Academic literature on the topic 'MATERN 5/2 GPR'

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Journal articles on the topic "MATERN 5/2 GPR"

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Hossain, SK Safdar, Bamidele Victor Ayodele, and Abdulrahman Almithn. "Predictive Modeling of Bioenergy Production from Fountain Grass Using Gaussian Process Regression: Effect of Kernel Functions." Energies 15, no. 15 (2022): 5570. http://dx.doi.org/10.3390/en15155570.

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Experimental studies have shown that bioethanol production from biomass sources has been reported to be influenced by several process parameters. It is not entirely known, however, how the interaction of these factors affects the concentration of bioethanol production. In this study, the use of Gaussian Process Regression (GPR) in predictive modeling of bioethanol production from fountain grass has been investigated. Parametric analysis showing the interaction effect of time, pH, temperature, and yeast extract on the bioethanol production was examined. The effect of kernel functions on the per
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Ekanayake, Piyal, Lasini Wickramasinghe, and Jeevani W. Jayasinghe. "Development of Crop-Weather Models Using Gaussian Process Regression for the Prediction of Paddy Yield in Sri Lanka." International Journal of Intelligent Systems and Applications 14, no. 4 (2022): 52–665. http://dx.doi.org/10.5815/ijisa.2022.04.05.

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This research introduces machine learning models using the Gaussian Process Regression (GPR) depicting the association between paddy yield and weather in Sri Lanka. All major regions in the island with most contribution to the total paddy production were considered in this research. The climatic factors of rainfall, relative humidity, minimum temperature, maximum temperature, average wind speed, evaporation, and sunshine hours were considered as input (independent) variables, while the paddy yield was the output (dependent) variable. The collinearity within each pair of independent and depende
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Adebayo, Segun, Francis O. Aweda, Isaac A. Ojedokun, and James A. Agbolade. "Meteorological data prediction over selected stations in Sub-Sahara Africa: Leveraging on Machine Learning Algorithm." Ruhuna Journal of Science 13, no. 2 (2022): 129–40. http://dx.doi.org/10.4038/rjs.v13i2.120.

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This study investigated selected meteorological data prediction leveraging on a Machine Learning Algorithm Approach over five selected stations in Nigeria. The algorithm of Machine Learning was explored using weather parameters such as temperature, wind speed, wind direction and relative humidity to predict the rainfall rate. In the results, five Gaussian models (i.e., Rational Quadratic, Squared Exponential, Matern 5/2, Exponential and Optimized GPR) revealed different Root Mean Square Error (RMSE), Mean Square Error (MSE), and Mean Absolute Error (MAE) with prediction speeds ranging from 150
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Pustokhina, Inna, Amir Seraj, Hafsan Hafsan, Seyed Mojtaba Mostafavi, and S. M. Alizadeh. "Developing a Robust Model Based on the Gaussian Process Regression Approach to Predict Biodiesel Properties." International Journal of Chemical Engineering 2021 (June 4, 2021): 1–12. http://dx.doi.org/10.1155/2021/5650499.

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Biodiesel is assumed a renewable and environmentally friendly fuel that possesses the potential to substitute petroleum diesel. The basic purpose of the present study is to design a precise algorithm based on Gaussian Process Regression (GPR) model with several kernel functions, i.e., Rational Quadratic, Squared Exponential, Matern, and Exponential, to estimate biodiesel properties. These properties include kinematic viscosity (KV), pour point (PP), iodine value (IV), and cloud point (CP) as a function of fatty acid composition. In order to develop this model, some variables are assumed, such
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Wang, Shicheng, Wei Li, and Issam Alruyemi. "On the Investigation of Effective Factors on Higher Heating Value of Biodiesel: Robust Modeling and Data Assessments." BioMed Research International 2021 (July 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/4814888.

