| Nome |
# |
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GIS-Based Optimal Photovoltaic Panel Floorplanning for Residential Installations, file e384c42f-dc80-d4b2-e053-9f05fe0a1d67
|
329
|
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IP-XACT for Smart Systems Design: Extensions for the Integration of Functional and Extra-Functional Models, file e384c431-c3f3-d4b2-e053-9f05fe0a1d67
|
222
|
|
A Compact PV Panel Model for Cyber-Physical Systems in Smart Cities, file e384c430-34b4-d4b2-e053-9f05fe0a1d67
|
185
|
|
Integration of mixed-signal components into virtual platforms for holistic simulation of smart systems, file e384c431-b0d1-d4b2-e053-9f05fe0a1d67
|
153
|
|
Analog Models Manipulation for Effective Integration in Smart System Virtual Platforms, file e384c431-b0d0-d4b2-e053-9f05fe0a1d67
|
145
|
|
Code Manipulation for Virtual Platform Integration, file e384c431-b2f0-d4b2-e053-9f05fe0a1d67
|
133
|
|
Conservative Behavioural Modelling in SystemC-AMS, file e384c431-c3e4-d4b2-e053-9f05fe0a1d67
|
132
|
|
A Unifying Flow to Ease Smart Systems Integration, file e384c431-c3e1-d4b2-e053-9f05fe0a1d67
|
124
|
|
A Methodology to Recover RTL IP Functionality for Automatic Generation of SW Applications, file e384c431-b0d5-d4b2-e053-9f05fe0a1d67
|
116
|
|
Fast thermal simulation using SystemC-AMS, file e384c431-b2f3-d4b2-e053-9f05fe0a1d67
|
108
|
|
A unified model of power sources for the simulation of electrical energy systems, file e384c431-c3ee-d4b2-e053-9f05fe0a1d67
|
100
|
|
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis, file e384c432-2d38-d4b2-e053-9f05fe0a1d67
|
89
|
|
CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties, file e384c431-b18f-d4b2-e053-9f05fe0a1d67
|
82
|
|
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions, file e384c432-e262-d4b2-e053-9f05fe0a1d67
|
75
|
|
Modeling and Simulation of Cyber-Physical Electrical Energy Systems with SystemC-AMS, file e384c431-d2c1-d4b2-e053-9f05fe0a1d67
|
65
|
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Design of District-level Photovoltaic Installations for Optimal Power Production and Economic Benefit, file e384c434-13f0-d4b2-e053-9f05fe0a1d67
|
47
|
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Input-dependent edge-cloud mapping of recurrent neural networks inference, file e384c432-c6fa-d4b2-e053-9f05fe0a1d67
|
46
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|
A Microservices-based Framework for Smart Design and Optimization of PV Installations, file e384c432-3d5d-d4b2-e053-9f05fe0a1d67
|
44
|
|
A Layered Methodology for the Simulation of Extra-Functional Properties in Smart Systems, file e384c431-a012-d4b2-e053-9f05fe0a1d67
|
42
|
|
SystemC-AMS Simulation of Energy Management of Electric Vehicles, file e384c431-b185-d4b2-e053-9f05fe0a1d67
|
37
|
|
SystemC-AMS thermal modeling for the co-simulation of functional and extra-functional properties, file e384c431-9dba-d4b2-e053-9f05fe0a1d67
|
35
|
|
Electric Vehicles Plug-In Duration Forecasting Using Machine Learning for Battery Optimization, file e384c432-3bf9-d4b2-e053-9f05fe0a1d67
|
33
|
|
The importance of accurate battery models for power assessment in smart energy systems, file e384c432-5b79-d4b2-e053-9f05fe0a1d67
|
31
|
|
A Cross-Level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors, file e384c431-a186-d4b2-e053-9f05fe0a1d67
|
28
|
|
Design Domains and Abstraction Levels for Effective Smart System Simulation, file e384c431-af76-d4b2-e053-9f05fe0a1d67
|
26
|
|
Cost-aware design and simulation of electrical energy systems, file e384c432-806b-d4b2-e053-9f05fe0a1d67
