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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 Le...
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Cat and Mouse Optimization Algorithm

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 Cat and Mouse Optimization Algorithm (CMOA) Cat and Mouse Optimization Algorithm is a population based metaheuristic optimization algorithm. Cat and Mouse Optimization Algorithm mimic the natural behavior of Cat attack on the mouse and Mouse escape from the Cat. In this algorithm population is divided into 2 groups: Group of Cats and Group of Mice . Cat and Mice scan the whole search space in this algorithm with their random movements. Each member in the population is a solution to the given problem. Initial population is evaluated using objective function and based on their fitness values population is sorted. Best values in the population as calculated using objective function are considered as Population for Mice and worst values in the population are considered as Population for Cats . Position Update Procedure in Cat and Mouse Optimization Algorithm (CMOA): Position Update in CMOA is divided into 2 phases as given below: First, Move Cats Towards Mice. Second, Move Mic...
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