Results 31 to 40 of about 3,660,974 (305)

Fuel Consumption Using OBD-II and Support Vector Machine Model

open access: yesJ. Robotics, 2020
This paper presents a method to estimate gasoline fuel consumption using the onboard vehicle information system OBD-II (Onboard Diagnoses-II). Multiple vehicles were used on a test route so that their consumption can be compared.
Tamer Abukhalil   +3 more
semanticscholar   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Voyage-based statistical fuel consumption models of ocean-going container ships in Korea

open access: yesMaritime Policy & Management, 2020
Accurately estimating fuel consumption of ships is crucial for shipping companies, port authorities, and environmental protection agencies. The bottom-up approach is becoming increasingly popular because it can estimate ship fuel consumption by ...
L. Le, Gunwoo Lee, Hwayoung Kim, S. Woo
semanticscholar   +1 more source

Mitochondrial fatty acid oxidation is stimulated by red light irradiation

open access: yesFEBS Letters, EarlyView.
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera   +4 more
wiley   +1 more source

Forecasting the Fuel Consumption of Passenger Ships with a Combination of Shallow and Deep Learning

open access: yesElectronics, 2020
An accurate fuel consumption prediction system for transportation units is the pillar that a more efficient fuel management can rely on. This in turn may eventually lead to cost and emission savings for the unit’s owner.
I. Panapakidis   +2 more
semanticscholar   +1 more source

The role of fibroblast growth factors in cell and cancer metabolism

open access: yesFEBS Letters, EarlyView.
Fibroblast growth factor (FGF) signaling regulates crucial signaling cascades that promote cell proliferation, survival, and metabolism. Therefore, FGFs and their receptors are often dysregulated in human diseases, including cancer, to sustain proliferation and rewire metabolism.
Jessica Price, Chiara Francavilla
wiley   +1 more source

Car Fuel Consumption in Urban Traffic. The Results of a Survey in Leeds using Instrumented Vehicles. [PDF]

open access: yes, 1982
The work reported here was part of a research project sponsored by the Science and Engineering Research Council to investigate the impact of traffic management schemes on fuel consumption. The report can be divided conveniently into two parts. In part I,
Ferreira, L.J.A.
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study

open access: yesAdvanced Engineering Materials, EarlyView.
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji   +5 more
wiley   +1 more source

A Comprehensive Review of Additive Manufacturing for Space Applications: Materials, Advances, Challenges, and Future Directions

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos   +8 more
wiley   +1 more source

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