Results 51 to 60 of about 12,573 (260)

A Neuro-Fuzzy Approach for Vehicle Fuel Consumption Prediction

Journal of Electrical Technology UMY, 2018
This paper presents a neuro-fuzzy approach for predicting vehicle fuel consumption. The prediction of fuel consumption of a vehicle has become a strategic issue. This is because it is not only related to the problem of the availability of fuel which is getting thinner but also the problem of the environmental impact caused.
Indah Soesanti, Ramadoni Syahputra
openaire   +2 more sources

Interaction‐Driven Assembly Pathways in Heterogeneous Active Microrobotic Systems

Advanced Functional Materials, EarlyView.
Peanut‐ and cube‐shaped light‐powered microrobots exhibit distinct magnetic and photocatalytic responses that determine their heterogeneous self‐assembly. In the dark, magnetic dipole interactions drive colloidal copolymerization with cubes acting as nucleation centers, whereas under light irradiation, phoretic interactions compete with magnetic ...
Domenico Calabrò, Roshan Velluvakandy, Martin Pumera, Francesco Priolo, Salvo Mirabella, Mario Urso   +5 more
wiley   +1 more source

Wearable OLED‐Assisted Photodynamic Cancer Therapy Using Chlorin e6‐Loaded Pluronic Nanocapsules as Photosensitizers

Advanced Healthcare Materials, EarlyView.
A novel photodynamic therapeutic approach has been employed for anticancer therapy, utilizing chlorin e6‐loaded Pluronic nanocapsules and a wearable organic light‐emitting diode light source. This has shown significant in vivo antitumor efficacy with minimal off‐target toxicity. The innovative combination of a wearable light source and photosensitizers
Hyeryeon Oh, Seung Min Jeong, Cheol Hui Park, Panmo Son, Yeseo Lee, Heebeom Koo, Won Il Choi, Kyung Cheol Choi   +7 more
wiley   +1 more source

Model-based estimation of light-duty vehicle fuel economy at high altitude

Advances in Mechanical Engineering, 2019
In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel
Lijun Hao, Chunjie Wang, Hang Yin, Chunxiao Hao, Haohao Wang, Jianwei Tan, Xin Wang, Yunshan Ge   +7 more
doaj   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Atomistic Mechanisms Triggered by Joule Heating Effects in Metallic Cu‐Bi Nanowires for Spintronics

Advanced Materials, EarlyView.
Bi doped metallic Cu nanowires are promising for spintronics thanks to the stabilization of a giant spin Hall effect. However, heat resulting from current injection forces Bi to leave solution, forcing segregation into monoatomic decorations which evolve into coherent crystalline aggregates.
Alejandra Guedeja‐Marrón, Juan Ignacio Beltrán, Matilde Saura‐Múzquiz, Paolo Perna, M. Carmen Muñoz, Lucas Pérez, Maria Varela   +6 more
wiley   +1 more source

A Real-Time Energy Management Strategy Based on Energy Prediction for Parallel Hybrid Electric Vehicles

IEEE Access, 2018
Hybrid electric vehicle (HEV) technology is an effective way to resolve the problems of energy consumption and air pollution. Energy management strategies are critical to the performance of HEVs.
Shaojian Han, Fengqi Zhang, Junqiang Xi
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach

Eng
Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea.
Junhao Chen, Yan Peng
doaj   +1 more source