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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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Hybrid Grasshopper Optimization Algorithm with Genetic Algorithm

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Hybrid Grasshopper Optimization Algorithm and Genetic Algorithm


GOA-GA Hybrid Metaheuristics Video Chapters: Introduction: 00:00 Hybrid Metaheuristics: 01:11 Metaheuristic Hybridization Types: 02:47 Hybrid Grasshopper Optimization Algorithm - Genetic Algorithm: 04:06 Hybrid Grasshopper and Genetic Algorithm Steps: 08:54 Conclusion: 13:00

Hybrid methods are powerful as compared to others. Suppose, we have 2 Algorithms: Algorithm A and Algorithm B. Now suppose we merge the merits of both algorithms and formed Hybrid A-B Algorithm. New Algorithm i.e., Hybrid A-B Algorithm is better as compared to Algorithm A or Algorithm B.

Metaheuristics Hybridization Types:
  • Metaheuristic with Metaheuristic.
  • Metaheuristic with Exact Methods.
  • Metaheuristic with Constraint Programming, Artificial Intelligence.
  • Metaheuristic with Data Mining and Machine Learning Techniques.
Hybrid Grasshopper Optimization Algorithm and Genetic Algorithm |Hybrid G.O.A - G.A.|
  1. Hybrid GOA-GA is a combination of 2 Meta-heuristics.
  2. Author Combined the merits of the Grasshopper Optimization Algorithm and Genetic Algorithm and created Hybrid Grasshopper Optimization Algorithm with Genetic Algorithm to solve the system of non-linear equations.
  3. Metaheuristic Algorithm Challenges: Large Search Space, Variables, Parameters, Algorithm trapped into local optima, High Computation Cost. Hybrid Meta-heuristics are used to overcome such problems.
  4. In Hybrid GOA-GA , Genetic algorithm is used to prevent the algorithm to trapped in local optima. And Grasshopper algorithm is used for the Global search.
  5. Grasshopper algorithm is used for Exploration Phase (i.e., Global Search) and the Genetic Algorithm is used for the Exploitation phase (i.e., Local Search).



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