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Search Results - francesco+restuccia
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OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge
OffloaDNN enhances mobile CV task execution by optimizing DNN layers, reducing memory use by 82.5%, and increasing task handling by 26.9% https://nu.technologypublisher.com/files/sites/adobestock_810835118.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-23.jpg Source Adobe Stock By Yasiru # 810835118 Background: The...
Published: 1/31/2025
|
Inventor(s):
Francesco Restuccia
,
Tanzil Hassan
,
Carla Fabiana Chiasserini
,
Corrado Puligheddu
,
Nancy Varshney
Keywords(s):
Computational Offloading
,
Edge devices
,
Resource allocation
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
SAWEC: Sensing-Assisted Wireless Edge Computing
Sensing-Assisted Wireless Edge Computing (SAWEC) enhances mobile device performance by offloading computational tasks to edge servers, reducing video data transmission through intelligent filtering, and optimizing bandwidth usage. This innovative approach ensures faster processing times and lower latency for real-time applications. https://nu.technologypublisher.com/files/sites/adobestock_884397290.jpeg...
Published: 1/31/2025
|
Inventor(s):
Francesco Restuccia
,
Khandaker Foysal Haque
,
Francesca Meneghello
,
Md Ebtidaul Karim
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
Faster and Accurate Neural Networks with Semantic Inference
SINF intelligently clusters inputs to selectively engage DNN subgraphs, reducing computational load while maintaining high accuracy. https://nu.technologypublisher.com/files/sites/adobestock_367338925.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Source Adobe Stock By Summit Art Creations # 367338925 Background The...
Published: 1/31/2025
|
Inventor(s):
Francesco Restuccia
,
Jonathan Ashdown
,
A Q M Sazzad Sayyed
Keywords(s):
Artificial intelligence
,
computer vision and deep learning
,
Efficient computing
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
Methods for real-time wideband RF waveform and emission classification
Revolutionary deep learning tech for accurate, real-time spectrum sensing of wireless signals like 5G, WiFi, and Bluetooth https://nu.testtechnologypublisher.com/files/sites/mark-saulich-17.jpg Background: Spectrum sensing is crucial in wireless communications for efficiently utilizing the limited available radio frequency (RF) spectrum....
Published: 1/29/2025
|
Inventor(s):
Tommaso Melodia
,
Milin Zhang
,
Salvatore D'Oro
,
Daniel Uvaydov
,
Francesco Restuccia
,
Clifton Robinson
Keywords(s):
Deep learning
,
O-RAN
,
Spectrum sensing
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals
SiMWiSense uses Wi-Fi Channel State Information (CSI) and a few-shot learning algorithm to classify activities of multiple subjects simultaneously, overcoming scalability issues and enhancing generalization with minimal data. https://nu.technologypublisher.com/files/sites/simwisense.png https://nu.testtechnologypublisher.com/files/sites/mark-saulich-19.jpg...
Published: 2/3/2025
|
Inventor(s):
Francesco Restuccia
,
Khandaker Foysal Haque
,
Milin Zhang
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
I Sense Your Feedback: Rethinking Wi-Fi Sensing Through MU-MIMO Beamforming Feedback Learning
BeamSense uses MU-MIMO beamforming feedback for high-granularity Wi-Fi sensing, enhanced by a Few-Shot Learning algorithm for quick adaptation to new environments with minimal data. https://nu.technologypublisher.com/files/sites/i-sense-you.png https://nu.testtechnologypublisher.com/files/sites/mark-saulich-7.jpg Source:Haque, Khandaker &...
Published: 2/3/2025
|
Inventor(s):
Francesco Restuccia
,
Khandaker Foysal Haque
,
Milin Zhang
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
3D-O-RAN: Dynamic Data Driven Open Radio Access Network Systems
3D-O-RAN enhances O-RAN with semantic slicing and dynamic neural certification for cost-effective, interoperable network performance https://nu.technologypublisher.com/files/sites/adobestock_964178767.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-13.jpg Source Adobe Stock: By Ahmed 964178767 Background In the rapidly...
Published: 1/31/2025
|
Inventor(s):
Francesco Restuccia
,
Erik Blasch
,
Jonathan Ashdown
,
Kurt Turck
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
SEM-O-RAN: Semantic NextG O-RAN Slicing for Data-Driven Edge-Assisted Mobile Applications
SEM-O-RAN uses O-RAN architecture and semantic compression to offload ML tasks to the edge, optimizing network resources and reducing latency. https://nu.technologypublisher.com/files/sites/adobestock_273497085.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-16.jpg Source: Adobe Stock By Tierney # 273497085 Background The...
Published: 1/31/2025
|
Inventor(s):
Corrado Puligheddu
,
Francesco Restuccia
,
Carla Fabiana Chiasserini
Keywords(s):
5G and beyond
,
5G Networks
,
6G
,
Deep learning
,
Machine Learning
,
Mobile devices
,
O-RAN
,
Semantics
,
Software-defined Networks
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
V-Edge: Enabling Vehicular Edge Intelligence in Unlicensed Spectrum Bands
V-Edge enhances vehicular intelligence using 60 GHz and sub-6 GHz technologies for low-latency, high-throughput, real-time AI processing https://nu.technologypublisher.com/files/sites/adobestock_1024312513-(1).jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-15.jpg Source: Adobe Stock By nurman 1024312513 Background: As...
Published: 1/31/2025
|
Inventor(s):
Francesco Raviglione
,
Francesco Restuccia
,
Claudio Casetti
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
SplitBeam: Rethinking Beamforming Feedback in MU-MIMO Wi-Fi Systems Through Split Neural Networks
SplitBeam uses a split deep neural network to optimize Wi-Fi beamforming, improving connectivity and reducing interference by processing the channel state information matrix with machine learning. https://nu.technologypublisher.com/files/sites/adobestock_364124467.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-9.jpg Source:...
Published: 1/31/2025
|
Inventor(s):
Niloofar Bahadori
,
Francesco Restuccia
,
Marco Levorato
,
Yoshitomo Matsubara
Keywords(s):
Deep learning
,
MU-MIMO
,
Split Computing
,
Wi-Fi
Category(s):
Technology Classifications > 3. Computer Science
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