|
26
|
|
Languages, Design Methods, and Tools for Electronic System Design, file e384c430-5a5b-d4b2-e053-9f05fe0a1d67
|
25
|
|
Translation, Abstraction and Integration for Effective Smart System Design, file e384c431-b641-d4b2-e053-9f05fe0a1d67
|
25
|
|
A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles, file e384c431-c2b8-d4b2-e053-9f05fe0a1d67
|
25
|
|
SystemC-AMS Simulation of Conservative Behavioral Descriptions, file e384c431-7870-d4b2-e053-9f05fe0a1d67
|
18
|
|
Irradiance-Driven Partial Reconfiguration of PV Panels, file e384c431-c1ec-d4b2-e053-9f05fe0a1d67
|
17
|
|
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling, file e384c434-d214-d4b2-e053-9f05fe0a1d67
|
17
|
|
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch, file e384c431-b184-d4b2-e053-9f05fe0a1d67
|
15
|
|
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring, file e384c434-248c-d4b2-e053-9f05fe0a1d67
|
12
|
|
Optimal Topology-Aware PV Panel Floorplanning with Hybrid Orientation, file e384c431-7739-d4b2-e053-9f05fe0a1d67
|
10
|
|
Low-overhead power trace obfuscation for smart meter privacy, file e384c431-a71e-d4b2-e053-9f05fe0a1d67
|
10
|
|
Preface, file e384c431-a013-d4b2-e053-9f05fe0a1d67
|
6
|
|
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing, file 539d9174-272d-4beb-84dd-c246f3aede9c
|
5
|
|
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions, file e384c433-0145-d4b2-e053-9f05fe0a1d67
|
5
|
|
Digital Twins for Electric Vehicle SoX Battery Modeling: Status and Proposed Advancements, file 9e11550e-6aa5-4eaf-98ff-3b2438e41a6b
|
4
|
|
Modeling Cyber-Physical Production Systems with SystemC-AMS, file d35401d7-d8ae-46b4-a51d-6cd31fd86803
|
4
|
|
Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning, file e0d6abf3-a395-4891-a76e-9467befc2032
|
4
|
|
Translation, Abstraction and Integration for Effective Smart System Design, file e384c431-a016-d4b2-e053-9f05fe0a1d67
|
4
|
|
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0, file 5228ba51-d54e-4536-84b6-a540541d0a75
|
3
|
|
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring, file 82de108a-926f-465f-abc1-f98ab6695462
|
3
|
|
Model-Driven Dataset Generation for Data-Driven Battery SOH Models, file afd28244-cc46-4280-916c-b2fadacd60d5
|
3
|
|
Thermal Digital Twin of a Multi-Domain System for Discovering Mechanical Faulty Behaviors, file d1d52987-a700-4af1-a6ad-894831676ca9
|
3
|
|
Low-overhead power trace obfuscation for smart meter privacy, file e384c431-845e-d4b2-e053-9f05fe0a1d67
|
3
|
|
A Layered Methodology for the Simulation of Extra-Functional Properties in Smart Systems, file e384c431-9401-d4b2-e053-9f05fe0a1d67
|
3
|
|
SystemC-AMS Simulation of Conservative Behavioral Descriptions, file e384c431-a17d-d4b2-e053-9f05fe0a1d67
|
3
|
|
Irradiance-Driven Partial Reconfiguration of PV Panels, file e384c431-cb69-d4b2-e053-9f05fe0a1d67
|
3
|
|
Modeling and Simulation of Cyber-Physical Electrical Energy Systems with SystemC-AMS, file e384c432-db1f-d4b2-e053-9f05fe0a1d67
|
3
|
|
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line, file 34051fde-1055-4ee9-8fa4-fd6fea1829c1
|
2
|
|
Digital Twin Extension with Extra-Functional Properties, file 449a2124-76d0-4d4f-864f-70dfbd42b950
|
2
|
|
A Framework for Economic and Environmental Benefit Through Renewable Energy Community, file 4cf34f11-d05e-414b-bc01-0845237d4f5b
|
2
|
|
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0, file 5e92a931-1993-4882-9c9d-782b86092c8a
|
2
|
|
Model-Driven Dataset Generation for Data-Driven Battery SOH Models, file cf127b22-c5a4-49d4-8869-30056cd47db5
|
2
|
|
