Coefficient of determination
View article: Hydrological Model for Estimating Volume of Inflow into the Peppara Dam Reservoir Using GIS and SWAT
Hydrological Model for Estimating Volume of Inflow into the Peppara Dam Reservoir Using GIS and SWAT Open
This article presents an application of SWAT model to simulate and predict the volume of inflow into Peppara dam reservoir. The model was calibrated and validated using SWAT CUP (SWAT-Calibration Uncertainty Programs). The calibratio…
View article: Hydrological Model for Estimating Volume of Inflow into the Peppara Dam Reservoir Using GIS and SWAT
Hydrological Model for Estimating Volume of Inflow into the Peppara Dam Reservoir Using GIS and SWAT Open
This article presents an application of SWAT model to simulate and predict the volume of inflow into Peppara dam reservoir. The model was calibrated and validated using SWAT CUP (SWAT-Calibration Uncertainty Programs). The calibration was …
View article: Compressive Strength of Geopolymer Concrete Prediction Using Machine Learning Methods
Compressive Strength of Geopolymer Concrete Prediction Using Machine Learning Methods Open
The implementation of machine learning methods as one of the artificial intelligence technologies has allowed bringing the construction process to a new qualitative level. Significant interest in these methods is observed in predictive mod…
View article: Mapping soil salinity using machine learning and remote sensing data in semi-arid croplands
Mapping soil salinity using machine learning and remote sensing data in semi-arid croplands Open
Soil salinity significantly constrains agricultural productivity and land sustainability, particularly in irrigated areas. While, remote sensing offers large-scale monitoring capacity, but its accuracy depends on how effectively spectral i…
View article: Application of Machine Learning-Based Regression Model to rGO-SnO<sub>2</sub> Nanohybrid-Based Gas Sensor Analysis
Application of Machine Learning-Based Regression Model to rGO-SnO<sub>2</sub> Nanohybrid-Based Gas Sensor Analysis Open
Designing a model that utilizes previously reported experimental data on graphene and metal oxide nanoparticle-based hybrids and nanocomposites to predict the gas sensor response can be a promising approach for developing innovative and ef…
View article: Interlinking stream morphology, water quality, and re-aeration rates: A semi-empirical modeling study of Ekulu Stream, Nigeria
Interlinking stream morphology, water quality, and re-aeration rates: A semi-empirical modeling study of Ekulu Stream, Nigeria Open
Global population explosions coupled with increase in industrial activities have resulted in a corresponding rise in effluent discharge which end up in streams and rivers. Re-aeration rate plays a vital role in the self-purification of the…
View article: Individual-Tree Crown Width Prediction for Natural Mixed Forests in Northern China Using Deep Neural Network and Height Threshold Method
Individual-Tree Crown Width Prediction for Natural Mixed Forests in Northern China Using Deep Neural Network and Height Threshold Method Open
Crown width (CW) is a critical metric for characterizing tree-canopy dimensions; however, its direct measurement remains labor-intensive and is often impractical in inaccessible crowns. Consequently, CW is frequently derived from projectio…
View article: APLICAÇÃO DE APRENDIZADO DE MÁQUINA NA PREDIÇÃO DE VISCOSIDADE DE PASTAS CERÂMICAS PARA MANUFATURA ADITIVA
APLICAÇÃO DE APRENDIZADO DE MÁQUINA NA PREDIÇÃO DE VISCOSIDADE DE PASTAS CERÂMICAS PARA MANUFATURA ADITIVA Open
APPLICATION OF MACHINE LEARNING IN PREDICTING THE VISCOSITY OF CERAMIC PASTES FOR ADDITIVE MANUFACTURING Abstract. The use of ceramic pastes with appropriate rheological properties in additive manufacturing processes is essential to ensure…
View article: Study on the Estimation of Greenhouse Sensible Heat Flux Based on the Surface Renewal Method: Validation and Calculation Results
Study on the Estimation of Greenhouse Sensible Heat Flux Based on the Surface Renewal Method: Validation and Calculation Results Open
To address the issues of poor universality, high cost, and difficulty in parameter acquisition associated with existing methods for estimating crop evapotranspiration (ETc) in greenhouses, this study focused on tomato plants in a Venlo-typ…
View article: Methodology for determining runoff coefficients based on rainfall depth and sensitivity analysis of influencing factors
Methodology for determining runoff coefficients based on rainfall depth and sensitivity analysis of influencing factors Open
The roof runoff coefficient (RC) is a critical design parameter for roof rainwater harvesting systems (RRHS), traditionally derived from standard norms with limited accuracy. This study investigates the influencing factors and determinatio…
View article: Joint Classification and Regression Deep Learning Model for Universal Phase-based Ranging in Multiple Environments
