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Cashew Apple Nutrients Prediction from Optical Spectroscopic Streaming Data Using Machine Learning-Based Approach
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inferredcites →https://doi.org/10.1002/jsf2.107openalex-extracted
Nutritional value and health benefits of cashew apple
inferredcites →https://doi.org/10.1002/widm.1157openalex-extracted
A survey on multi‐output regression
inferredcites →https://doi.org/10.1007/s002110050165openalex-extracted
The index of general nonlinear DAEs
inferredcites →https://doi.org/10.1007/s11119-021-09801-2openalex-extracted
Potential challenges to precision agriculture technologies development in Ghana: scientists’ and cocoa extension agents’ perspectives
inferredcites →https://doi.org/10.1007/s11119-023-10012-0openalex-extracted
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation
inferredcites →https://doi.org/10.1007/s13197-018-3539-6openalex-extracted
Nutritional quality of almond, canarium, cashew and pistachio and their oil photooxidative stability
inferredcites →https://doi.org/10.1016/c2015-0-00355-0openalex-extracted
Encyclopedia of Food and Health
inferredcites →https://doi.org/10.1016/j.atech.2022.100048openalex-extracted
Agricultural decision system based on advanced machine learning models for yield prediction: Case of East African countries
inferredcites →https://doi.org/10.1016/j.atech.2022.100049openalex-extracted
Crops yield prediction based on machine learning models: Case of West African countries
inferredcites →https://doi.org/10.1016/j.foodchem.2014.03.123openalex-extracted
In vitro bioaccessibility of copper, iron, zinc and antioxidant compounds of whole cashew apple juice and cashew apple fibre (Anacardium occidentale L.) following simulated gastro-intestinal digestion
inferredcites →https://doi.org/10.1016/j.foodres.2011.03.021openalex-extracted
Changes in bioactive compounds and antioxidant capacity of fresh-cut cashew apple
inferredcites →https://doi.org/10.1016/j.jfoodeng.2016.09.011openalex-extracted
Post-harvest processing technology for cashew apple – A review
inferredcites →https://doi.org/10.1016/j.jksuci.2022.05.007openalex-extracted
Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment
inferredcites →https://doi.org/10.1021/jf00071a039openalex-extracted
Flavor chemistry of cashew apple juice
inferredcites →https://doi.org/10.1088/1742-6596/1367/1/012030openalex-extracted
Development of non-destructive mango assessment using Handheld Spectroscopy and Machine Learning Regression
inferredcites →https://doi.org/10.1109/access.2021.3059018openalex-extracted
Development of an Optimized Regression Model to Predict Blast-Driven Ground Vibrations
inferredcites →https://doi.org/10.1109/access.2021.3076119openalex-extracted
Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination
inferredcites →https://doi.org/10.1109/access.2021.3128284openalex-extracted
A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering
inferredcites →https://doi.org/10.1109/access.2023.3250235openalex-extracted
Toward Secured IoT-Based Smart Systems Using Machine Learning
inferredcites →https://doi.org/10.1109/icmla.2007.35openalex-extracted
Enhanced recursive feature elimination
inferredcites →https://doi.org/10.1109/iotais56727.2022.9975952openalex-extracted
Machine Learning Benchmarking for Secured IoT Smart Systems
inferredcites →https://doi.org/10.1109/jiot.2021.3114420openalex-extracted
A Deep Learning Model for Earthquake Parameters Observation in IoT System-Based Earthquake Early Warning
inferredcites →https://doi.org/10.1109/jstars.2022.3216998openalex-extracted
Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology
inferredcites →https://doi.org/10.1109/jsyst.2021.3099072openalex-extracted
A Deep Autoencoder Trust Model for Mitigating Jamming Attack in IoT Assisted by Cognitive Radio
inferredcites →https://doi.org/10.1109/smarttech54121.2022.00025openalex-extracted
Are Formal Methods Applicable To Machine Learning And Artificial Intelligence?
inferredcites →https://doi.org/10.1109/tgrs.2022.3208097openalex-extracted
An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination
inferredcites →https://doi.org/10.1155/2022/3998193openalex-extracted
Olive Disease Classification Based on Vision Transformer and CNN Models
inferredcites →https://doi.org/10.1155/2022/8950243openalex-extracted
Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model
inferredcites →https://doi.org/10.2139/ssrn.4003105openalex-extracted
Crops Yield Prediction Based on Machine Learning Models: Case of West African Countries
inferredcites →https://doi.org/10.21475/ajcs.21.15.07.p3075openalex-extracted
Estimating maturity by measuring pH, sugar, dry matter, water and vitamin C content of cashew apple (Anacardium occidentale) from remote spectral reflectance data using neural network
inferredcites →https://doi.org/10.2307/2348250openalex-extracted
The Box-Cox Transformation Technique: A Review
inferredcites →https://doi.org/10.3390/en16010495openalex-extracted
Employing Machine Learning and IoT for Earthquake Early Warning System in Smart Cities
inferredcites →https://doi.org/10.3390/su141710722openalex-extracted
Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo
inferredcites →https://doi.org/10.4314/acsj.v28i1.14sopenalex-extracted
Trend analysis of production, consumption and export of cashew crop in West Africa
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-extracted
Scikit-learn: Machine Learning in Python
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