SystemC-AMS thermal modeling for the co-simulation of functional and extra-functional properties, file e384c431-8426-d4b2-e053-9f05fe0a1d67
|
2
|
|
Optimal Topology-Aware PV Panel Floorplanning with Hybrid Orientation, file e384c431-91de-d4b2-e053-9f05fe0a1d67
|
2
|
|
Design Domains and Abstraction Levels for Effective Smart System Simulation, file e384c431-a01a-d4b2-e053-9f05fe0a1d67
|
2
|
|
A Cross-Level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors, file e384c431-a187-d4b2-e053-9f05fe0a1d67
|
2
|
|
Analog Models Manipulation for Effective Integration in Smart System Virtual Platforms, file e384c431-a18e-d4b2-e053-9f05fe0a1d67
|
2
|
|
SystemC-AMS Simulation of Energy Management of Electric Vehicles, file e384c431-b186-d4b2-e053-9f05fe0a1d67
|
2
|
|
Conservative Behavioural Modelling in SystemC-AMS, file e384c431-c3e5-d4b2-e053-9f05fe0a1d67
|
2
|
|
A unified model of power sources for the simulation of electrical energy systems, file e384c431-c3ef-d4b2-e053-9f05fe0a1d67
|
2
|
|
CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties, file e384c432-241d-d4b2-e053-9f05fe0a1d67
|
2
|
|
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis, file e384c432-6cf9-d4b2-e053-9f05fe0a1d67
|
2
|
|
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring, file e384c434-6716-d4b2-e053-9f05fe0a1d67
|
2
|
|
A Framework for Economic and Environmental Benefit Through Renewable Energy Community, file 124fff3d-3d62-483e-b0db-5094d348ede8
|
1
|
|
An AI-Enabled Framework for Smart Semiconductor Manufacturing, file 1317d5d6-84bc-4019-8f16-23b1bb609188
|
1
|
|
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices, file 2a79bd82-b1b1-4af7-939d-9be82b0ee334
|
1
|
|
Model-Driven Feature Engineering for Data-Driven Battery SOH Model, file 8cc2cc1c-0fff-423b-9bd2-0de4e7499998
|
1
|
|
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line, file bf683d10-8fcf-419b-878f-383d49bb762c
|
1
|
|
Editorial: Special Issue on Innovative Design Methods for Smart Embedded Systems, file e384c431-8df9-d4b2-e053-9f05fe0a1d67
|
1
|
|
Code Manipulation for Virtual Platform Integration, file e384c431-96dc-d4b2-e053-9f05fe0a1d67
|
1
|
|
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch, file e384c431-af6f-d4b2-e053-9f05fe0a1d67
|
1
|
|
CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties, file e384c431-af77-d4b2-e053-9f05fe0a1d67
|
1
|
|
Integration of mixed-signal components into virtual platforms for holistic simulation of smart systems, file e384c431-b0d2-d4b2-e053-9f05fe0a1d67
|
1
|
|
A Unifying Flow to Ease Smart Systems Integration, file e384c431-b18e-d4b2-e053-9f05fe0a1d67
|
1
|
|
GIS-Based Optimal Photovoltaic Panel Floorplanning for Residential Installations, file e384c431-b190-d4b2-e053-9f05fe0a1d67
|
1
|
|
A Methodology to Recover RTL IP Functionality for Automatic Generation of SW Applications, file e384c431-b2ee-d4b2-e053-9f05fe0a1d67
|
1
|
|
Fast thermal simulation using SystemC-AMS, file e384c431-c3f2-d4b2-e053-9f05fe0a1d67
|
1
|
|
IP-XACT for Smart Systems Design: Extensions for the Integration of Functional and Extra-Functional Models, file e384c431-c3f4-d4b2-e053-9f05fe0a1d67
|
1
|
|
Preface, file e384c431-cc0b-d4b2-e053-9f05fe0a1d67
|
1
|
|
Modeling and Simulation of the Power Flow in Smart Systems, file e384c432-2ae1-d4b2-e053-9f05fe0a1d67
|
1
|
|
The importance of accurate battery models for power assessment in smart energy systems, file e384c432-5b7b-d4b2-e053-9f05fe0a1d67
|
1
|
|
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling, file eb026410-e6eb-46be-a62f-9932c3221936
|
1
|
| Totale |
2.737 |
Archivio Istituzionale della Ricerca