Deep learning convolutional neural networks (CNNs) are an emerging technology that provide opportunity to increase agricultural efficiency through remote sensing and automatic inferencing of field conditions. This paper examined the novel use CNNs identify two weeds, hair fescue sheep sorrel, in images wild blueberry fields. Commercial herbicide sprayers a uniform application agrochemicals mana...

فاصله بین سقوط ایلخانان (736 ق) تا روی کار آمدن صفویان (907 ق) از پرآشوب­ترین و آشفته­ترین دوره­های تاریخ ایران است که عرصه را برای نضج و قدرت­گیری حکومت­های مختلفی در گوشه و کنار ایران فراهم آورد. جغرافیای سیاسی قبایل کُرد در غرب و شمال غرب که صحنه قدرت­نمایی آل جلایر، تیموریان، قراقویونلوها و آق قویونلوها بود از جمله حوزه­های موردتوجه و فعالیت حکومت­های مورد اشاره بود. پژوهش حاضر درصدد پژوهش د...

we introduce and  study  fuzzy (co-)inner product and fuzzy(co-)norm of hyperspaces. in this regard by considering  the notionof hyperspaces, as a generalization of vector spaces, first we willintroduce the notion of fuzzy (co-)inner product in hyperspaces and will apply it to formulate the notions offuzzy (co-)norm and fuzzy (co-)orthogonality  in hyperspaces. inparticular, we will prove that ...

In this paper, we present new algorithms for the field arithmetic layers of supersingular isogeny Diffie-Hellman; one fifteen remaining candidates in NIST post-quantum standardization process. Our approach uses a polynomial representation elements together with mechanisms to keep coefficients within bounds during operations. We timings and comparisons SIKEp503 suggest novel 736-bit prime that o...