Joint Classification and Regression Deep Learning Model for Universal Phase-based Ranging in Multiple Environments Open
Phase-Based Ranging (PBR) offers several advantages for estimating distances between wirelessly connected devices, including high accuracy over large distances and the removal of the need for antenna arrays at each transceiver. This study …
View article: Joint Classification and Regression Deep Learning Model for Universal Phase-based Ranging in Multiple Environments
Joint Classification and Regression Deep Learning Model for Universal Phase-based Ranging in Multiple Environments Open
Phase-Based Ranging (PBR) offers several advantages for estimating distances between wirelessly connected devices, including high accuracy over large distances and the removal of the need for antenna arrays at each transceiver. This study …
View article: NIRS chemometrics for rapid nutritional profiling of vegetable pea (Pisum sativum L.) germplasm
NIRS chemometrics for rapid nutritional profiling of vegetable pea (Pisum sativum L.) germplasm Open
Vegetable pea (Pisum sativum L.) is a nutritionally rich food source with a balanced profile of macronutrients and micronutrients, contributing multiple health benefits and plays a crucial role in combating nutritional deficiencies. Its nu…
View article: Saffron sporopollenin modified with graphene oxide for efficient extraction of acetaminophen from serum using deep eutectic solvent prior to HPLC
Saffron sporopollenin modified with graphene oxide for efficient extraction of acetaminophen from serum using deep eutectic solvent prior to HPLC Open
A facile and environmentally benign or "green" analytical method was developed for the extraction of acetaminophen (APAP) from human blood serum. Fe3O4-saffron stamen sporopollenin/graphene oxide (Fe3O…
View article: A Comparative Statistical Analysis of Machine Learning Regression Models for Economic Indicator Forecasting
A Comparative Statistical Analysis of Machine Learning Regression Models for Economic Indicator Forecasting Open
Accurate forecasting of economic indicators is essential for informed policy-making and strategic financial planning. This study presents a comprehensive comparative statistical analysis of multiple machine learning regression models—inclu…
View article: Development of an Optimization Method for Dry-Type Rice Straw Modeling Considering Mechanical Properties Using the Discrete Element Method
Development of an Optimization Method for Dry-Type Rice Straw Modeling Considering Mechanical Properties Using the Discrete Element Method Open
Accurate load prediction is essential for optimizing the performance and design of agricultural machinery. However, obtaining field-based load data is challenging due to the limited harvesting period of crops. To address this, the Discrete…
View article: Bio-Methanization of Sheep Manure and Beet Waste in the Meknes–Fès Region, Morocco: Effects of Pretreatment and Machine Learning Applications for Biochemical Methane Potential Prediction
Bio-Methanization of Sheep Manure and Beet Waste in the Meknes–Fès Region, Morocco: Effects of Pretreatment and Machine Learning Applications for Biochemical Methane Potential Prediction Open
Sheep manure and beet waste (the uneatable leaf part of the beet) are promising feedstock for biogas production due to their abundance and organic richness. However, their high lignocellulosic content reduces anaerobic digestibility and co…
View article: Identification of key fetometric markers for predicting newborn weight based on ultrasound fetometry using classical and machine learning algorithms
Identification of key fetometric markers for predicting newborn weight based on ultrasound fetometry using classical and machine learning algorithms Open
The aim of the study was to identify key fetometric markers in predicting fetal and newborn weight. Methods. The study used data from 5,161 full-term newborns and 8,022 ultrasound examinations conducted using a retrospective design. The sa…
View article: Soil Moisture Prediction for Intelligent Irrigation: An XGBoost-based Model with Multi-Dimensional Feature Engineering
Soil Moisture Prediction for Intelligent Irrigation: An XGBoost-based Model with Multi-Dimensional Feature Engineering Open
Accurate soil moisture prediction is essential for intelligent irrigation and optimal agricultural water resource allocation. To address the limitation of traditional linear models in capturing complex nonlinear relationships between meteo…
View article: Temporal variations and prediction of fine particulate matter (PM2.5) concentrations in Ho Chi Minh City using meteorological data and attention-based deep learning model
Temporal variations and prediction of fine particulate matter (PM2.5) concentrations in Ho Chi Minh City using meteorological data and attention-based deep learning model Open
