با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
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1 |
Deep learning enabled cutting tool selection for special-shaped machining features of complex products
یادگیری عمیق انتخاب ابزار برش را برای ویژگی های ماشینکاری خاص محصولات پیچیده امکان پذیر می کند-2019 Each complex product contains many special-shaped machining features required to be machined by the specific
customized cutting tools. In this context, we propose a deep learning based cutting tool selection approach,
which contributes to make it effective and efficiency for and also improves the intelligence of the process of
cutting tool selection for special-shaped machining features of complex products. In this approach, one-to-one
correspondence between each special-shaped machining feature and each cutting tool is first analyzed and established.
Then, the problem of cutting tool selection could be transformed into a feature recognition problem.
To this end, each special-shaped machining feature is represented by its multiple drawing views that contain rich
information for differentiating each of these features. With numbers of these views as training set, a deep residual
network (ResNet) is trained successfully for feature recognition, where the recognized features cutting
tool could also be automatically selected based on the one-to-one correspondence. With the learned ResNet,
engineers could use an engineering drawing to select cutting tools intelligently. Finally, the proposed approach is
applied to the special-shaped machining features of a vortex shell workpiece to demonstrate its feasibility. The
presented approach provides a valuable insight into the intelligent cutting tool selection for special-shaped
machining features of complex products. Keywords: Cutting tool selection | Special-shaped machining features | Complex products | Residual networks | Deep learning |
مقاله انگلیسی |
2 |
Assessing consumer literacy on financial complex products
ارزیابی سواد مصرف کننده بر روی محصولات پیچیده مالی-2019 Consumer financial education has become an important research topic, due to the growth of a wide
range of investment products available in online banking. The individuals are exposed to highly
complex financial products without understanding the risk and what product is suitable for them. This
study investigates and measured the financial education of individuals in complex financial products.
A quiz game was developed for a bank website to measure 1597 bank clients in complex products
literacy. The survey also enabled a comparison between the basic and advanced skills of financial
literacy knowledge. The results highlight a satisfactory overall financial literacy level. While basic
knowledge level between individuals has a higher degree, there are serious concerns in advanced
skill level. This study contributes to an understanding of adults’ knowledge about the prediction of
the risk of investments in complex financial products, as well as providing value to ongoing financial
literacy research. Keywords: Consumer | e-Banking | Financial literacy | Games | Financial complex products |
مقاله انگلیسی |
3 |
دانش و رفتار مالی: شواهدی از طبقات متوسط در مناطق در حال ظهور آسیایی
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 15 - تعداد صفحات فایل doc فارسی: 42 این مقاله دانش و رفتار مالی افراد طبقه متوسط ساکن در اقتصاد شهری آسیایی را تحلیل می کند.سایر مقالات
دانش مالی که بر افراد ساکن در کشورهای توسعه یافته تمرکز دارند، ما در این تحقیق افراد ساکن در بانکوک را مورد بررسی قرار داده ایم. به کمک سوالات استاندارد دانش مالی، نشان دادیم که سطوح دانش مالی به صورت قابل توجهی با کشورهای صنعتی قابل مقایسه است، اما شناخت مفاهیم پیشرفته مالی همچنان کمتر است. هم چنین، بیشتر افراد دارای حسابهای پس انداز هستند، اما محصولات پیچیده تر مالی عمومیت کمتری دارند. همچنین مطابق ادبیات تحقیق نشان دادیم که دانش مالی بالاتر منجر به بهبود تصمیم گیری مالی می شود.
واژه های کلیدی: دانش مالی | پس انداز | استقراض | تامین مالی خانوارها |
مقاله ترجمه شده |