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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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Algorithms Behind Space Missions ~xRay Pixy

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Learn different algorithms used in Space Missions.

Video Chapters: Algorithms Behind Space Missions
00:00 Introduction
00:52 Space Missions
04:26 Space Missions Challenges
07:04 Algorithms Used in Space Missions
10:36 Optimization Techniques
11:44 Conclusion 

NASA conducts space missions to explore the universe for various scientific, technological, and practical reasons:
  • Understanding Our Place in the Universe
  • Search for Life Beyond Earth
  • Studying Earth from Space
  • Advancing Technology
  • Supporting Human Exploration
  • Resource Utilization
  • Inspiring Humanity

Examples of NASA Space Missions

  1. Apollo Program: Sent humans to the Moon (1969–1972).
  2. Mars Rovers (Spirit, Opportunity, Perseverance): Explored Mars' surface and geology.
  3. Voyager Missions: Studied the outer planets and interstellar space.
  4. Hubble Space Telescope: Captured breathtaking images of the universe.
  5. International Space Station (ISS): Supports research in microgravity and international collaboration.

Different types of algorithms used in NASA's space missions:

Mars Rovers (Spirit, Opportunity, Perseverance):

  • Path Planning Algorithms:
    • Rovers used algorithms like A (A-Star)* to plan the safest route across rocky terrain.
  • Trajectory Optimization:
    • Algorithms calculated the best path (trajectory) to get to the Moon and back efficiently.
  • Image Processing Algorithms:
    • Cameras on the rovers used image-processing techniques to identify obstacles and study rocks.
  • Machine Learning:
    • Perseverance uses AI to decide which rocks to study, like the SuperCam laser to detect interesting samples.
  • Autonomous Navigation:
    • Algorithms allowed rovers to drive themselves without waiting for instructions from Earth.
  • Signal Processing:
    • Algorithms helped process weak signals from billions of miles away.
  • Onboard Data Compression:
    • Data collected from instruments was compressed for efficient transmission back to Earth.

NASA's missions have used:

  • Path Planning Algorithms for rovers and spacecraft.
  • Signal Processing for communication.
  • Optimization Techniques for Trajectories.
  • AI and Machine Learning for autonomous decisions.
  • Image Processing for cameras and telescopes.


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