This study investigates the temporal variation and prediction of fine particulate matter (PM2.5) concentrations in Ho Chi Minh City (HCM City), a major Vietnamese metropolis with a tropical monsoon climate, from 2018 to 2023. The results i…
View article: RESEARCH ON CONTACT PARAMETER CALIBRATION AND EXPERIMENT OF DISCRETE ELEMENT SIMULATION MODEL FOR RICE STRAW
RESEARCH ON CONTACT PARAMETER CALIBRATION AND EXPERIMENT OF DISCRETE ELEMENT SIMULATION MODEL FOR RICE STRAW Open
Considering the current suboptimal calibration of critical contact parameters in the discrete element model (DEM) for rice straw, which consequently limits the applicability of DEM in the design of rice straw processing machinery, this stu…
View article: Integrating Geophysics and Machine Learning for Soil Compaction Estimation in Agriculture
Integrating Geophysics and Machine Learning for Soil Compaction Estimation in Agriculture Open
Soil compaction is a significant factor affecting crop yield; however, traditional assessment methods are labor-intensive and costly. To address this issue, rapid and cost-effective estimation techniques are needed. Geophysical methods are…
View article: NPPCast: A Compact CNN Integrating Satellite Data for Global Ocean Net Primary Production Forecasts
NPPCast: A Compact CNN Integrating Satellite Data for Global Ocean Net Primary Production Forecasts Open
Skillful prediction of marine net primary production (NPP) on seasonal to multi-year timescales is essential for assessing the ocean’s role in the global carbon cycle and managing marine resources. We introduce NPPCast, a compact convoluti…
View article: Explainable Machine Learning Framework with Experimental Validation for Strength Prediction of Magnesium Phosphate Cement
Explainable Machine Learning Framework with Experimental Validation for Strength Prediction of Magnesium Phosphate Cement Open
Magnesium Phosphate Cement (MPC) is recognized as an effective rapid repair material, with compressive strength serving as a key mechanical property indicator for its mortar formulations. Nevertheless, due to MPC's complex composition and …
View article: Evaluation of satellite based rainfall estimates and drought monitoring linked to climate indices in Genale Dawa Basin, Ethiopia
Evaluation of satellite based rainfall estimates and drought monitoring linked to climate indices in Genale Dawa Basin, Ethiopia Open
Droughts severely impact agriculture, food security, and water resources, particularly in data scarce regions like the Genale Dawa River Basin (GDRB). This study evaluates the performance of five satellite rainfall products including CHIRP…
View article: Comparative Study of the Drying Rate, Drying Kinetics and Sensory Evaluation of Mango Chips Using a Cabinet Tray Dryer and a Solar Dryer
Comparative Study of the Drying Rate, Drying Kinetics and Sensory Evaluation of Mango Chips Using a Cabinet Tray Dryer and a Solar Dryer Open
The need to reduce post-harvest losses, coupled with the increasing demand for dried fruits especially mango chips, necessitates the development and evaluation of efficient drying technologies. This study evaluated the performance of Niger…
View article: Integrating meteorological and breeding data to predict maize yields using machine learning algorithms
Integrating meteorological and breeding data to predict maize yields using machine learning algorithms Open
Introduction Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown potential in yield prediction…
View article: PARAMETER CALIBRATION AND VALIDATION OF A STRAW-SOIL DISCRETE ELEMENT MODEL IN HUANG-HUAI-HAI WHEAT STUBBLE FIELDS
PARAMETER CALIBRATION AND VALIDATION OF A STRAW-SOIL DISCRETE ELEMENT MODEL IN HUANG-HUAI-HAI WHEAT STUBBLE FIELDS Open
In order to improve the accuracy of discrete element simulation of stubble cleaning soil-engaging parts of corn planter in wheat stubble field, taking the soil straw of Huang-Huai-Hai as the research object, the method of combining physica…
View article: Model testing and response surface investigation of eccentric loading on closely spaced strip footings
Model testing and response surface investigation of eccentric loading on closely spaced strip footings Open
This study analyzes the impact of eccentric loads on the ultimate bearing capacity, failure mechanisms and the settlement of two strip footings placed on sand. In the first section, Laboratory tests were conducted using an experimental mod…
View article: Spatial Heterogeneity in Clean Cooking Adoption in Kathmandu Valley, Evidence from Multiscale Geographically Weighted Regression
Spatial Heterogeneity in Clean Cooking Adoption in Kathmandu Valley, Evidence from Multiscale Geographically Weighted Regression Open
This study quantifies ward-level differences in clean cooking adoption in Kathmandu Valley and pinpoints where access, reliability, and socioeconomic factors matter most. We analyze a household survey of 384 households aggregated to 71 war…