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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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All Members-Based Optimizer (AMBO) || STEP-BY-STEP || ~xRay Pixy

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All Members-Based Optimizer (AMBO)


Learn All Members-Based Optimizer Step-by-Step with Examples.
Algorithm Type: Metaheuristic Optimization Technique
Algorithm Main Idea: Make more use of the Population Matrix.
Tested on Different Benchmark Test Functions.
Algorithm Performance: Provide Better results in comparison with different metaheuristic optimization algorithms.
Used for Solving Optimization Problems.

ALGORITHM MAIN IDEA

Make use of the Population Matrix and All Members can play role in Updating Algorithm Population.

ALL MEMBERS-BASED OPTIMIZER STEPS

STEP 01: Initialize Algorithm Important Parameters. STEP 02: Initialize Population Randomly in the Search Space. STEP 03: Evaluate Initial Population using the Fitness Function. STEP 04: Check While (Current Iteration < Maximum Iteration) Do STEP 05: Update Members Position and Best Member Position. STEP 06: Update Population Members using STAGE 01. STEP 07: Update Population Members using STAGE 02. STEP 08: Save Best Solution in the Memory. STEP 09: Increment Counter. STEP 10: Best Solution Found.

ALL MEMBERS-BASED OPTIMIZER FLOWCHART



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