مشروع البحث:
A NEW FRAMEWORK FOR DEFECT DETECTION USING HYBIRD MACHINE LEARNING TECHNIQUES

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المساهمين
الممولين
رقم التعريف
1182
الباحث
فاطمة سليمان بشير منصور
المشرفين
منشورات
وحدات تنظيمية
الوصف
Developments that enable smart cities and focus on sustainability are driving the growth of renewable energy. However, adapting renewable energy is as challenging as adapting smart cities. Before the advent of renewables, the grid consisted of a few generators, the grid, and many consumers with clearly defined roles. Between these two groups there was a connection in which the current flowed only in one direction. With the development of methods of producing electricity that can be installed in homes, such as solar B. Consumers have become consumers and producers, i.e. “production consumers”. You can use your own electricity as well as save it to the grid.
الكلمات الدالة
MACHINE LEARNING TECHNIQUES