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AI and Deep Learning for Ear Infection Detection ~xRay Pixy

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Learn how AI and deep learning revolutionize ear infection detection, enabling accurate, fast, and automated diagnosis using advanced image processing and machine learning techniques. Video Chapters: Ear Infection Detection using AI and DL 00:00 Introduction 00:14 My Experience with Ear Infections 01:15 Topics Covered 02:24 Ear Infections 02:48 Ear Infection Signs 03:55 Ear Infection Preventions 04:29 Ear Infection Types 05:19 Ear Infection Causes 06:14 How Bacteria and Fungus Grow in Ear 07:26 My Mistakes 08:49 Doctors Advise after Ear Infection 09:45 Ear Infection Common Symptoms 10:37 Automated Ear Infection Detection with Deep Learning AI 15:09 Smartphone Otoscopes 16:04 Conclusion Ear fungus, also known as otomycosis , is a fungal infection of the outer ear canal. If an ear infection is not treated on time, it can lead to serious complications.  Hearing Loss – Persistent infections can damage the eardrum and middle ear structures, leading to partial or permanent hearing loss....

Soft Computing - Fuzzy Logic | Fuzzy Relations | DOM | FIS || Unit 1 || ...

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Learn Soft Computing Basics step-by-step using Example. Video Chapter: 00:00 Introduction 00:09 Topics Covered 02:13 What is Fuzzy Logic? 07:06 What is Crisp Set? 08:03 What is the Degree of Membership? 09:05 Fuzzy Logic Components 10:46 Fuzzy Logic Operators 11:47 Fuzzy Relations 15:03 Fuzzy Relation Composition 17:28 Fuzzy Inference System 17:52 Defuzzification What is a Crisp Set? A "crisp set" or "crisp logic" refers to the traditional, classical set theory and logic where elements either belong to a set or do not, with no in-between or degrees of membership. In crisp logic, membership is binary—something is either a member of a set (true) or not (false). What is a Fuzzy Logic? Fuzzy logic is a mathematical framework that deals with reasoning and decision-making in the presence of uncertainty and imprecision. Unlike classical (Boolean) logic, which is based on binary values (true or false, 0 or 1), fuzzy logic allows for the representation of parti...
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