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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....
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Aquila Optimization Algorithm Step-by-Step Explanation ~xRay Pixy

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Video Chapters:
Introduction: 00:00
Aquila Optimizer: 00:31
Aquila Hunting Methods: 02:09
Aquila Optimizer Steps: 03:33
Aquila Optimizer Mathematical Models: 06:07
Conclusion: 13:00

Aquila Optimization Algorithm is inspired by the Aquila Behavior in the nature. This algorithm is basically inspired by the aquilas hunting methods. How they catch their prey in the real life?

Aquila Hunting Methods:
Method 01: High Soar with Vertical Stoop. [i.e., Expanded Exploration]
Method 02: Contour Flight with Short Glide Attack. [i.e., Narrowed Exploration]
Method 03: Low Flight with Slow Decent Attack. [i.e., Expanded Exploitation]
Method 04: Walking and Grab the Prey. [i.e., Narrowed Exploitation]

Aquila Optimization Algorithm Steps:
Step 01: Initialize Algorithm Parameters and Population Randomly.
Step 02: Check While (Current Iteration <= Maximum Iteration)
Step 03: Evaluate Agents Performance using Fitness Function.
Step 04: For all agents update Location mean value.
Step 05: Update Levy's Flight.
Step 06: Check IF (Current Iteration <= (2/3) * Maximum Iteration)
Step 07: Check IF (rand<= 0.5) then
Method 01: High Soar with Vertical Stoop. [i.e., Expanded Exploration]
Else
Method 02: Contour Flight with Short Glide Attack. [i.e., Narrowed Exploration]
End IF
Else
Step 08: Check IF (rand<= 0.5) then
Method 03: Low Flight with Slow Decent Attack. [i.e., Expanded Exploitation]
Else
Method 04: Walking and Grab the Prey. [i.e., Narrowed Exploitation]
End IF
End IF
Step 09: End While
Step 10: Display Best Solution.






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