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2020 – today
- 2024
[j96]Francesco Daghero
, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari:
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. IEEE Internet Things J. 11(1): 742-757 (2024)- [c234]Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari:
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) 2024 - [c233]Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino:
Model-Driven Feature Engineering for Data-Driven Battery SOH Model. DATE 2024: 1-6 - [c232]Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE 2024: 1-6 - [i27]Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR abs/2402.01226 (2024) - [i26]Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello:
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR abs/2402.15273 (2024) - [i25]Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari:
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR abs/2404.01861 (2024) - [i24]Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello:
Foundation Models for Structural Health Monitoring. CoRR abs/2404.02944 (2024) - [i23]Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari:
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR abs/2406.12478 (2024) - [i22]Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR abs/2407.01054 (2024) - 2023
- [j95]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. 10(15): 13895-13907 (2023) - [j94]Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors 23(4): 2065 (2023) - [j93]Matteo Orlando, Lorenzo Bottaccioli, Stefano Quer, Massimo Poncino, Sara Vinco, Edoardo Patti:
A Framework for Economic and Environmental Benefit Through Renewable Energy Community. IEEE Syst. J. 17(4): 5626-5635 (2023) - [j92]Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers 72(3): 744-758 (2023) - [j91]Young Hoo Cho, Donkyu Baek, Yukai Chen, Min Jae Jung, Sara Vinco, Enrico Macii, Massimo Poncino:
Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning. IEEE Trans. Veh. Technol. 72(5): 5892-5905 (2023) - [c231]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE 2023: 1-6 - [c230]Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED 2023: 1-6 - [c229]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED 2023: 1-6 - [i21]Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR abs/2301.10281 (2023) - [i20]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR abs/2304.06059 (2023) - [i19]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR abs/2306.05060 (2023) - [i18]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR abs/2306.06129 (2023) - [i17]Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari:
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR abs/2306.09789 (2023) - 2022
- [j90]Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti:
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. 3(2): 19:1-19:25 (2022) - [j89]Matteo Orlando, Abouzar Estebsari, Enrico Pons, Marco Pau, Stefano Quer, Massimo Poncino, Lorenzo Bottaccioli, Edoardo Patti:
A Smart Meter Infrastructure for Smart Grid IoT Applications. IEEE Internet Things J. 9(14): 12529-12541 (2022) - [j88]Alessio Burrello, Giovanni Zara, Luca Benini, Davide Brunelli, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. Sustain. Comput. Informatics Syst. 35: 100704 (2022) - [j87]Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(4): 46:1-46:28 (2022) - [j86]Nicola Dall'Ora, Khaled Alamin, Enrico Fraccaroli, Massimo Poncino, Davide Quaglia, Sara Vinco:
Digital Transformation of a Production Line: Network Design, Online Data Collection and Energy Monitoring. IEEE Trans. Emerg. Top. Comput. 10(1): 46-59 (2022) - [c228]Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti:
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS 2022: 153-157 - [c227]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. COINS 2022: 1-6 - [c226]Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE 2022: 1443-1448 - [c225]Davide Cannizzaro, Filomena Simone, Klaus Illgner-Fehns, Sara Mata, Ivan Mondino, Alberto Ghiazza, Massimo Poncino, Santa Di Cataldo:
Quality inspection of critical aircraft engine components: towards full automation. ETFA 2022: 1-4 - [c224]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC 2022: 1-6 - [c223]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS 2022: 1332-1336 - [c222]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS 2022: 1512-1516 - [c221]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED 2022: 28:1-28:6 - [c220]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME 2022: 173-176 - [i16]Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti:
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR abs/2203.04396 (2022) - [i15]Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino:
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR abs/2203.12925 (2022) - [i14]Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. CoRR abs/2203.12932 (2022) - [i13]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino:
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR abs/2203.14768 (2022) - [i12]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR abs/2203.14907 (2022) - [i11]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR abs/2203.16339 (2022) - [i10]Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino:
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR abs/2204.03431 (2022) - [i9]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR abs/2204.04043 (2022) - [i8]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. CoRR abs/2204.10541 (2022) - [i7]Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino:
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR abs/2205.12781 (2022) - [i6]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR abs/2205.13838 (2022) - [i5]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR abs/2206.00302 (2022) - [i4]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR abs/2206.07652 (2022) - [i3]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. CoRR abs/2206.08080 (2022) - [i2]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR abs/2206.08852 (2022) - [i1]Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR abs/2209.00839 (2022) - 2021
- [j85]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. 122: 247-301 (2021) - [j84]Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino:
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182: 115269 (2021) - [j83]Tania Cerquitelli, Daniele Jahier Pagliari, Andrea Calimera, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino:
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. Proc. IEEE 109(4): 399-422 (2021) - [j82]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15(6): 1196-1209 (2021) - [j81]Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino:
