Picasso ceramics represented illuminated sign in ceramic art and excelled in accord ceramic art dimension aesthetically, and put it in a new prospects, despite the simplicity of the forms turn into a magical images and multiple interpretations.
So the search deliberately to choose purposive (37) samples divided into four groups, as follows: -
A flat shapes / palets or saucers / the vases /modified vases .
benefiting from indicators were spawned from literature ,to analyzing samples within the totals for the identification systems act forming art work`s:-
(1)Picasso's ceramic work product of a deliberate process represented a capacity of technical experience, and formal
(2)The system configuration in the ceramic art works carried out in a form having (two or more) systems act`s in the same time, with the Dominance of one without the other, as follows:
(A) in the sample flat shapes, we find that there are three systems moved shapes, the system (Stenography) is dominant in addition to the system (geometrical), and (narrative), which contrast attending
(B) the system (regular narrative) essential front-line state in the forms in palets, and (Stenography) system Secondly supplement to image.
(C) in vases formed by wheel which dominates the (iconic character) of form, the system (magnifying) is prevailing with a (Stenograph) as a systematic art forming.
(D) in developed vases, the artist Override the (traditional) form to get a new relations (innovative), dominated by (Stenography) Producing shapes and (aesthetic)system of forms and line, and color in this group
Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system
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