Results 161 to 170 of about 126,961 (259)

Federated Learning over MU-MIMO Vehicular Networks. [PDF]

Entropy (Basel)
Raftopoulou M, da Silva JMB, Litjens R, Poor HV, Van Mieghem P.   +4 more
europepmc   +1 more source

CM-CPPA: Chaotic Map-Based Conditional Privacy-Preserving Authentication Scheme in 5G-Enabled Vehicular Networks. [PDF]

Sensors (Basel), 2022
Al-Shareeda MA, Manickam S, Mohammed BA, Al-Mekhlafi ZG, Qtaish A, Alzahrani AJ, Alshammari G, Sallam AA, Almekhlafi K.   +8 more
europepmc   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

BHFVAL: Block chain-Enabled Hierarchical Federated Variational Auto encoder Framework for Secure Intrusion Detection in Vehicular Networks. [PDF]

Sci Rep
Visuvanathan GE, Sayeed MS, Yogarayan S.
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Efficient traffic management with adaptive SDN in vehicular networks. [PDF]

Sci Rep
Rajan SJ, Narayanaswamy S, Balashanmugam T, Sengottaiyan K, Selvaraj A, Majumder P, Al-Rasheed A, Getahun M, Soufiene BO.   +8 more
europepmc   +1 more source

Towards the Design of Efficient and Secure Architecture for Software-Defined Vehicular Networks. [PDF]

Sensors (Basel), 2021
Adnan M, Iqbal J, Waheed A, Amin NU, Zareei M, Umer A, Mohamed EM.   +6 more
europepmc   +1 more source

Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations

Advanced Materials, EarlyView.
Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu, Zidong Chen, Yixian Wang, Haorui Hou, Bingcheng Chen, David Mitlin, Wei Liu   +6 more
wiley   +1 more source

Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]

Sci Rep
Liu Q, Ma Y.
europepmc   +1 more source

QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing. [PDF]

Sensors (Basel), 2022
Syed SA, Rashid M, Hussain S, Azim F, Zahid H, Umer A, Waheed A, Zareei M, Vargas-Rosales C.   +8 more
europepmc   +1 more source