نتایج جستجو برای: artificial intelligent
تعداد نتایج: 350818 فیلتر نتایج به سال:
abstract from longley, the various equations for determining the runoff to water management are presented by the researchers that are widely used in hydrologic sciences. in this study by using observational data, was evaluated empirical, artificial neural network (ann) and ca-active neuro-fuzzy inference system (canfis) models in estimation of runoff. for this purpose, by using climatic and phy...
introduction: diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. therefore, the patient might be irritated. so, an intelligent method for quick and accurate diagnosis would be crucial. intelligent sys...
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The application of Artificial Intelligence or AI in education has been the subject academic research for more than 30 years. field examines learning wherever it occurs, traditional classrooms at workplaces so to support formal and lifelong learning. It combines interdisciplinary sciences (such as education, psychology, neuroscience, linguistics, sociology anthropology) order facilitate developm...
Introduction: Diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. Due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. Therefore, the patient might be irritated. So, an intelligent method for quick and accurate diagnosis would be crucial. Intelligent sys...
The available studies for estimating the characteristics of hydraulic jump are only for artificial or natural beds, and very limited researches have simultaneously considered artificial and natural beds. The aim of this study is to present comprehensive equations and models for predicting the characteristics of hydraulic jump in artificial and natural rough beds with various dimensions, arrange...
در این تحقیق به پیش بینی پتانسیل رمبندگی(collapse potential) خاک ها با استفاده از سیستم های هوشمند پرداخته خواهد شد. بسیاری از تئوری ها و قوانین علم مکانیک خاک بر فرض اشباع بودن کامل خاک استوار شده است. رفتار خاک های غیر اشباع خصوصاً مقاومت و تغییر حجم خاک تحت اثر بارها و تنش ها کاملاً متمایز بوده و به عوامل متعددی بستگی دارد. رمبندگی به کاهش حجم خاک غیر اشباع تحت اثر تنش ثابت و به علت اشباع شدن ...
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