Results 241 to 250 of about 19,449 (271)

Mülahhas Sarf-ı Arabi

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Tercüme-i Sarf-ı Arabi

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Sarf-ı Arabi ve Temrinat

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Mücmelü’s-Sarf.(Muarrebat-ı Osmaniyye’den)

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Behçetü’t-Tarf fî İlmi’s-Sarf

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SARF: A Simple, Adjustable, and Robust Fusion Method

IEEE Geoscience and Remote Sensing Letters, 2021
Pansharpening aims to sharpen a low spatial resolution (LR) multispectral (MS) image using a high spatial resolution (HR) panchromatic (PAN) image to obtain the HR MS image.
Xiangchao Meng, Gang Yang, F. Shao, Weiwei Sun, Huanfeng Shen, Shutao Li   +5 more
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SARF-Net: A Scale-Adaptive Detection Model for Hierarchical Fusion and Precise Localization in Mini-LED Inspection

IEEE Transactions on Instrumentation and Measurement
Mini-light-emitting diodes (LEDs), known for their compact size and high integration, have become pivotal in the modern display industry. Accurate and efficient automated inspection of foreign mini-LEDs is essential in industrial applications to ensure ...
Zhuojia Ma, Mei-qin Liu, Shanling Dong, Ronghao Zheng, Senlin Zhang   +4 more
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Analysis of Summative Assessment and Influencing Factors of The Results on ‘Ilm Ṣarf Among Arabic Education Students at Universitas Muhammadiyah Yogyakarta

AL-HIKMAH: INTERNATIONAL JOURNAL OF ISLAMIC STUDIES AND HUMAN SCIENCES
This study aims to analyze the summative assessment and influencing factors of the results on ‘ilm ṣarf among arabic education students at Universitas Muhammadiyah Yogyakarta.
Widia Nabawi, Talqis Nurdianto, Muh. Naim Madjid, Muhamad Zaidi Bin Zakaria   +3 more
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Smart All-Hazard Responses Framework (SARF): Human Factors and Ergonomics Approach

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
The integration of Human Factors and Ergonomics (HFE) into emergency responses is crucial due to frequent human errors and inadequate human-system interactions which impede effective emergency and disaster management.
Junho Park, Ava Rathenberg, Katie Usher, Changwon Son   +3 more
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SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest

arXiv.org
Stock trend forecasting, a challenging problem in the financial domain, involves ex-tensive data and related indicators. Relying solely on empirical analysis often yields unsustainable and ineffective results.
Saber Talazadeh, Dragan Peraković
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