Results 151 to 160 of about 66,599 (306)

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Array antenna with series-fed configuration providing high radiation performances for automotive radar in IoT applications. [PDF]

Sci Rep
Zakeri H, Parvaneh M, Moradi G, Alibakhshikenari M, Virdee BS, Dalarsson M.   +5 more
europepmc   +1 more source

Neurorobotics for automotive manufacturing industry in era of embodied intelligence: a mini review. [PDF]

Front Neurorobot
Zhang B, Xia Q.
europepmc   +1 more source

Intelligent performance prediction of nanoparticle-enhanced automotive radiator cooling using CFD and machine learning. [PDF]

Sci Rep
Satpute JB, Saini DKJB, Sharma P, Rai BK, Thorat PM, Kumar G, Dilip K.   +6 more
europepmc   +1 more source

Impact of Cattaneo–Christov Heat and Mass Flux on MHD Hybrid Nanofluid Flow Over an Extending Surface With Convective and Mass Flux Effects

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study investigates the flow of a magnetized hybrid nanofluid over a permeable stretching surface. The mass and thermal transport within the system is regulated using the Cattaneo–Christov flux theory. The fluid is additionally subjected to thermophoresis, chemical reaction, Brownian motion, and activation energy effects.
Ebrahem A. Algehyne, Abdul Bariq, Mounirah Areshi, Fahad Maqbul Alamrani, Zehba Raizah, Izharul Haq, Anwar Saeed   +6 more
wiley   +1 more source

Transforming the automotive industry: Defining, clustering, and efficiency analysis of the next-generation automotive ecosystem. [PDF]

PLoS One
Shon M, Kim J, Kim H.
europepmc   +1 more source

Experimental Characterization of Thermal, Acoustic, Magnetic, and Electrical Properties of Additive Manufactured Composites Reinforced With Ceramic Powders for Robotic Arms

Journal of Applied Polymer Science, Volume 142, Issue 16, April 20, 2025.
ABSTRACT An extensive experimental analysis was conducted to assess the thermal, acoustic, magnetic, and electrical properties of composite materials reinforced with varying ratios of silicon carbide (SiC) and alumina (Al₂O₃) powders, with a focus on enhancing the functionality of robotic arms.
Merdan Özkahraman, Mevlüt Yunus Kayacan, Ali Nadi Kaplan   +2 more
wiley   +1 more source

Energy Absorption of Curvilinear Hybrid Auxetic Honeycombs. [PDF]

Materials (Basel)
Li S, Qiu N, Liu W, Yang J, Gao Q.
europepmc   +1 more source

Preparation of MOEAMCl and MAAm Based Hydrogels and Effective Use in Anionic Dye Adsorption

Journal of Applied Polymer Science, Volume 142, Issue 16, April 20, 2025.
ABSTRACT In this study, hydrogels based on [2‐(Methacryloyloxy)ethyl]trimethylammonium chloride (MOEAMCl) and methacrylamide (MAAm) were synthesized for the removal of anionic dyes from aqueous solutions. Following detailed characterization, the use of hydrogels for methyl orange (MO) adsorption was investigated.
Hilal Nur Duykop Demir, Ali Delibaş, Ayşe Benk, Ramazan Coşkun   +3 more
wiley   +1 more source

The introduction of a Sound Quality Engineering Process to Jaguar Cars : executive summary [PDF]

The control of the noise and vibration generated by an automobile is referred to as Noise, Vibration and Harshness (NVH) engineering. It involves identifying the design detail required to reduce the noise and vibration inside the passenger compartment ...
Dunne, Gerard T.
core