default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichele Magno
Person information
- affiliation: ETH Zürich, Switzerland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j60]Julian Moosmann
, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno:
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. IEEE Access 12: 75093-75107 (2024)- [j59]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 4:1-4:49 (2024) - [j58]Philipp Mayer, Michele Magno, Luca Benini:
Self-Sustaining Ultrawideband Positioning System for Event-Driven Indoor Localization. IEEE Internet Things J. 11(1): 1272-1284 (2024) - [j57]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. IEEE Internet Things J. 11(8): 13584-13607 (2024) - [j56]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. IEEE Internet Things J. 11(12): 21372-21390 (2024) - [j55]Steven Marty, Andrea Ronco, Federico Pantanella, Kanika S. Dheman, Michele Magno:
Frequency Matters: Comparative Analysis of Low-Power FMCW Radars for Vital Sign Monitoring. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j54]Sergei Vostrikov, Thorir Mar Ingolfsson, Soley Hafthorsdottir, Christoph Leitner, Michele Magno, Luca Benini, Andrea Cossettini:
A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c204]Pietro Bonazzi, Yawei Li, Sizhen Bian, Michele Magno:
Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis. AICAS 2024: 517-521 - [c203]Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno:
Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications. COINS 2024: 1-6 - [c202]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. DATE 2024: 1-2 - [c201]Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Work in Progress: Linear Transformers for TinyML. DATE 2024: 1-2 - [c200]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-Enhanced IoT Device Revolutionizing Cycling Power Metrics. I2MTC 2024: 1-6 - [c199]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. I2MTC 2024: 1-6 - [c198]Tommaso Polonelli, Vlad Niculescu, Thomas Burger, Michele Magno:
A -79 dBm μ-Watt Wake-Up Receiver for Energy Efficient ISM and LoRa Communication. I2MTC 2024: 1-6 - [c197]Nicolas Scharer, Tommaso Polonelli, Julien Deparday, Michele Magno:
Towards a non-Invasive Monitoring System for Wind Turbine Blades. I2MTC 2024: 1-6 - [c196]Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. ICML 2024 - [c195]Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno:
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. ICML 2024 - [c194]Nicky Zimmerman, Hanna Müller, Michele Magno, Luca Benini:
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor Plans. ICRA 2024: 11913-11919 - [c193]Kanika S. Dheman, Marco Giordano, Cyriac Thomas, Philipp Schilk, Michele Magno:
i-CardiAx: Wearable IoT-Driven System for Early Sepsis Detection Through Long-Term Vital Sign Monitoring. IoTDI 2024: 97-109 - [c192]Andrea Ronco, Philipp Schilk, Michele Magno:
TinyssimoRadar: In-Ear Hand Gesture Recognition with Ultra-Low Power mmWave Radars. IoTDI 2024: 192-202 - [c191]Federico Villani, Enea Masina, Thomas Burger, Michele Magno:
A 36nW Ultra-Wideband Wake-Up Receiver with -86dBm Sensitivity and Addressing Capabilities. ISCAS 2024: 1-5 - [c190]Chiara Botrugno, Kanika S. Dheman, Pietro Bonazzi, Francesco Dell'Olio, Michele Magno:
AI-Based Multi-Wavelength PPG Device for Blood Pressure Monitoring. MeMeA 2024: 1-6 - [d2]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. Zenodo, 2024
- [i60]Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele Magno:
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey. CoRR abs/2401.06000 (2024) - [i59]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. CoRR abs/2401.07658 (2024) - [i58]Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi:
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR abs/2402.04291 (2024) - [i57]Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno:
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR abs/2402.05445 (2024) - [i56]Victor Luder, Sizhen Bian, Michele Magno:
CycloWatt: An Affordable, TinyML-enhanced IoT Device Revolutionizing Cycling Power Metrics. CoRR abs/2403.07915 (2024) - [i55]Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno:
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware. CoRR abs/2403.11784 (2024) - [i54]Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno:
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. CoRR abs/2403.11875 (2024) - [i53]Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno:
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. CoRR abs/2403.15313 (2024) - [i52]Hanna Müller, Victor Javier Kartsch, Michele Magno, Luca Benini:
BatDeck: Advancing Nano-drone Navigation with Low-power Ultrasound-based Obstacle Avoidance. CoRR abs/2403.16696 (2024) - [i51]Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno:
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR abs/2404.14047 (2024) - [i50]Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi:
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR abs/2405.14917 (2024) - [i49]Lukas Schulthess, Philipp Mayer, Luca Benini, Michele Magno:
A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication. CoRR abs/2405.18000 (2024) - [i48]Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno:
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations. CoRR abs/2406.06245 (2024) - [i47]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
A LoRa-based Energy-efficient Sensing System for Urban Data Collection. CoRR abs/2406.06404 (2024) - [i46]Jonas Kühne, Michele Magno, Luca Benini:
Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs. CoRR abs/2406.13345 (2024) - [i45]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Ultra-Lightweight Collaborative Mapping for Robot Swarms. CoRR abs/2407.03136 (2024) - [i44]Pixi Kang, Julian Moosmann, Sizhen Bian, Michele Magno:
On-Device Training Empowered Transfer Learning For Human Activity Recognition. CoRR abs/2407.03644 (2024) - [i43]Lukas Schulthess, Federico Villani, Philipp Mayer, Michele Magno:
RF Power Transmission for Self-sustaining Miniaturized IoT Devices. CoRR abs/2407.21455 (2024) - [i42]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. CoRR abs/2407.21501 (2024) - [i41]Andrea Ronco, Lukas Schulthess, David Zehnder, Michele Magno:
Machine Learning In-Sensors: Computation-enabled Intelligent Sensors For Next Generation of IoT. CoRR abs/2407.21508 (2024) - 2023
- [j53]Tommaso Polonelli, Amirhossein Moallemi, Weikang Kong, Hanna Müller, Julien Deparday, Michele Magno, Luca Benini:
A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines. IEEE Access 11: 119506-119522 (2023) - [j52]Silvano Cortesi, Christian Vogt, Michele Magno:
Comparison between an RSSI- and an MCPD-Based BLE Indoor Localization System. Comput. 12(3): 59 (2023) - [j51]Edoardo Ghignone, Nicolas Baumann, Michele Magno:
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing. Field Robotics 3(1): 637-651 (2023) - [j50]Tommaso Polonelli, Julien Deparday, Imad Abdallah, Sarah Barber, Eleni N. Chatzi, Michele Magno:
Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines. IEEE Instrum. Meas. Mag. 26(4): 12-18 (2023) - [j49]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV. IEEE Internet Things J. 10(7): 5760-5777 (2023) - [j48]Pascal Bleuler, Tommaso Polonelli, Yu Xiao, Benjamin Stadler, Lorenz Gallina, Hannah Kirchner, Michele Magno, Christian M. Franck:
A Unified Sensor Platform for Investigating Corona Effects on Overhead Lines. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j47]Tobias Margiani, Silvano Cortesi, Milena Keller, Christian Vogt, Tommaso Polonelli, Michele Magno:
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j46]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Charles Moatti, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Toward the Future Generation of Railway Localization Exploiting RTK and GNSS. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j45]Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller:
Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. 2023 (2023) - [j44]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs. IEEE Trans. Robotics 39(6): 4935-4951 (2023) - [c189]Victoria Abou Khalil, Andrew Vargo, Rwitajit Majumdar, Michele Magno, Manu Kapur:
