Results 51 to 60 of about 687 (126)
Electrochemical memristive devices, whose resistance is modulated by ion migration and redox reactions, offer a hardware pathway toward brain‐inspired computing. This review summarizes key switching mechanisms—electrochemical metallization (ECM), valence change mechanism (VCM), and thermochemical effects (TCM)—and discusses how materials and device ...
Junyao Xu, Yiwei Sun
wiley +1 more source
Security in Device-to-Device communications (D2D): a survey
—Device-to-Device (D2D) communication is a promising technology for the next generation mobile communication networks (5G). Indeed, it is expected to allow high throughput, reduce communication delays and reduce energy consumption and traffic load. D2D technology will enhance the capacity and the performance of traditional cellular networks.
Nait Hamoud, Othmane +2 more
openaire +1 more source
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal +3 more
wiley +1 more source
Energy Efficiency and Spectral Efficiency Tradeoff in Device-to-Device (D2D) Communications [PDF]
8 pages, 6 figures, long version paper of IEEE Wireless Communications Letters, accepted for publication.
Zhenyu Zhou 0001 +4 more
openaire +2 more sources
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad +6 more
wiley +1 more source
Infrastructure-Less Communication Platform for Off-The-Shelf Android Smartphones
As smartphones and other small portable devices become more sophisticated and popular, opportunities for communication and information sharing among such device users have increased.
Takuma Oide, Toru Abe, Takuo Suganuma
doaj +1 more source
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein +3 more
wiley +1 more source
Joint Optimization of Device to Device Resource and Power Allocation Based on Genetic Algorithm
Device-to-device (D2D) communication plays an important role in the next generation of communication systems. Enabling D2D communication decreases latency and expands the coverage of a cell in cellular networks.
Hengameh Takshi +2 more
doaj +1 more source
Framework for Task Offloading in O‐RAN Architecture for Heterogeneous Computing Applications
This work proposes a task offloading framework in ORAN architecture, optimizing computational assignment across user devices, edge cloud, and regional cloud. By efficiently selecting processing nodes and allocating computational and radio resources, it minimizes delay while accommodating diverse latency requirements for gold, silver, and bronze‐tier ...
Samira Taheri +3 more
wiley +1 more source
Energy‐Efficient Element Selection in RIS‐Assisted Backscatter Communication Systems
This paper investigates energy‐efficient reconfigurable intelligent surface (RIS) assisted ambient backscatter communication systems with energy‐harvesting tags. A low‐complexity RIS element selection strategy is developed to satisfy both energy‐harvesting and signal‐to‐interference‐plus‐noise ratio constraints while minimizing overall power ...
Mengistu A. Mulatu +2 more
wiley +1 more source

