Modification Of Regression Models To Solve Heterogeneity Problem Using Seaweed Drying Data
During the seaweed’s drying process, a lot of drying parameters are involved. One of the problems in regression analysis is the impact of heterogeneity parameters. The seaweed data was collected using sensor-smart farming technology attached to the v-Groove Hybrid Solar Drier. The proposed method...
محفوظ في:
المؤلف الرئيسي: | Joshua, Ibidoja Olayemi |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2023
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/60406/1/IBIDOJA%20OLAYEMI%20JOSHUA%20-%20TESIS24.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
بواسطة: ., Mukhtar
منشور في: (2023) -
Robust Wavelet Regression With Automatic Boundary Correction
بواسطة: Mohamed Altaher, Alsaidi Almahdi
منشور في: (2012) -
Rivulet Flows And Flows Around Dry Patches On An Inclined Plane
بواسطة: Redwan, Nurul Ainina
منشور في: (2021) -
Preconditioned explicit decoupled group methods for solving elliptic partial differential equations.
بواسطة: Ahmed, Abdulkafi Mohammed Saeed
منشور في: (2011) -
An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
بواسطة: Tan, Lee Sen
منشور في: (2022)