Considerations when automating the assessment and guidance of Project Work (invited paper). AAGPW@AIED 2023: 1-6 - [c188]Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno:
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. AICAS 2023: 1-5 - [c187]Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. AICAS 2023: 1-5 - [c186]Thomas Rüegg, Marco Giordano, Michele Magno:
KP2Dtiny: Quantized Neural Keypoint Detection and Description on the Edge. AICAS 2023: 1-5 - [c185]Victoria Abou Khalil, Andrew Vargo, Rwitajit Majoumdar, Michele Magno, Manu Kapur:
Automated Assessment and Guidance of Project Work. AIED (Posters/Late Breaking Results/...) 2023: 69-73 - [c184]Marco Giordano, Kirill Keller, Francesco Greco, Luca Benini, Michele Magno, Christoph Leitner:
Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer. BioCAS 2023: 1-5 - [c183]Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke, Michele Magno, Luca Benini, Christoph Leitner:
Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. BioCAS 2023: 1-5 - [c182]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c181]Lukas Schulthess, Fabrice Longchamp, Christian Vogt, Michele Magno:
A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations. ENSsys@SenSys 2023: 44-50 - [c180]Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno:
Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices. ENSsys@SenSys 2023: 65-71 - [c179]Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno:
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture. I2MTC 2023: 1-6 - [c178]Qingyan Ren, Yanjing Sun, Michele Magno:
Coverage Guaranteed Cooperative MIMO Formation for Underwater MI-Assisted Acoustic WSNs. ICC 2023: 3920-3925 - [c177]Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno:
Learning continuous piecewise non-linear activation functions for deep neural networks. ICME 2023: 1835-1840 - [c176]Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. ICRA 2023: 5276-5283 - [c175]Pietro Bonazzi, Thomas Rüegg, Sizhen Bian, Yawei Li, Michele Magno:
TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation. SENSORS 2023: 1-4 - [c174]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. SENSORS 2023: 1-4 - [c173]Kanika S. Dheman, Manuel Glahn, Michele Magno:
Towards Enhanced Bladder Volume Measurement with Context-Aware Bio-Impedance Sensor Fusion. SENSORS 2023: 1-4 - [c172]Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno:
Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes. SENSORS 2023: 1-4 - [c171]Michele Magno:
Ultra-Wideband Technology: Unlocking the Potential of Low Power IoT with Precise Localization and Energy-Efficient Wake-Up Radio. SENSORS 2023: 1 - [c170]Julian Moosmann, Jakub Mandula, Philipp Mayer, Luca Benini, Michele Magno:
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images. SENSORS 2023: 1-4 - [c169]Amélie Gruel, Jean Martinet, Michele Magno:
Simultaneous neuromorphic selection of multiple salient objects for event vision. IJCNN 2023: 1-8 - [c168]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
In-Ear-Voice: Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 1-12 - [c167]Rabea Rogge, Lukas Schulthess, Christian Vogt, Michele Magno:
Poster Abstract: A Human Body Power Transfer System to Enable Battery-Less Sensor Nodes. IoTDI 2023: 456-457 - [c166]Steven Marty, Kanika S. Dheman, Michele Magno:
Poster Abstract: Contactless Vital Sign Monitoring using Low-Power FMCW Radar. IoTDI 2023: 461-463 - [c165]Lukas Schulthess, Philipp Mayer, Michele Magno:
Poster Abstract: Battery-free and Passive Wake-up Receiver for Underwater Communication. IoTDI 2023: 479-480 - [c164]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
Poster Abstract: A LoRa-based Energy-Efficient Sensing System for Urban Computing. IoTDI 2023: 481-482 - [c163]Philipp Schilk, Niccolò Polvani, Andrea Ronco, Milos Cernak, Michele Magno:
Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms. IoTDI 2023: 488-490 - [c162]Dominik Schindler, Vlad Niculescu, Tommaso Polonelli, Daniele Palossi, Luca Benini, Michele Magno:
