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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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Benchmarking Optimization Algorithms | Mean and Standard Deviation Calculation

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 Benchmarking Optimization Algorithms Watch Now:  https://youtu.be/uBlACmRLv14 Learn about Benchmark Functions & Role of Mean & Standard Deviation in Metaheuristics Video Chapters: Mean & SD Analysis in Optimization Algorithms 00:00 Introduction 00:33 Why Benchmarking is used in Metaheuristic Algorithms? 03:26 Benchmark Function Testing 07:53 Calculate Mean and SD from Benchmark Functions 12:12 Calculation using Python 12:30 Algorithms Comparison 13:40 Conclusion Benchmarking is essential in metaheuristic algorithms to evaluate and compare their performance using standardized test functions. It helps measure accuracy, stability, and efficiency before applying these algorithms to real-world problems. Key concepts include: Mean (μ): Indicates the average performance of an algorithm. Standard Deviation (σ): Measures result in variability across multiple runs, reflecting stability. Benchmark Functions: Artificial test functions (e.g., Sphere, Rastrigin, Ackl...
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