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Higher heating value (HHV) is one of the properties of biomass fuels which is essential in investigating their special characteristics and potentialities. In this paper, various techniques based on Gaussian process regression (GPR) were utilized to assess this value for biomass fuels, including several kernel functions, i.e., exponential, Matern, rational quadratic, and squared exponential. An extensive databank was collected from literature. The findings were compared, and the results indicated that Exponential-based model was more accurate, with the coefficient of regression ( R 2 ) of 0.961
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Elbeltagi, Ahmed, Nikul Kumari, Jaydeo Dharpure, et al. "Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) over Large River Basin Based on Machine Learning Approaches." Water 13, no. 4 (2021): 547. http://dx.doi.org/10.3390/w13040547.

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Drought is a fundamental physical feature of the climate pattern worldwide. Over the past few decades, a natural disaster has accelerated its occurrence, which has significantly impacted agricultural systems, economies, environments, water resources, and supplies. Therefore, it is essential to develop new techniques that enable comprehensive determination and observations of droughts over large areas with satisfactory spatial and temporal resolution. This study modeled a new drought index called the Combined Terrestrial Evapotranspiration Index (CTEI), developed in the Ganga river basin. For t
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Krueger, Lori E., Jui-Ching Wu, Meng-Fu Bryan Tsou, and Lesilee S. Rose. "LET-99 inhibits lateral posterior pulling forces during asymmetric spindle elongation in C. elegans embryos." Journal of Cell Biology 189, no. 3 (2010): 481–95. http://dx.doi.org/10.1083/jcb.201001115.

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Cortical pulling on astral microtubules positions the mitotic spindle in response to PAR polarity cues and G protein signaling in many systems. In Caenorhabditis elegans single-cell embryos, posterior spindle displacement depends on Gα and its regulators GPR-1/2 and LIN-5. GPR-1/2 and LIN-5 are necessary for cortical pulling forces and become enriched at the posterior cortex, which suggests that higher forces act on the posterior spindle pole compared with the anterior pole. However, the precise distribution of cortical forces and how they are regulated remains to be determined. Using spindle
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Kiehn, O., and R. M. Harris-Warrick. "Serotonergic stretch receptors induce plateau properties in a crustacean motor neuron by a dual-conductance mechanism." Journal of Neurophysiology 68, no. 2 (1992): 485–95. http://dx.doi.org/10.1152/jn.1992.68.2.485.

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1. The mechanisms for induction of bistable plateau potential properties by a set of serotonergic/cholinergic peripheral stretch receptor cells [gastropyloric receptor (GPR) cells] were examined in the crab stomatogastric ganglion (STG) with the use of intracellular recording techniques. 2. GPR cell stimulation evoked nicotinic excitatory postsynaptic potentials (EPSPs) and induced plateau potential capability in the dorsal gastric (DG) motor neuron. The plateau potential could be triggered during a GPR train either by the summating nicotinic EPSPs or by brief intracellular current injection.
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Zhang, B., and R. M. Harris-Warrick. "Multiple receptors mediate the modulatory effects of serotonergic neurons in a small neural network." Journal of Experimental Biology 190, no. 1 (1994): 55–77. http://dx.doi.org/10.1242/jeb.190.1.55.

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The gastropyloric receptor (GPR) cells are a set of cholinergic/serotonergic mechanosensory neurons that modulate the activity of neural networks in the crab stomatogastric ganglion (STG). Stimulation of these cells evokes a variety of slow modulatory responses in different STG neurons that are mimicked by exogenously applied serotonin (5-HT); these responses include tonic inhibition, tonic excitation and induction of rhythmic bursting. We used pharmacological agonists and antagonists to show that these three classes of modulatory response in the STG neurons are mediated by distinct 5-HT recep
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Nugroho, Untoro, and Norick Cahya Jonathan Susanto. "Comparison of GPR (Ground Penetrating Radar) Penetration Results Using the GCB-400 Antenna on Flexible and Rigid Pavement." IOP Conference Series: Earth and Environmental Science 1203, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1755-1315/1203/1/012022.

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Abstract GPR (Ground Penetrating Radar) has been known as a tool used in non-destructive testing or in other words GPR can find out the conditions below the surface without damaging the layer above it. The GPR method is generally applied to roads namely flexible pavements and rigid pavements. This method has non-destructive properties because it utilizes electromagnetic waves in its operation, such as detecting the presence of objects or constituent layers at a certain depth. The penetration depth that can be achieved by GPR is influenced by three physical parameters, namely conductivity, rela
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Dissertations / Theses on the topic "MATERN 5/2 GPR"

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BOBAN, AMMU. "DYNAMIC ANALYSIS OF CONFINED GEOMATERIAL SUBJECTED TO VIBRATORY LOADING." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20018.

