Results 121 to 130 of about 2,436 (255)

GTGO-driven joint task offloading and resource allocation with explainable AI in vehicular edge computing. [PDF]

PLoS One
Moudgil A, Rani S, Khan F.
europepmc   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing. [PDF]

Sci Rep
Momani AM, Alsekait DM, Al-Khasawneh MA, Othman SH, Alkayid K, Kouki S, Baalamurugan KM.   +6 more
europepmc   +1 more source

Secure and Blockchain-Based Emergency Driven Message Protocol for 5G Enabled Vehicular Edge Computing. [PDF]

Sensors (Basel), 2019
Nkenyereye L, Adhi Tama B, Shahzad MK, Choi YH.   +3 more
europepmc   +1 more source

Aerosol Jet Printing of Benzocyclobutene as a Thermally Stable, Low‐Loss Dielectric for Multilayer Microwave Electronics

Advanced Materials Technologies, EarlyView.
Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali, Trent Moritz, Mohammad Tayeb Al Qaseer, Ethan B. Secor   +3 more
wiley   +1 more source

Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks. [PDF]

Sensors (Basel)
Liu Y, Sun Q, Liu Z.
europepmc   +1 more source

Copper Electroplated TPMS Polymer Lattices for Lightweight Absorption Dominant Electromagnetic Interference Shielding

Advanced Materials Technologies, EarlyView.
Copper electroplating transforms lightweight 3D‐printed TPMS polymer lattices into effective electromagnetic shields. Topology, relative density, and conductive seed layer continuity govern copper penetration, electrical resistance, and attenuation. SEA consistently exceeds SER, while 35% RD Diamond lattice gives the best performance, reaching 48.72 dB
Aman Al Khatib, Fares AlAwwa, Naod Mogos, Abdallah Kamal, Kin Liao, Marwan El Rich, Wael Zaki   +6 more
wiley   +1 more source

HyAR-PPO: Hybrid Action Representation Learning for Incentive-Driven Task Offloading in Vehicular Edge Computing. [PDF]

Sensors (Basel)
Wang W, Li M, Wu H.
europepmc   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Deep learning-based caching optimization for VR 360° videos in vehicular edge computing. [PDF]

Sci Rep
Khan S, Zhang J, Soothar KK, Ahmad I, Ahmad S, Ali I.   +5 more
europepmc   +1 more source