Search Results - "Machine Learning Regression Algorithm"

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission by Candiani, Gabriele, Tagliabue, Giulia, Panigada, Cinzia, Verrelst, Jochem, Picchi, Valentina, Rivera Caicedo, Juan Pablo, Boschetti, Mirco

“…In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This mission…”
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Hybrid machine learning for stock price prediction in the Moroccan banking sector by Itri, Bouzgarne, Mohamed, Youssfi, Omar, Bouattane, Latifa, El Madani, Lahcen, Moumoun, Adil, Oualid

“…Analyzing historical stock market data using machine-learning techniques is crucial for data scientists and researchers to optimize stock price prediction…”
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Mapping mangrove functional traits from Sentinel-2 imagery based on hybrid models coupled with active learning strategies by Jia, Mingming, Guo, Xianxian, Zhang, Lin, Wang, Mao, Wang, Wenqing, Lu, Chunyan, Zhao, Chuanpeng, Zhang, Rong, Wang, Ming, Yan, Hengqi, Wang, Zongming, Verrelst, Jochem

“…•Four mangrove functional traits were retrieved by hybrid models and AL strategies.•Quantitative comparison on retrieval models is conducted based on field…”
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Data-driven analysis of influence between radiologists for diagnosis of breast lesions by Fu, Chao, Wang, Dongyue, Chang, Wenjun

“…Breast lesions are the most common threat to the health of women. The accumulation of historical examination reports for diagnosing breast lesions in clinical…”
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Predicting specific wear rate of laser powder bed fusion AlSi10Mg parts at elevated temperatures using machine learning regression algorithm: Unveiling of microstructural morphology analysis by Jatti, Vijaykumar S., Murali Krishnan, R., Saiyathibrahim, A., Preethi, V., Priyadharshini G, Suganya, Kumar, Abhinav, Sharma, Shubham, Islam, Saiful, Kozak, Dražan, Lozanovic, Jasmina

“…Precisely predicting the Specific Wear Rate (SWR) of AlSi10Mg components produced using Laser Powder Bed Fusion (LPBF) at high temperatures, which is an…”
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The best performing color space and machine learning regression algorithm for the accurate estimation of chromium (VI) and iron (III) in aqueous samples using low-cost and portable flatbed scanner colorimetry by Ichsan, Chairul, Rodiah, Siti

“…The study utilizes the colorimetric method (involving 1,5-diphenylcarbazide and potassium thiocyanate as complexing agents), computer vision, and machine…”
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Data-driven prediction for the number of distribution network users experiencing typhoon power outages by Hou, Hui, Yu, Jufang, Geng, Hao, Zhu, Ling, Li, Min, Huang, Yong, Li, Xianqiang

“…Typhoons have substantial impacts on power systems and may result in major power outages for distribution network users. Developing prediction models for the…”
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Hyperspectral dimensionality reduction for biophysical variable statistical retrieval by Rivera-Caicedo, Juan Pablo, Verrelst, Jochem, Muñoz-Marí, Jordi, Camps-Valls, Gustau, Moreno, José

“…Current and upcoming airborne and spaceborne imaging spectrometers lead to vast hyperspectral data streams. This scenario calls for automated and optimized…”
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Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data by Zhang, Caiyun, Denka, Sara, Cooper, Hannah, Mishra, Deepak R.

“…Large-scale biomass quantification of sawgrass (Cladium jamaicense) marsh is critical to understand the carbon and energy cycle in the Florida Everglades…”
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Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval by Verrelst, Jochem, Dethier, Sara, Rivera, Juan Pablo, Munoz-Mari, Jordi, Camps-Valls, Gustau, Moreno, Jose

“…Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable…”
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Application of Kalman filtering technique for evaluation of neutron cross section data of 100Mo (n, 2n) 99Mo reaction by Ram, Sangeetha Prasanna, Nair, Jayalekshmi, Suryanarayana, Saraswatula Venkata, Ganesan, S.

“…In this paper, for the first time, evaluation of neutron cross section data of 100Mo (n, 2n) 99Mo reaction is performed using experimental data available in…”
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Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling by Ranghetti, Marina, Boschetti, Mirco, Ranghetti, Luigi, Tagliabue, Giulia, Panigada, Cinzia, Gianinetto, Marco, Verrelst, Jochem, Candiani, Gabriele

“…The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space…”
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Spatial prediction of soil organic carbon stocks across contrasting Andean basins, Peru by Carbajal, Carlos, Tumbalobos-Dextre, Merely, Condori-Ataupillco, Tatiana, Cuellar-Condori, Nestor, Gavilan, Carla

“…Soil organic carbon stocks (SOCS) are critical components of the global carbon cycling and play a central role in climate change mitigation. However, their…”
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Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data by Mananze, Sosdito, Pôças, Isabel, Cunha, Mario

“…Field spectra acquired from a handheld spectroradiometer and Sentinel-2 images spectra were used to investigate the applicability of hyperspectral and…”
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Biophysical Variable Retrieval of Silage Maize with Gaussian Process Regression and Hyperparameter Optimization Algorithms by Akbari, Elahe, Boloorani, Ali Darvishi, Verrelst, Jochem, Pignatti, Stefano, Neysani Samany, Najmeh, Soufizadeh, Saeid, Hamzeh, Saeid

“…Quantification of vegetation biophysical variables such as leaf area index (LAI), fractional vegetation cover (fCover), and biomass are among the key factors…”
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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Asiminari, Gavriela, Benos, Lefteris, Kateris, Dimitrios, Busato, Patrizia, Achillas, Charisios, Grøn Sørensen, Claus, Pearson, Simon, Bochtis, Dionysis

“…Enhancing agricultural machinery field efficiency offers substantial benefits for farm management by optimizing the available resources, thereby reducing cost,…”
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Comparative Analysis of Machine Learning Algorithms for Heart Disease Predictions by Patidar, Sanjay, Jain, Anvay, Gupta, Ayush

“…The number one reason of deaths worldwide are cardiovascular diseases. An approximate of 17.9 million lives die because of CVDs every year, which means it is…”
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Advanced Modeling Approaches for Quality Assessment of Papaya Leather Dried in IoT‐Enabled IR‐Assisted Refractance Window Dryer by Dadhaneeya, Harsh, Nema, Prabhat K., Warepam, Sophia Chanu

“…ABSTRACT The aim of this research is the comprehensive comparison of advanced modeling tools for predicting the quality parameters of IoT‐enabled IR‐assisted…”
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