A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation. IROS 2023: 5288-5295 - [c161]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605 - [c160]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. ISCAS 2023: 1-5 - [c159]Lukas Schulthess, Steven Marty, Matilde Dirodi, Mariana D. Rocha, Linus Rüttimann, Richard H. R. Hahnloser, Michele Magno:
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. ISCAS 2023: 1-5 - [c158]Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network on Neuromorphic Platform For Human Activity Recognition. ISWC 2023: 82-86 - [c157]Tommaso Polonelli, Casimir Feldmann, Vlad Niculescu, Hanna Müller, Michele Magno, Luca Benini:
Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs. IWASI 2023: 9-14 - [c156]Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno:
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. IWASI 2023: 21-26 - [c155]Phillip Trummer, Tommaso Polonelli, Julien Deparday, Imad Abdallah, Michele Magno:
Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU. IWASI 2023: 40-45 - [c154]Philipp Mayer, Rabea Rogge, Andrin Caviezel, Jessica Munch, Adrian Ringenbach, Michele Magno, Luca Benini:
Design and Evaluation of a LoRa Controlled Rugged Multisensor Unit for Induced Rockfall Experiments. IWASI 2023: 52-57 - [c153]Lukas Schulthess, Tiago Salzmann, Christian Vogt, Michele Magno:
A LoRa-based Energy-efficient Sensing System for Urban Data Collection. IWASI 2023: 69-74 - [c152]Kanika S. Dheman, Alkinoos Sariglou, Michele Magno:
Towards Wearable Sweat Sensing for Glucose and Lactate: Sensors Characterisation. IWASI 2023: 121-126 - [c151]Jonas Kühne, Michele Magno, Luca Benini:
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. IWASI 2023: 143-148 - [c150]Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno:
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. IWASI 2023: 287-292 - [c149]Carla Tettamanti, Marco Giordano, Julia Altheimer, Lukas Linhart, Michele Magno:
Towards Model Development for Sensor-Based Activity Recognition at the Construction Site. IWASI 2023: 305-310 - [c148]Steven Marty, Federico Pantanella, Andrea Ronco, Kanika S. Dheman, Michele Magno:
Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring. MeMeA 2023: 1-6 - [c147]Sizhen Bian, Alexander Rupp, Michele Magno:
Fully Automatic Gym Exercises Recording: An IoT Solution. MetroInd4.0&IoT 2023: 310-314 - [c146]Sizhen Bian, Bo Zhou, Paul Lukowicz, Mengxi Liu, Michele Magno, Kexuan Guo:
3D Hand Tracking with Induced Magnetic Field. PerCom Workshops 2023: 589-594 - [c145]Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. SAS 2023: 1-6 - [c144]Luca Pascarella, Michele Magno:
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars. SAS 2023: 1-6 - [c143]Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno:
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation. SAS 2023: 1-6 - [c142]Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, L. Andrea Dunbar, Michele Magno:
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MINIROCKET on Resource-Constrained Devices. WF-IoT 2023: 1-8 - [c141]Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno:
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. WF-IoT 2023: 1-6 - [c140]Andrea Mattei, Moritz Scherer, Cristian Cioflan, Michele Magno, Luca Benini:
Securing Tiny Transformer-Based Computer Vision Models: Evaluating Real-World Patch Attacks. WF-IoT 2023: 1-7 - [c139]Denis Mikhaylov, Fu Zheng, Philipp Mayer, Christian Vogt, Tommaso Polonelli, Michele Magno:
Advancing Freight Train Integrity Monitoring for Next-Generation Railway Signaling Using UWB Ranging. WF-IoT 2023: 1-6 - [c138]Silvano Cortesi, Christian Vogt, Elio Reinschmidt, Michele Magno:
Latency and Power Consumption in 2.4GHz IoT Wireless Mesh Nodes: An Experimental Evaluation of Bluetooth Mesh and Wirepas Mesh. WiMob 2023: 200-205 - [d1]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization Exploiting RTK and GNSS. Zenodo, 2023 - [i40]Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno:
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. CoRR abs/2302.07957 (2023) - [i39]