Inteum Company
Links
seedsprint
Visible Legacy
RSS
News & Resources
Inteum Company News
Inteum Library
Subscribe
Search Results - technology+classifications+%3e+wiot
10
Results
Sort By:
Published Date
Updated Date
Title
ID
Descending
Ascending
Faster and Accurate Neural Networks with Semantic Inference
SINF intelligently clusters inputs to selectively engage DNN subgraphs, reducing computational load while maintaining high accuracy. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Background The deployment of Deep Neural Networks in real-world applications faces significant challenges...
Published: 10/15/2024
|
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 Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-17.jpg Background: Spectrum sensing is crucial in wireless communications for efficiently utilizing the limited available...
Published: 10/15/2024
|
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
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. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-7.jpg Background: The demand for accurate and granular...
Published: 10/15/2024
|
Inventor(s):
Francesco Restuccia
,
Khandaker Foysal Haque
,
Milin Zhang
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. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-16.jpg Background The exponential growth in the number of connected devices and the increasingly...
Published: 10/15/2024
|
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 Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-15.jpg Background: As the landscape of vehicular technology evolves, the integration of AI and DL within...
Published: 10/15/2024
|
Inventor(s):
Francesco Raviglione
,
Francesco Restuccia
,
Claudio Casetti
Keywords(s):
Category(s):
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
ReWiS: Reliable Wi-Fi Sensing Through Few-Shot Multi-Antenna Multi-Receiver CSI Learning
ReWiS improves Wi-Fi sensing accuracy using multi-antenna and multi-frame CSI, employing few-shot learning for quick adaptation with minimal data in applications like remote healthcare and security. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-8.jpg Background: The field of Wi-Fi...
Published: 10/15/2024
|
Inventor(s):
Niloofar Bahadori
,
Francesco Restuccia
Keywords(s):
5G Networks
,
6G
,
Wi-Fi
Category(s):
Technology Classifications
,
Technology Classifications > WIoT
,
Technology Classifications > 3. Computer Science > IoT
DeepBeam: Coordination-Free mmWave Beam Management With Deep Waveform Learning
DeepBeam uses deep neural networks for passive, efficient 5G beam alignment, reducing latency and overhead. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-18.jpg Background: The surge in mobile data traffic necessitates a new generation of wireless systems, leading to the development...
Published: 10/15/2024
|
Inventor(s):
Michele Polese
,
Francesco Restuccia
,
Tommaso Melodia
Keywords(s):
5G Networks
,
5g NR
,
Artificial intelligence
,
Beam
,
Beam Management
,
Communications
,
Deep learning
,
Machine Learning
,
Millimeter Wave Spectrum
,
Mobile devices
,
Next-generation Mobile Networks
,
Phased-Array
Category(s):
-Networks
,
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
A unified framework for multi-access edge computing (MEC) network slicing in 5G networks
INV-20109 Background It has become apparent that advanced softwarization and virtualization paradigms such as network slicing will be the cornerstone of 5G networks and the Internet of Things. Indeed, by sharing a common underlying physical infrastructure, network operators (NOs) can dynamically deploy multiple “slices” tailored for...
Published: 10/15/2024
|
Inventor(s):
Salvatore D'Oro
,
Tommaso Melodia
,
Francesco Restuccia
,
Leonardo Bonati
Keywords(s):
5G Networks
,
Cellular Networks
,
Edge Computing
,
Network Slicing
Category(s):
-Networks
,
-Communications
,
Technology Classifications > WIoT
SteaLTE: Private 5G Cellular Connectivity as a Service Through Full-Stack Wireless Steganography
SteaLTE enhances 5G security with covert network slices for private, reliable, and stealthy communications.” https://nu.technologypublisher.com/files/sites/adobestock_1011326470.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-14.jpg Source: By Official Adobe Stock #1011326470 Background: The surge in privacy threats...
Published: 10/15/2024
|
Inventor(s):
Tommaso Melodia
,
Leonardo Bonati
,
Salvatore D'Oro
,
Francesco Restuccia
Keywords(s):
5G Networks
,
5g NR
,
Cellular Networks
,
Next-generation Mobile Networks
,
Privacy
,
Steganography
Category(s):
-Networks
,
-Sensors tech
,
Technology Classifications > 3. Computer Science
,
Technology Classifications > WIoT
SwarmControl: Software-Defined Drone Network Control in The Sky
INV-19059 Background Intelligent unmanned aerial vehicles (UAVs, or drones) are attracting the interest of the networking community as a “tool” to provide new capabilities, to extend the infrastructure of wireless networks, and to make it more flexible. Because of their unique characteristics such as fast deployment, high mobility,...
Published: 10/15/2024
|
Inventor(s):
Lorenzo Bertizzolo
,
Tommaso Melodia
,
Salvatore D'Oro
,
Zhangyu Guan
Keywords(s):
5G Networks
,
5g NR
,
Drone Networks
,
IoT
,
Software-defined Networking
Category(s):
-Homeland Security
,
-Sensors tech
,
Technology Classifications > 3. Computer Science > Software
,
Technology Classifications > 2. Physical Science > Security
,
Technology Classifications > WIoT