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The reinforcement using single-layer geogrid on a confined geomaterial is an effective way of solving practical problems. With the use of multi-layered reinforcement, this study aims to offer a superior alternative design for supporting heavy loads on geomaterial. The location of reinforcement plays a crucial role in the overall strength. The experimental investigations were conducted on poorly graded sand (SP) whose angle of internal friction and cohesion are 36.6º and 4.4 kPa, respectively. The effect of single-layer geogrid reinforcement placed at different depths of the geomate
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Book chapters on the topic "MATERN 5/2 GPR"

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Laletsang, Kebabonye, and Baram Montshiwa. "Case Study." In Advances in Geospatial Technologies. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3440-2.ch014.

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A geophysical survey was carried out in 2012 to map the subsurface geology at a quarry and the village to determine if an alleged damage to houses could have been caused by blasting activity in the quarry. The survey included seismic refraction and reflection recorded with the same spread at source and receiver spacing of 2 m, 3 m, and 5 m. The signal source was a 28-lb. sledge hammer stacked 10 times to increase the S/N. Ground penetrating radar (GPR) was also recorded at a trace spacing of 0.3 m to provide detailed images of the subsurface near the damaged buildings using a 50 MHz unshielded antenna. The seismic refraction and reflection profiles show that the village is underlain by 0-4 m of loose sand, 4-10 m of fractured calcrete, and up to 50 m of fractured silcrete, with the groundwater table at 10-15 m. The GPR images show that the damaged houses sit on thick sand, which cushions them against severe ground vibration. The houses were found to have suffered more damage on the superstructure and this is possibly due to ground vibration amplification at low frequencies of 30-40 Hz.
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Zhou, Chenxi, and Gang Shen. "Tracking Underground Metro Cars with Low-Cost Acceleration Sensors." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210103.

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Subways and other rapid transit systems are marked symbols of the modern metropolis. As a transdisciplinary service, accurately and safely positioning and tracking the metro trains helps the passengers to plan their travels and provides the operators with auxiliary information about the trains to enhance the metro system’s resilience. However, many general-purpose positioning technologies, such as Global Navigation Satellite Systems (GNSS) and Wi-Fi signals, do not apply to the situations of underground metro trains. In this paper, we propose a two-stage framework for automatic real-time tracking of metro cars implemented only with low-cost accelerometers, saving the expense for complicated infrastructures. In the off-line stage, reference maps are developed for station-to-station track sections using the onboard acceleration data. To handle the missing data and uncalibrated consumer-grade sensors, Gaussian process regression (GPR) is adopted to denoise and interpolate the online acceleration readings, followed by the application of the Kalman filter algorithm to track the cars in real-time with the help of the reference map. We tested the proposed system in Wuhan Metro Line 2, and the results showed that our system achieved an error below 5% in positioning.
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Conference papers on the topic "MATERN 5/2 GPR"

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Pal, Basudha, Vikas R. Bhat, and Anitha H. "The SIUQRD and Matern 5/2 GPR Models describing the Covid-19 Pandemic in India." In 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2021. http://dx.doi.org/10.1109/icecct52121.2021.9616706.

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Reports on the topic "MATERN 5/2 GPR"

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Gupta, Kanika, Sung Soo Park, Antonio Bobet, and Tommy Nantung. Improved Reliability of FWD Test Results and Correlations with Resilient Modulus. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317370.

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Resilient modulus (MR) is a key factor in the Mechanistic Empirical Pavement Design Guide (MEPDG) which was adopted by INDOT in January 2009. The resilient modulus can be determined in new pavement projects from subgrade soil samples collected at the site. However, for a pavement rehabilitation project, it becomes difficult to obtain soil information, and coring for samples may not be feasible because of traffic. The literature is rich with correlations between the MR of the subgrade obtained in the laboratory with that estimated from FWD tests in the field. However, the review conducted shows
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