Results 81 to 90 of about 33,840 (257)

Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario

IEEE Open Journal of the Communications Society
Efficient Random Access (RA) is critical for enabling reliable communication in Industrial Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning-based distributed RA scheme, entitled Neural Network-Based Bandit (NNBB), for ...
Prasoon Raghuwanshi, Onel Luis Alcaraz Lopez, Neelesh B. Mehta, Hirley Alves, Matti Latva-Aho   +4 more
doaj   +1 more source

Transient Charging Dynamics in Stacked Ga2O3/ZnO Photovoltaic Units Governing Wavelength‐Selective Polarity Switching

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work reveals a “Photovoltaic‐Capacitance” coupling mechanism in stacked Ga2O3/ZnO devices, defining the ZnO/graphene interface as a novel Photovoltaic Dynamic‐Capacitor (PDC). The wavelength‐selective bipolar response enables a physical layer secure communication protocol based on ternary optical logic (“1,” “0,” “−1”).
Songqi Zhao, Man Zhao, Dayong Jiang, Yuhan Duan, Haoming Wei, Qingcheng Liang, Rui Deng   +6 more
wiley   +1 more source

A Novel Multilevel Conceptual Framework for Flood Risk Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data

IEEE Open Journal of the Communications Society
Gathering useful and trustworthy wireless data using crowdsourcing to train/validate machine learning (ML) algorithms can be difficult due to two factors: 1) correctness and reliability of the gathered data from various independent wireless access points
Zunera Javed, Zaheer Khan, Janne J. Lehtomaki, Hamed Ahmadi, Su P. Sone   +4 more
doaj   +1 more source

ZnO Nanowires by Chemical Bath Deposition: A Review on Doping and Functional Devices

Electron, EarlyView.
This review reports the most recent and well‐established state‐of‐the‐art and scientific challenges related to the doping of ZnO nanowires by chemical bath deposition, encompassing native point and hydrogen‐related defects, as well as extrinsic dopants.
Clément Lausecker, Adrien Baillard, Estelle Appert, Vincent Consonni   +3 more
wiley   +1 more source

Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels

Communications Engineering
Terahertz communications are envisioned as a promising technology for the sixth generation and beyond wireless systems, which can support wireless links with Terabits-per-second (Tbps) data rates.
Zhengdong Hu, Yuanbo Li, Chong Han
doaj   +1 more source

A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium

IEEE Open Journal of the Communications Society
Providing continuous bandwidth over several tens of GHz, the Terahertz (THz) band (0.1-10 THz) supports space-air-ground integrated network (SAGIN) in 6G and beyond wireless networks.
Zhirong Yang, Weijun Gao, Chong Han
doaj   +1 more source

Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai, Yuvaraja Shanmugam, A. Vivek Anand, Mesith Chaimanee, Choon Kit Chan, S. Prabhakar, R. Narayanamoorthi   +6 more
wiley   +1 more source

Distributionally Robust Federated Learning With Client Drift Minimization

IEEE Transactions on Machine Learning in Communications and Networking
Federated learning (FL) faces critical challenges, particularly in heterogeneous environments where non-independent and identically distributed (non-IID) data across clients can lead to unfair and inefficient model performance. We introduce DRDM, a novel
Mounssif Krouka, Chaouki Ben Issaid, Mehdi Bennis   +2 more
doaj   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source