Results 121 to 130 of about 81,844 (303)

Autonomous Vehicle Fuel Economy Optimization with Deep Reinforcement Learning

, 2020
The ever-increasing number of vehicles on the road puts pressure on car manufacturers to make their car fuel-efficient. With autonomous vehicles, we can find new strategies to optimize fuels. We propose a reinforcement learning algorithm that trains deep
Jin Young Hwang, Sejoon Lim, Jong Sool Park, Hyunkun Kim, Hyeongoo Pyeon   +4 more
core   +1 more source

Hierarchical MXene‐Derived NTP/C Nanohybrids for Cryogenic Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A hierarchical MXene‐derived NaTi2(PO4)3/C nanohybrid enables efficient sodium‐ion storage down to −40°C by integrating fast ion–electron transport pathways with an ether‐based electrolyte. The system promotes dominant pseudocapacitive behavior and forms a robust inorganic‐rich SEI, collectively mitigating kinetic and interfacial limitations, thereby ...
M. Sai Bhargava Reddy, Mohammad Zaid, Sayan Das, Sooryadas Sudhakaran, Shampa Aich, Vilas G. Pol   +5 more
wiley   +1 more source

Stress Evolution and Integrity Evaluation of Cement Sheath Under Alternating Temperature–Pressure Coupled Loads During Multi-Stage Fracturing in Shale Gas Wells

Applied Sciences
Based on measured data from a shale gas well, this study develops a wellbore temperature cycle model and a temperature–pressure coupled finite element model to evaluate cement sheath stress during multi-stage fracturing.
Mingxin Jiang, Yumei Li, Shengzhe Huo, Hailong Jiang, Yan Xi   +4 more
doaj   +1 more source

Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization

Advanced Functional Materials, EarlyView.
We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat, Alexander Peraire‐Bueno, A. John Hart, Randall M. Erb   +3 more
wiley   +1 more source

Mechanical and Electrical Phenotype of hiPSC‐Cardiomyocytes on Fibronectin‐Based Hydrogels

Advanced Healthcare Materials, EarlyView.
We introduce fibronectin‐based PEG hydrogels with controlled rigidity to enable the culture of iPSC‐derived cardiomyocytes. These substrates offer an alternative to the current culture of these cells on fibronectin‐coated glass, providing enhanced structural and functional behavior. The system provides a more physiologically relevant platform to assess
Ana Da Silva Costa, Lineta Stonkute, Sara Trujillo, Mariana Azevedo Gonzalez Oliva, Francis Burton, Matthew J. Dalby, Oana Dobre, Godfrey Smith, Manuel Salmeron‐Sanchez   +8 more
wiley   +1 more source

Road Accident Analysis and Prevention Using Autonomous Vehicles with Application for Montreal

Road safety in cities is becoming a bigger concern worldwide. As more people own cars and traffic congestion increases on old roads, the risk of accidents also grows, which severely affects victims and their families. In 2023, data from the Sociét&
Manmeet Singh, Anjali Awasthi
core   +1 more source

Analysis of Safety Benefits and Security Concerns from the Use of Autonomous Vehicles: A Grouped Random Parameters Bivariate Probit Approach with Heterogeneity in Means

, 2020
This paper investigates public perceptions towards potential safety benefits, and safety- and security-related concerns from the future use of autonomous vehicles by utilizing data collected from an online survey.
Anastasopoulos, Panagiotis Ch., Eker, Ugur, Fountas, Grigorios, Ahmed, Sheikh Shahriar, Still, Stephen E., Pantangi, Sarvani Sonduru   +5 more
core   +1 more source

On Mixed-Initative Planning and Control for Autonomous Underwater Vehicles

Supervision and control of Autonomous underwater vehicles (AUVs) has traditionally been focused on an operator determining a priori the sequence of waypoints of a single vehicle for a mission.
Chrpa, Lukáš, Py, Frederic, Ribeiro, Manuel, Pinto, Jose, Sousa, Joao, Rajan, Kanna   +5 more
core  

Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy

Advanced Healthcare Materials, EarlyView.
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima, Sarmila Majumder, Divya S. Patel, Chunyu Hu, Hong Li, Xin Huang, Kim Truc Nguyen, Jacob Doon‐Ralls, Chiranth K. Nagaraj, Mangesh D. Hade, Setty M. Magaña, Eswar Shankar, Xiaoli Zhang, Daniel G. Stover, Bhuvaneswari Ramaswamy, Eduardo Reátegui   +15 more
wiley   +1 more source

A Systematic Review of the Impact of Autonomous Vehicles on Transportation Networks

Journal of Sustainable Development of Energy, Water and Environment Systems
The widespread adoption of Autonomous Vehicles made it crucial for researchers to understand how Autonomous Vehicles affect transportation networks. When studying the impact of Autonomous Vehicles on transportation networks, it is essential to consider ...
Reem Adam, Ahmed Alhammadi, Akmal Abdelfatah, Tarig Ali   +3 more
doaj   +1 more source