Estimating the density of deep eutectic solvents applying supervised machine learning techniques

M Abdollahzadeh, M Khosravi… - Scientific Reports, 2022 - nature.com
Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

NM Sham, A Mohamed - Sustainability, 2022 - search.proquest.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

[HTML][HTML] Combined septum and chamfer fins on threated stretching surface under the influence of nanofluid and the magnetic parameters for rotary seals in computer …

P Shadman, Z Parhizi, R Fathollahi, M Zarinfar… - Alexandria Engineering …, 2023 - Elsevier
In this paper, variation of temperature and velocity in the x-direction and the angular velocity
of the nanofluids flow through triangular and rectangular and chamfer fins are investigated in …

Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods

SMS Alizadeh, Z Parhizi, AH Alibak, B Vaferi… - International Journal of …, 2022 - Elsevier
This study predicts the hydrogen uptake ability of 28 zeolites using artificial neural networks.
The topology-related features of four artificial neural networks and their hyper-parameters …

Climate change sentiment analysis using lexicon, machine learning and hybrid approaches

N Mohamad Sham, A Mohamed - Sustainability, 2022 - mdpi.com
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …

Integration of computer vision and convolutional neural networks in the system for detection of rail track and signals on the railway

AD Petrović, M Banić, M Simonović, D Stamenković… - Applied Sciences, 2022 - mdpi.com
One of the most challenging technical implementations of today is self-driving vehicles. An
important segment of self-driving is the ability of the computer to “see/detect” objects of …

Force control of in-wheel-motored electric vehicles—Hand-assisted position adjustment based on impedance control—

T Emmei, H Fujimoto - IEEJ Journal of Industry Applications, 2020 - jstage.jst.go.jp
Electric vehicles (EVs) are gaining attention, and novel use of cars such as vehicle-to-home
is becoming widespread. In particular, in-wheel-motor (IWM) type EVs, which have four …

Green adsorbents and solvents in food analysis

HU Haq, MS Khan, MJ Khan, MB Arain - Green Chemistry in Food Analysis, 2024 - Elsevier
Green analytical chemistry aims to minimize the negative impact of analytical procedures on
the environment and human health. This can be achieved through the use of non-toxic and …

Proposal of impedance control for electric vehicles with wheel resolver-application to hand assisted parking and position adjustment

T Enmei, H Fujimoto, Y Hori - IECON 2016-42nd Annual …, 2016 - ieeexplore.ieee.org
Electric vehicles (EVs) have an advantage over internal combustion vehicles in that the
forces applied to the wheel can be estimated from the wheel velocity and input torque. By …

Reduction of impact force by model prediction and final-state control for a high precision catapult stage

Y Yazaki, H Fujimoto, K Sakata… - IECON 2016-42nd …, 2016 - ieeexplore.ieee.org
The catapult stage is a high-precision dual stage with a new structure which, by allowing
contact between fine and coarse parts, is compatible with increasing size and acceleration …