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Subject matter  for speakers
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Praise be to God, Lord of the worlds, and prayers and peace be upon our master Muhammad and upon his family and companions as a whole.
    The topic of attention was drawn to the attention of the speakers, as it made me ponder it carefully, and my goal in that is to know the reason for the interest of the speakers and their care for it, and to clarify from their books the purpose of making this topic one of the advanced investigations with them.

     The idea of ​​writing a paper on the subject of consideration was not absent from my thinking, because I saw the attention of speakers on this issue, as they made it one of the first issues that they deal with studying in their works because they relate to faith in God, glory be to Him, and is linked to the method of inferring the existence of God Almighty which includes meditation on the effects of existence, as Looking at the speakers means that the person charged with the evidence looks at the evidence to move to the science in terms, meaning that you follow the evidence, reflect on it, and observe the effects of work that leads to knowledge of the existence of the mastermind creator. Sorcerer E, and the maker of the author.

     Hence you realize the importance of this topic, and for this reason the speakers expanded its research in terms of stating linguistic and idiomatic meaning, as well as in many other ways, as they discussed the necessity of commissioning in order to arrive at the knowledge of God, glory be to Him, knowledge of His attributes, what he must and impossible to do, and they answered Through this topic, there are many questions related to the matter of consideration, including: Is the commissioning of consideration binding on the public or is it restricted to the private? Is looking useful science or not benefit it? Is knowledge of God Almighty obligatory, or not? What is the origin of this obligation? Is it Sharia or the mind? And other matters related to vision.

     The speakers were not satisfied with that but rather answered all the objections and problems presented by their violators, opposing the evidence that the speakers used to infer and relied on in the ruling that consideration must be given whether these objections are directed to the legal texts inferred or to the consensus that was said or to the mental rules that supported Forensic evidence and consensus.
    That is why I found it appropriate to stand with the phrases of the speakers in an attempt to rearrange and facilitate them, enlightened by the sound scientific method and the sober research context. An approach that combines the Qur’anic statement and the verbal report, so I made my research tagged (the topic of looking at speakers), which includes an introduction, two articles, and a conclusion ..

                                  And Praise be to Allah, the Lord of the Worlds

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Publication Date
Wed Nov 01 2017
Journal Name
Journal Of Engineering
Design of L1 -Adaptive Controller for Single Axis Positioning Table
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L1 adaptive controller has proven to provide fast adaptation with guaranteed transients in a large variety of systems. It is commonly used for controlling systems with uncertain time-varying unknown parameters. The effectiveness of  L1 adaptive controller for position control of single axis has been examined and compared with Model Reference Adaptive Controller (MRAC). The Linear servo motor is one of the main constituting elements of the x-y table which is mostly used in automation application. It is characterized by time-varying friction and disturbance.

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Publication Date
Sat Oct 31 2020
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Stripping is one of the major distresses within asphalt concrete pavements caused due to penetration of water within the interface of asphalt-aggregate matrix. In this work, one grade of asphalt cement (40-50) was mixed with variable percentages of three types of additives (fly ash, fumed silica, and phosphogypsum) to obtained an modified asphalt cement to resist the effect of stripping phenomena .The specimens have been tested for physical properties according to AASHTO. The surface free energy has been measured by using two methods namely, the wilhelmy technique and the Sessile drop method according to NCHRP-104
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Scheduling Timetables for courses in the big departments in the universities is a very hard problem and is often be solved by many previous works although results are partially optimal. This work implements the principle of an evolutionary algorithm by using genetic theories to solve the timetabling problem to get a random and full optimal timetable with the ability to generate a multi-solution timetable for each stage in the collage. The major idea is to generate course timetables automatically while discovering the area of constraints to get an optimal and flexible schedule with no redundancy through the change of a viable course timetable. The main contribution in this work is indicated by increasing the flexibility of generating opti

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Evaluating the Crop Coefficient for Cherries Plants in Michigan State
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Crop coefficient for cherries was evaluated by measure the water consumption in Michigan State to find its variation with time as the plant growth. Crop coefficients value (Kc) for cherries were predicated by Michigan State University (MSU) and also by Food and Agriculture Organization (FAO) according to consume of water through the season. In this paper crop coefficients for cherries are modified accordingly to the actual measurements of soil moisture content. Actual evapotranspiration (consumptive use) were measured by the soil moisture readings using Time Domain Reflectometers (TDR), and compared with the actual potential evapotranspiration that calculated by using modified Penman-Monteith equation which depends on metrological statio

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Comparative analysis of deep learning techniques for lung cancer identification
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One of the diseases on a global scale that causes the main reasons of death is lung cancer. It is considered one of the most lethal diseases in life. Early detection and diagnosis are essential for lung cancer and will provide effective therapy and achieve better outcomes for patients; in recent years, algorithms of Deep Learning have demonstrated crucial promise for their use in medical imaging analysis, especially in lung cancer identification. This paper includes a comparison between a number of different Deep Learning techniques-based models using Computed Tomograph image datasets with traditional Convolution Neural Networks and SequeezeNet models using X-ray data for the automated diagnosis of lung cancer. Although the simple details p

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Simulation Physical and Chemical Blowing Agents for Polyurethane Foam Production
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