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70(10): 1626-1639 (2021) - [j80]Daniele Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino:
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. 9(3): 1625-1636 (2021) - [j79]Yukai Chen, Wenlong Wang, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - [j78]Sara Vinco, Daniele Jahier Pagliari, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Massimo Poncino:
A Microservices-Based Framework for Smart Design and Optimization of PV Installations. IEEE Trans. Sustain. Comput. 6(4): 531-543 (2021) - [c219]Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino:
Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF 2021: 3-11 - [c218]Matteo Orlando, Lorenzo Bottaccioli, Sara Vinco, Enrico Macii, Massimo Poncino, Edoardo Patti:
Design of District-level Photovoltaic Installations for Optimal Power Production and Economic Benefit. COMPSAC 2021: 1873-1878 - [c217]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino:
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC 2021: 1015-1020 - [c216]Khaled Alamin, Sara Vinco, Massimo Poncino, Nicola Dall'Ora, Enrico Fraccaroli, Davide Quaglia:
Digital Twin Extension with Extra-Functional Properties. DATE 2021: 434-439 - [c215]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS 2021: 1-5 - [c214]Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino:
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED 2021: 1-6 - [c213]Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
ACME: An Energy-Efficient Approximate Bus Encoding for I2C. ISLPED 2021: 1-6 - [c212]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC 2021: 1-6 - [c211]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) 2021: 25-47 - 2020
- [j77]Valerio Tenace, Andrea Calimera, Enrico Macii, Massimo Poncino:
Logic Synthesis of Pass-Gate Logic Circuits With Emerging Ambipolar Technologies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 397-410 (2020) - [j76]Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Paolo Montuschi, Enrico Macii, Massimo Poncino:
Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. IEEE Trans. Sustain. Comput. 5(4): 552-567 (2020) - [c210]Matteo Orlando, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Sara Vinco, Massimo Poncino:
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis. COMPSAC 2020: 1411-1416 - [c209]Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino:
Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. DAC 2020: 1-6 - [c208]Sara Vinco, Yukai Chen, Enrico Macii, Massimo Poncino:
A Diode-Aware Model of PV Modules from Datasheet Specifications. DATE 2020: 816-821 - [c207]Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino:
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. Euro-Par Workshops 2020: 277-289 - [c206]Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino:
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS 2020: 1-4
2010 – 2019
- 2019
- [j75]Yukai Chen, Donkyu Baek, Jaemin Kim, Santa Di Cataldo, Naehyuck Chang, Enrico Macii, Sara Vinco, Massimo Poncino:
A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles. IEEE Access 7: 25779-25791 (2019) - [j74]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access 7: 172030-172044 (2019) - [j73]Daniele Jahier Pagliari, Yves Durand, David Coriat, Edith Beigné, Enrico Macii, Massimo Poncino:
Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1042-1055 (2019) - [j72]Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino:
SystemC-AMS Thermal Modeling for the Co-simulation of Functional and Extra-Functional Properties. ACM Trans. Design Autom. Electr. Syst. 24(1): 4:1-4:26 (2019) - [j71]Sara Vinco, Nicola Bombieri, Daniele Jahier Pagliari, Franco Fummi, Enrico Macii, Massimo Poncino:
A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. ACM Trans. Design Autom. Electr. Syst. 24(3): 27:1-27:23 (2019) - [j70]Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino:
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. 68(6): 5471-5482 (2019) - [c205]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC 2019: 111 - [c204]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Irradiance-Driven Partial Reconfiguration of PV Panels. DATE 2019: 884-889 - [c203]Daniele Jahier Pagliari, Francesco Panini, Enrico Macii, Massimo Poncino:
Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 69-74 - [c202]Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino:
Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS 2019: 442-445 - [c201]Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. ICECS 2019: 919-922 - [c200]Donkyu Baek, Yukai Chen, Enrico Macii, Massimo Poncino, Naehyuck Chang:
Battery-Aware Electric Truck Delivery Route Planner. ISLPED 2019: 1-6 - [c199]Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino:
CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED 2019: 1-6 - 2018
- [j69]Alberto Bocca, Alberto Macii, Enrico Macii, Massimo Poncino:
Composable Battery Model Templates Based on Manufacturers' Data. IEEE Des. Test 35(3): 66-72 (2018) - [j68]Alberto Bocca, Yukai Chen, Alberto Macii, Enrico Macii, Massimo Poncino:
Aging and Cost Optimal Residential Charging for Plug-In EVs. IEEE Des. Test 35(6): 16-24 (2018) - [j67]Yukai Chen, Enrico Macii, Massimo Poncino:
Empirical derivation of upper and lower bounds of NBTI aging for embedded cores. Microelectron. Reliab. 80: 294-305 (2018) - [j66]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. 27(9): 4623-4637 (2018) - [j65]Donghwa Shin, Massimo Poncino, Enrico Macii:
Thermal Management of Batteries Using Supercapacitor Hybrid Architecture With Idle Period Insertion Strategy. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1159-1170 (2018) - [c198]Sara Vinco, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Enrico Macii, Massimo Poncino:
GIS-based optimal photovoltaic panel floorplanning for residential installations. DATE 2018: 437-442 - [c197]Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino:
All-digital embedded meters for on-line power estimation. DATE 2018: 737-742 - [c196]Yukai Chen, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices. ACM Great Lakes Symposium on VLSI 2018: 201-206 - [c195]Sara Vinco, Enrico Macii, Massimo Poncino:
Optimal Topology-Aware PV Panel Floorplanning with Hybrid Orientation. ACM Great Lakes Symposium on VLSI 2018: 491-494 - [c194]Alberto Bocca, Yukai Chen, Alberto Macii, Massimo Poncino:
Fundamental Feature Extraction of the Battery Charge Phase from Product Data. ISCAS 2018: 1-4 - [c193]Daniele Jahier Pagliari, Massimo Poncino:
Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. ISCAS 2018: 1-5 - [c192]Sara Vinco, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino:
A Compact PV Panel Model for Cyber-Physical Systems in Smart Cities. ISCAS 2018: 1-5 - [c191]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. ISLPED 2018: 47:1-47:6 - [c190]