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Avascular Necrosis (AVN) || Early Detection, Better Outcomes || ~xRay Pixy

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Avascular Necrosis (AVN) is a condition where blood flow to the bone is reduced, causing bone cells to die. This leads to pain, joint damage, and difficulty in movement, especially in the hip. Early diagnosis and proper treatment can prevent permanent bone damage and improve quality of life. Video Chapter: AVN 00:00 Introduction 00:45 What is AVN? 01:55 About Bone Tissue 02:49 AVN Causes 03:38 AVN Symptoms 04:11 AVN Diagnosis 04:56 AVN of femoral head 05:33 How AVN Develops 07:28 Conclusions #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python #optimizationproblem #optimizationalgorithms 
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Invasive Weed Optimization (IWO) Algorithm Step-by-Step with Numerical E...

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Invasive Weed Optimization (IWO) Algorithm with Example

The invasive weed optimization algorithm (IWO) is a population-based metaheuristic optimization method inspired by the behavior of weed colonies. Weeds are unwanted plants (plant in the wrong place). Weeds can change their behavior according to the environment and gets fitter. Weeds plant can be easily found in: Parks, Fields, Garden, and Lawns

Invasive Weed Optimization Algorithm Steps.
1.) Initialization Phase Initialize all important parameters.
2.) Initialize Population. The initial population is created by spreading the finite number of seeds randomly in the search space.

3.) Compute Fitness Values. 
Every seed will grow into a flowering plant and produce seeds. [Reproduction]. Seed production is based on fitness values so compute:
  1. Individual Fitness Value
  2. Best Fitness Value
  3. Worst Fitness Value
4.) Random distribution of germinated seeds. Determine new positions of seeds in the search space
For Randomness and Adaption, the germinated seeds are normally distributed random numbers with a mean equal to zero. Seeds are normally distributed near to their parent pant.


Invasive Weed Optimization Algorithm Numerical Example.


#Metaheuristic #Algorithms
Meta-heuristic Algorithms
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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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