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The green method was chosen for the preparation of nano iron oxide due to its simplicity, ease of preparation, and purity, compared to other methods. Nano iron oxide was made using a substance that causes precipitation and a coating from the alcoholic extract of orange leaves from Iraq. It was examined structurally and spectrally using several techniques, including X-ray diffraction, Fourier transform infrared spectroscopy, field-emission scanning microscopy (FESEM), energy-dispersive X-ray spectroscopy, and UV-Vis spectroscopy. The diagnosis proved that the nano iron oxide was successfully prepared in a spherical form and with an average size of 71.1 nm. The nano iron oxide particles were tested for their ability to remove crystal
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منذ الثلث الأخير من القرن التاسع عشر، انشغلت الولايات المتحدة الأميركية بفكرة تأسيس إطار تنظيمي جامع لدول اميركا اللاتينية، بما يسمح لها في ممارسة الضغط السياسي والاقتصادي والعسكري في النصف الغربي من الكرة الأرضية ويثبت سياستها ، لاسيما مع انسحاب دول الاستعمار الأوربي ( اسبانيا – فرنسا – روسيا – بريطانيا ) . الا ان الفكرة هذه واجهت تحديات كبيرة ، وواكبتها جهود حثيثة بذلتها الولايات المتحدة الأميركية ، في ا
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Channel estimation (CE) is essential for wireless links but becomes progressively onerous as Fifth Generation (5G) Multi-Input Multi-Output (MIMO) systems and extensive fading expand the search space and increase latency. This study redefines CE support as the process of learning to deduce channel type and signal-tonoise ratio (SNR) directly from per-tone Orthogonal Frequency-Division Multiplexing (OFDM) observations,with blind channel state information (CSI). We trained a dual deep model that combined Convolutional Neural Networks (CNNs) with Bidirectional Recurrent Neural Networks (BRNNs). We used a lookup table (LUT) label for channel type (class indices instead of per-tap values) and ordinal supervision for SNR (0–20 dB,5-dB steps). T
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