Search Results - machine+learning

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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

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

Rheology-Informed Neural Networks for complex fluids

INV-21050 Background Many complex and structured fluids exhibit a wide range of rheological responses to different flow characteristics. The ability to predict this complex rheological behavior is essential in better understanding and designing these complex fluids and their processing conditions. Despite the increasing trend in using artificial...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Mohammadamin Mahmoudabadbozchelou, Safa Jamali

Keywords(s): 3D Printer, Adaptive, Artificial intelligence, Biotech, Computational Modeling, Deep learning, Fabrication, Machine Learning, Manufacturing, Materials, Oil/petroleum, Process Engineering

Category(s): -Oil and Gas, Technology Classifications > 3. Computer Science, Technology Classifications > 2. Physical Science, Technology Classifications > 3. Computer Science > AI, Technology Classifications > 3. Computer Science > Neural Networks

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: 1/27/2025 | Updated: 3/21/2024 | 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

Method and Apparatus for Efficient Access Point Discovery Based on Learning CSI in Dense Wi-Fi Networks

INV-20082 Background Consider a building where Access Points (APs) are deployed to provide WiFi connectivity. When a Wi-Fi device such as a smartphone, tablet, or laptop enters the building, before being able to communicate with the Internet, it needs to establish a connection with the AP. Legacy procedures require the client to scan the neighborhood...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Kaushik Chowdhury, Kunal Sankhe, Dheryta Jaisinghani

Keywords(s): Access Point, Artificial intelligence, Machine Learning, Wi-Fi

Category(s): -Networks, -Communications, Technology Classifications > 3. Computer Science > IoT

Mechanisms for Adversarial Machine Learning in Wireless Systems

AI-driven technology enhances real-time wireless signal classification and transceiver adjustments through adaptive neural networks Copy Image URL via instructions below https://nu.testtechnologypublisher.com/files/sites/mark-saulich-20.jpg Background: Wireless machine learning systems are increasingly critical for automated decision-making...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Francesco Restuccia, Salvatore D'Oro, Tommaso Melodia

Keywords(s): IoT, Machine Learning, Wi-Fi

Category(s): Technology Classifications > 3. Computer Science > Software, Technology Classifications > 3. Computer Science, Technology Classifications > WIoT

A-Eye: A device for accurately identifying color

A cyber-physical system using thin film filters and Bayesian inference to accurately estimate light wavelengths with 99% accuracy, suitable for vision systems https://nu.technologypublisher.com/files/sites/mark-saulich-1280x1600.jpg https://nu.technologypublisher.com/files/sites/adobestock_700243538.jpeg Source: Author Ali Hanif Sumbul...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Davoud Hejazi, Swastik Kar, Sarah Ostadabbas

Keywords(s): 2D materials, Artificial eye, Artificial intelligence, color sensing, Machine Learning, spectral estimation, Wavelength estimation

Category(s): Technology Classifications > 2. Physical Science > Sensors/Robotics

System and Method for Joint Computation, Caching, and Forwarding in Data-intensive Dispersive Computing Networks

INV-20001 Background This method can optimally accomplish data-intensive dispersive computing in a general network, by jointly forwarding computation requests, scheduling computations, and replicating and storing data. The method focuses on data-intensive computation, where computations require significant data inputs. Computation request forwarding...

Published: 1/27/2025 | Updated: 3/21/2024 | Inventor(s): Edmund Yeh, Khashayar Kamran

Keywords(s): 5G Networks, Cellular Networks, Data Storage, Distributed Optimization, IoT, Machine Learning, Network Slicing, Next-generation Mobile Networks

Category(s): Technology Classifications > 3. Computer Science > Software