Results 51 to 60 of about 24,577,898 (230)

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Towards the traffic hole problem in VANETs

open access: yes, 2012
9th ACM International Workshop on VehiculAr Inter-NETworking, Systems, and Applications, VANET'12, Low Wood Bay, Lake District, 25 June 2012The data delivery in Vehicular Ad-hoc Networks which is based on the infrastructure-less vehicle-to-vehicle (V2V ...
Liu, Ming   +14 more
core   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

open access: yesAdvanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco   +8 more
wiley   +1 more source

Limits of predictability for large-scale urban vehicular mobility

open access: yes, 2014
Key challenges in vehicular transportation and communication systems are understanding vehicular mobility and utilizing mobility prediction, which are vital for both solving the congestion problem and helping to build efficient vehicular communication ...
Chen, Sheng   +4 more
core   +1 more source

Raptor codes for infrastructure-to-vehicular broadcast services [PDF]

open access: yes, 2011
One of the important applications to be available in vehicular ad-hoc networks are value-added or infotainment services. However, vehicular communication suffers from high packet loss due to challenging channel characteristics such as huge Doppler spread
Piechocki, RJ   +5 more
core   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Polymeric Sorbents as Energy‐Efficient Alternative to Cryogenic Distillation for Light Hydrocarbon Purification

open access: yesAdvanced Materials, EarlyView.
The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus   +9 more
wiley   +1 more source

A content dissemination framework for vehicular networking [PDF]

open access: yes, 2010
Vehicular Networks are a peculiar class of wireless mobile networks in which vehicles are equipped with radio interfaces and are, therefore, able to communicate with fixed infrastructure (if available) or other vehicles.
Leontiadis, I.
core  

Vehicular Inter-Networking via Named Data

open access: yes, 2013
International audienceIn this paper we apply the Named Data Networking, a newly proposed Internet architecture, to networking vehicles on the run. Our design, V-NDN , illustrates NDN's promising potential to providing a unifying architecture that enables
Wakikawa, Ryuji   +6 more
core   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy