Results 91 to 100 of about 4,242,048 (285)

A Forecasting System for Car Fuel Consumption Using a Radial Basis Function Neural Network

, 2014
[[abstract]]A predictive system for car fuel consumption using a radial basis function (RBF) neural network is proposed in this paper. The proposed work consists of three parts: information acquisition, fuel consumption forecasting algorithm and ...
Wu, Jian-Da; Liu, Jun-Ching
core  

A Review on Catalytic Nanostructured Electrodes for Wearable and Implantable Abiotic Glucose Fuel Cells

Advanced Science, EarlyView.
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi, Hannah S. Leese, Benjamin Metcalfe, Mirella Di Lorenzo   +3 more
wiley   +1 more source

Energy parameter modeling in plug-in hybrid electric vehicles using supervised machine learning approaches

e-Prime: Advances in Electrical Engineering, Electronics and Energy
In this study, supervised machine learning techniques like random forest (RF), K-nearest neighbour (KNN), multiple linear regression (MLR), and artificial neural networks (ANNs) were used to predict energy parameters in plug-in hybrid electric vehicles ...
Bukola Peter Adedeji
doaj   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Explainable machine learning-based prediction of fuel consumption in ship main engines using operational data

Brodogradnja
A significant percentage of fuel consumption and emissions from transportation activities is related to maritime transportation. Hence, accurate prediction models for fuel consumption are quite important. Machine learning offers a data-driven approach to
Anh Tuan Hoang, Thi Anh Em Bui, Xuan Phuong Nguyen, Van Hung Bui, Quang Chien Nguyen, Thanh Hai Truong, Nghia Chung   +6 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Fuel consumption based on route choice [PDF]

, 2017
Advances in technology equip traffic domain with instruments to gather and analyze data for safe and fuel efficient traveling. This article elaborates on the effects from taxi drivers route selection on fuel efficiency. We fuse real driving behavior data
Keskinarkaus, Anja, Tamminen, Satu, Anagnostopoulos, Theodoros, Gilman, Ekaterina, Riekki, Jukka, Pirttikangas, Susanna   +5 more
core   +1 more source

Disrupted TFEB/GDNF–cAMP/ATP Coupling Underlies Astrocytic Dysfunction and Depression in LRRK2 G2019S Parkinson's Mice

Advanced Science, EarlyView.
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao, Maryam Hatami, Sumeyye Koc, Qing Jiang, Thomas Skutella, Yuanfeng Zhang   +5 more
wiley   +1 more source

Pre‐Regenerative Endothelial Cells Empowered by Antler Blood Exosomes Orchestrate Peripheral Nerve Repair

Advanced Science, EarlyView.
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang, Qiang Chen, Aihua Jin, Xiaoqi Yang, Hui Zhou, Weiquan Gong, Jin Cheng, Jun Dai, Minjin Wang, Meihua Piao, Yuanyi Wang, Nan Zhou   +11 more
wiley   +1 more source

LHV Predication Models and LHV Effect on the Performance of CI Engine Running with Biodiesel Blends [PDF]

, 2013
The heating value of fuel is one of its most important physical properties, and is used for the design and numerical simulation of combustion processes within internal combustion (IC) engines. Recently, there has been a significant increase in the use of
Gu, Fengshou, Ball, Andrew, Ball, A. D., Gu, F., Tesfa, Belachew, Tesfa, B., Mishra, Rakesh, Mishra, R.; id_orcid   +7 more
core   +1 more source