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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....

Harmony Search Algorithm Numerical Example | Step-By-Step |~xRay Pixy

Harmony Search Algorithm


Video Chapters: Introduction: 00:00 Harmony Search Algorithm: 01:00 Harmony Search Algorithm Example 1: 04:00 Harmony Search Algorithm Numerical Example 2: 07:26 Harmony Search Algorithm Numerical Example 3: 11:36 Conclusion: 15:00

How does harmony search algorithm work?

Harmony Search Algorithm (HSA) is introduced by Zong Woo Geem and Joong Hoon Kim in 2001. Harmony Search is a music inspired optimization algorithm. Harmony Search Algorithm is basically inspired by the Music Harmony.

Music Harmony refers to the relationship between sound waves coming either from musical instruments or human voices. It is the process by which individual sounds are joined together simultaneously. It is the combination of sound pitches in the music. Pitch is an aspect of sound that we can hear. Through pitch we can check weather sound is High or Low than other musical sound.

Harmony Search Algorithm Main Rules: Musician has 3 choices
  1. Play Famous piece of Music (i.e., known).
  2. Play something similar to the famous piece of Music.
  3. Compose New Music.
Harmony Search Algorithm Steps:
  1. Initialize algorithm parameters such as Harmony Memory, Maximum Iterations, Pitch Adjustment Rate, Harmony Adjustment Rate and Band Width.
  2. Construct initial harmony randomly.
  3. Select Best and Worst Harmony in the harmony memory.
  4. Check While (current iteration <= Maximum Iteration)
  5. Harmony Memory Generation.
  6. Pitch Adjustment.
  7. Update Harmony [harmony replacement after comparison).
  8. Return best harmony as optimal solution.

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