AI-Skin: Skin disease recognition based on self-learning and wide data collection through a closed-loop framework
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
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In knowledge-based economy, knowledge has a public good and non-rivalry nature. Firms build their own knowledge stock not only by means of internal R&D and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). Firms based on their absorptive capacity, and level of intra-industry and extra-indus...
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جنبه های گوناگونی از زندگی در ایران را از جمله سبک زندگی، علم و امکانات فنی و تکنولوژیکی می توان کم یا بیش وارداتی در نظر گرفت. زبان انگلیسی و روش تدریس آن نیز از این قاعده مثتسنی نیست. با این حال گاهی سوال پیش می آید که آیا یک روش خاص با زیر ساخت های نظری، فرهنگی اجتماعی و آموزشی جامعه ایرانی سازگاری دارد یا خیر. این تحقیق بر اساس روش های ترکیبی انجام شده است.پرسش نامه ای نیز برای زبان آموزان ...
Fusion Framework for Emotional Electrocardiogram and Galvanic Skin Response Recognition: Applying Wavelet Transform
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متن کاملorganizational learning and knowledge spillover in innovation networks: agent-based approach (extending skin framework)
in knowledge-based economy, knowledge has a public good and non-rivalry nature. firms build their own knowledge stock not only by means of internal r&d and collaboration with partners, but also by means of previously spilled over knowledge of other firms and public research laboratories (such as universities). firms based on their absorptive capacity, and level of intra-industry and extra-i...
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ژورنال
عنوان ژورنال: Information Fusion
سال: 2020
ISSN: 1566-2535
DOI: 10.1016/j.inffus.2019.06.005