary-metal-oxide-semiconductor (CMOS) processes is an active research area but remains…
Remotely programming the weights of a spintronic neural network by a radiofrequency broadcast signal
M. Menshawy, D. Sanz-Hernández, L. Mazza +7
Selectively programming large number of non-volatile synaptic weights without compromising scalability is a key challenge for in-memory computing. Here, we demonstrate remote progr…
Knowledge Graphs-Driven Intelligence for Distributed Decision Systems
Rosario Napoli, Gabriele Morabito, Antonio Celesti +2
Modern distributed decision-making systems face significant challenges arising from data heterogeneity, dynamic environments, and the need for decentralized coordination. This pape…
How to evaluate NoSQL Database Paradigms for Knowledge Graph Processing
Rosario Napoli, Antonio Celesti, Massimo Villari +1
Knowledge Graph (KG) processing faces critical infrastructure challenges in selecting optimal NoSQL database paradigms, as traditional performance evaluations rely on static benchm…