Results 31 to 40 of about 12,371 (253)

Edge-facilitated Augmented Vision in Vehicle-to-Everything Networks [PDF]

IEEE Transactions on Vehicular Technology, 2020
IEEE Transactions on Vehicular Technology (accepted with minor revision)
Zhou, Pengyuan, Braud, Tristan, Zavodovski, Aleksandr, Liu, Zhi, Chen, Xianfu, Hui, Pan, Kangasharju, Jussi   +7 more
openaire   +3 more sources

Securing Vehicle-to-Everything (V2X) Communication Platforms

IEEE Transactions on Intelligent Vehicles, 2020
Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -- forms the vehicle-to-everything (V2X) communication platforms. Despite benefits, V2X applications also face great challenges to security and privacy -- a very valid concern since breaches are not uncommon in automotive ...
Monowar Hasan, Sibin Mohan, Takayuki Shimizu, Hongsheng Lu   +3 more
openaire   +2 more sources

MASTER SLAVE UNIT FOR VEHICLE TO EVERYTHING COMMUNICATION WITH GROUP KEY MANAGEMENT FOR TRAFFIC CONGESTION REDUCTION [PDF]

Proceedings on Engineering Sciences
Information and communication technologies (ICT) provide innovative solutions for transportation, improving vehicle mobility with regard to security, reliability and quality. Intelligent Transportation Systems (ITS), which encompass Vehicle to Everything
Spandana Mande , Nandha Kumar Ramachandran   +1 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +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

Environmental and Economic Impacts of V2X Applications in Electric Vehicles: A Long-Term Perspective for China

Energies
Electric vehicles (EVs) play a critical role in the transition to transportation electrification and are important for achieving carbon neutrality in this sector.
Yajie Hu, Richao Cong, Toru Matsumoto, Yajuan Li   +3 more
doaj   +1 more source

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

IEEE Access, 2021
Connected and fully automated vehicles are expected to revolutionize our mobility in the near future on a global scale, by significantly improving road safety, traffic efficiency, and traveling experience.
Alessandro Bazzi, Antoine O. Berthet, Claudia Campolo, Barbara Mavi Masini, Antonella Molinaro, Alberto Zanella   +5 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Metal Battery Anode: Rich in Electrons, Rich in Problems: A Critical Review from Industrial Perspectives

Advanced Science, EarlyView.
Metal‐anode batteries using Li, Na, Mg, and Ca offer exceptionally high energy density, but dendrites, unstable interphases, cracking, and pore formation hinder durability and safety. This review shows how careful electrolyte and interphase design can stabilize these reactive metals.
Jian Pan, Chan Shu, Oscar Tutusaus, Rana Mohtadi   +3 more
wiley   +1 more source