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Controls Scanning on the slippers: a study fiqhiat Comparison
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Controls Scanning on the slippers a study fiqhiat Comparison

The subject of this research is an important topic, which is frequently repeated, and people need to know its wisdom, and has made it in front and the preface and three detectives, showed through discussion the meaning of the survey on the socks, its wisdom, its rules and conditions, and the duration of the survey on it, spoiled and reasoned and compared to the doctrinal doctrines, And the most correct statement of words I have concluded with a number of things, as follows:

  1. The need to ensure that the slippers are clean, visible and inwardly, because the socks are flushed instead of washing the man and must be purified
  2. The survey should be about a smaller event, because it is repeated, and in the removal of the socks with embarrassment and hardship, other than Janaabah, its existence is not more serious and embarrassing.
  3. The slippers should be thick, true, unhidden, can usually be walked, prevent the influence of water into the body, and be exempted from easy
  4. When the conditions and controls in the slippers are met, they may be surveyed, although not made of leather.
  5. The fact that the slippers are legally owned by the wearer does not preclude the correct scanning.
  6. The timing of the survey on the socks day and night for the resident and three days for the traveller, long enough, to wear slippers and take off
  7. Focus on issues that concern people and need to know their governance, which is called for, and is urged by Sharia law.
  8. To show what is characteristic of our Islamic sharia, to ease, facilitate and raise the embarrassment, and facilitate the issues of fiqh, and offer them in an easy way, and a smooth way

 

 

 

 

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Publication Date
Mon Oct 02 2023
Journal Name
Journal Of Engineering
Transport Assessment Using Bayesian Method to Determine Ride-Hailing in Kula Lumpur: A Case Study
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DeepFake is a concern for celebrities and everyone because it is simple to create. DeepFake images, especially high-quality ones, are difficult to detect using people, local descriptors, and current approaches. On the other hand, video manipulation detection is more accessible than an image, which many state-of-the-art systems offer. Moreover, the detection of video manipulation depends entirely on its detection through images. Many worked on DeepFake detection in images, but they had complex mathematical calculations in preprocessing steps, and many limitations, including that the face must be in front, the eyes have to be open, and the mouth should be open with the appearance of teeth, etc. Also, the accuracy of their counterfeit detectio

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