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Now showing items 191-200 of 1399
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
(
Elsevier
, 2022 , Article)
Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
A comparative analysis to forecast carbon dioxide emissions
(
Elsevier Ltd
, 2022 , Article)
Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ...
A method of chained recommendation for charging piles in internet of vehicles
(
Springer
, 2021 , Article)
With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing ...
Modelling fatigue uncertainty by means of nonconstant variance neural networks
(
Wiley
, 2022 , Article)
The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...
Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper proposes a Bayesian approach for angle-based hybrid beamforming and tracking that is robust to uncertain or erroneous direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple ...
Enhancing the electrocoagulation process for harvesting marine microalgae (Tetraselmis sp.) using interdigitated electrodes
(
Elsevier
, 2021 , Article)
Marketable value of algal biomass has been increasing in recent years due to its wide range of applications. This study investigates the performance of a novel cylindrical interdigitated electrode array in electrocoagulation ...
Optimization of a Fuel Cost and Enrichment of Line Loadability for a Transmission System by Using Rapid Voltage Stability Index and Grey Wolf Algorithm Technique
(
MDPI
, 2022 , Article)
Efficient transmission of power is a pressing concern in modern power systems as it could relieve additional investments (e.g., right of way) and may improve stability. Non-uniform loading of transmission lines (which ...
Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks
(
Elsevier Ltd
, 2023 , Article)
Modern power grid is a generation mix of conventional generation facilities and variable renewable energy resources (VRES). The complexity of such a power grid with generation mix has routed the utilization of infrastructures ...
A study on the determinants of Ethiopian minibus taxi drivers' speeding behaviour: An application of the 'major theorists' model
(
Elsevier B.V.
, 2022 , Article)
Speeding is the most common road safety problem that results in many traffic accidents in Addis Ababa, Ethiopia. Minibus taxis substantially contribute to speed-related road traffic crashes in Addis Ababa. This study aimed ...