Scientific Research PublishingOsman, H., Ihab, S. and Amir, A. (2019) Multiple Modeling
Osman, H., Ihab, S. and Amir, A. (2019) Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents. Foods, 8, 14. Stochastic
Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents Foods. 2019 Apr 25;8(4 The models were tested by
-res1,*, Ihab Shigidi 2
Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents Haitham Osman 1,*, Ihab Shigidi 1 and Amir Arabi 2 1 Department of
Osman et al. [16] used different optimization techniques to optimize the process parameters for extracting the oil from the sesame seeds using various solvents in the solvent extraction method
Semantic ScholarMultiple Modeling Techniques for Assessing Sesame Oil
The ANN model consistently performed more accurate predictions with all tested solvents under all different operating conditions, thus concluding that ANN possesses a universal ability to
In this paper, a systematic approach for comparing popular modeling techniques such as Response Surface Method, Radial Basis Functions (RBF), and Artificial Neural Network (ANN)
Techniques for Sesame Oil Extraction and Its Quality Analysis
It was first intended for deoiling sunflower seeds and is extensively being used for the extraction of oil from sesame, copra, and peanut in Tanzania. Generally, the seeds are warmed up in the sun by
Osman, H., Shigidi, I. and Arabi, A. (2019) Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents. Foods, 8, Article ID 142.
Design of an Artificial Intelligence of Things-Based Sesame Oil
Traditional oil quality measurement is mostly based on chemical indicators such as acid value, peroxide value, and p-anisidine value. This process requires specialized knowledge
Many agricultural fields are no longer sustainable due to inadequate replenishment of soil nutrients through organic and inorganic inputs, particularly in smallholder farming systems. As a result, achieving potential
Characterizing the Bioactive Ingredients
Roasting is an important step in sesame (Sesamum indicum L.) processing. The current research was undertaken to evaluate the oil content, fatty acid (FA) profiles, and physicochemical characteristics of oil recovered
This study investigated the capability of the Weather Research and Forecasting (WRF) model to simulate seven different heavy precipitation (PRE) events that occurred across East Africa in the summer of 2020. The
Characterizing the Bioactive Ingredients in Sesame Oil Affected MDPI
Roasting is an important step in sesame (Sesamum indicum L.) processing. The current research was undertaken to evaluate the oil content, fatty acid (FA) profiles, and physicochemical
Sesame production and productivity are severely constrained by a lack of high-yielding and locally adapted varieties, susceptibility to capsule shattering and low seed retention, biotic
Rapid Appraisal of Wildlife Corridor Viability with Geospatial MDPI
Connectivity between protected areas is necessary to prevent habitat fragmentation. Biodiverse countries like Tanzania craft legislation to promote habitat connectivity via the creation
Understanding and monitoring soil organic carbon (SOC) stocks is crucial for ecosystem carbon cycling, services, and addressing global environmental challenges. This study
