Search Results - technology+classifications+%3e+3.+computer+science

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WIoT
Techs for WIoT Even t CU-LTE: An Algorithm to Enable Spectrally-Efficient and Fair Coexistence between LTE and Wi-Fi in Unlicensed Bands link: Technology -CU-LTE: An Algorithm to Enable Spectrally-Efficient and Fair Coexistence between LTE and Wi-Fi in Unlicensed Bands (testtechnologypublisher.com)
Published: 1/27/2025   |   Updated: 9/25/2024   |   Inventor(s):  
Keywords(s):  
Category(s): Technology Classifications > 3. Computer Science
Mechanism for Embedded Deep Reinforcement Learning in Wireless Internet of Things Devices
DeepRadioID uses deep learning and FIR filters for unique, energy-efficient IoT authentication, enhancing security and accuracy. https://nu.testtechnologypublisher.com/files/sites/adobestock_150511712.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-25.jpg Source:Irina Strelnikova / Adobe Stock file 150511712 Background:...
Published: 1/27/2025   |   Updated: 7/14/2024   |   Inventor(s): Francesco Restuccia, Tommaso Melodia
Keywords(s):  
Category(s): -Sensors tech, Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
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% Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-23.jpg Background: The computational demands of deep neural networks (DNNs) for computer vision (CV)...
Published: 1/27/2025   |   Updated: 7/14/2024   |   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
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: 1/27/2025   |   Updated: 7/14/2024   |   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 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   |   Updated: 7/14/2024   |   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
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: 1/27/2025   |   Updated: 7/14/2024   |   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: 1/27/2025   |   Updated: 7/14/2024   |   Inventor(s): Francesco Raviglione, Francesco Restuccia, Claudio Casetti
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 Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-13.jpg Background In the rapidly evolving landscape of cellular communications, the need for systems that...
Published: 1/27/2025   |   Updated: 7/14/2024   |   Inventor(s): Francesco Restuccia, Erik Blasch, Jonathan Ashdown, Kurt Turck
Keywords(s):  
Category(s): Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
Methods for reliable classification of wireless signals
This technology uses AI and neural networks for real-time wireless signal classification, enhancing detection accuracy and compensating for channel distortions by manipulating the waveform before transmission. https://nu.testtechnologypublisher.com/files/sites/mark-saulich-12.jpg Background: The constant evolution of networking systems...
Published: 1/27/2025   |   Updated: 7/14/2024   |   Inventor(s): Salvatore D'Oro, Tommaso Melodia, Francesco Restuccia
Keywords(s): Deep Reinforcement Learning, Machine Learning, wireless signals
Category(s): Technology Classifications > 3. Computer Science > Network communications, Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
Robust Wi-Fi Radio Fingerprinting Through MU-MIMO CSI Feedback Deep Learning
This new Wi-Fi radio fingerprinting method uses beamforming feedback for device authentication, eliminating the need for expensive SDR technology and enhancing network security with low-cost hardware. Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-11.jpg Background: With the proliferation...
Published: 1/27/2025   |   Updated: 7/14/2024   |   Inventor(s): Francesco Restuccia, Francesca Meneghello, Michele Rossi
Keywords(s):  
Category(s): Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
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