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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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Metaheuristic Optimization Algorithms in Web Mining, Text Clustering, Bi...

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Metaheuristic Optimization Algorithms in Big Data, Web Mining and Text Clustering.


Metaheuristic optimization algorithms are best swarm intelligence methods and widely used today in Big Data, Web Mining AND Text clustering. Using metaheuristic optimization algorithms we can solve complex Machine Learning problems. 

Clustering: Clustering is a common text mining technique. We can used clustering technique for the representation of Dataset that contain similarities between objects. We can use clustering in Web mining, Image Processing, Sentiment Analysis, Data Clustering, Text document clustering, and Text classification. Clustering technique is classified into 3 classes:
1.) Overlapping
2.) Partitioning
3.) Hierarchical 

In Partitioning Process we can use metaheuristic optimization approaches. Partitioning process is used for the transformation of any given problem into optimization problem. Partitioning process is based on either minimization or maximization. Partitioning methods are applied in:
- Computer Science for Web mining, Image processing and Image Pattern Recognition.
- In robotics
- In wireless sensor network

Metaheuristic Approaches can be used to solve big data and clustering problems:
- Swarm based optimization algorithms
- Evolutionary Algorithms
- Physics based optimization Algorithms
- Art based optimization algorithms
- Bio-inspired optimization algorithms


This video is based on role of Metaheuristic Optimization Algorithm on the Text Clustering applications, Big Data and Web Mining. and text clustering.
Video Timestamps:
Introduction: 00:00
Metaheuristic Optimization Algorithms Role: 00:25
Text Clustering: 01:12
Clustering Techniques: 02:20
Fitness Function: 02:32
Partitioning Methods: 03:02
Clustering Example: 04:04
Clustering Process: 05:06
Text Clustering Problem: 06:54
Metaheuristic Optimization Algorithms in Text Clustering: 07:46
Text clustering measures: 09:19
Web Document Clustering: 09:30


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