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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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All Members-Based Optimizer (AMBO) || STEP-BY-STEP || ~xRay Pixy

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All Members-Based Optimizer (AMBO)


Learn All Members-Based Optimizer Step-by-Step with Examples.
Algorithm Type: Metaheuristic Optimization Technique
Algorithm Main Idea: Make more use of the Population Matrix.
Tested on Different Benchmark Test Functions.
Algorithm Performance: Provide Better results in comparison with different metaheuristic optimization algorithms.
Used for Solving Optimization Problems.

ALGORITHM MAIN IDEA

Make use of the Population Matrix and All Members can play role in Updating Algorithm Population.

ALL MEMBERS-BASED OPTIMIZER STEPS

STEP 01: Initialize Algorithm Important Parameters. STEP 02: Initialize Population Randomly in the Search Space. STEP 03: Evaluate Initial Population using the Fitness Function. STEP 04: Check While (Current Iteration < Maximum Iteration) Do STEP 05: Update Members Position and Best Member Position. STEP 06: Update Population Members using STAGE 01. STEP 07: Update Population Members using STAGE 02. STEP 08: Save Best Solution in the Memory. STEP 09: Increment Counter. STEP 10: Best Solution Found.

ALL MEMBERS-BASED OPTIMIZER FLOWCHART



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