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Implementation of Whale Optimization for Budding Healthiness of Fishes with Preprocessing Approach.

Pravin R KshirsagarHariprasath ManaoharanVineet TirthSaiful IslamSandeep SrivastavaVarsha SahniM ThangamaniM M KhanapurkarVenkatesa Prabhu Sundramurthy
Published in: Journal of healthcare engineering (2022)
This article examines distinctive techniques for monitoring the condition of fishes in underwater and also provides tranquil procedures after catching the fishes. Once the fishes are hooked, two different techniques that are explicitly designed for smoking and drying are implemented for saving the time of fish suppliers. Existing methods do not focus on the optimization algorithms for solving this issue. When considering the optimization problem, the solution is adequate for any number of inputs at time t . For this combined new flanged technique, a precise system model has been designed and incorporated with a set of rules using contention protocols. In addition, the designed system is also instigated with a whale optimization algorithm that is having sufficient capability to test the different parameters of assimilated sensing devices using different sensors. Further to test the effectiveness of the proposed method, an online monitoring system has been presented that can monitor and in turn provides the consequences using a simulation model for better understanding. Moreover, after examining the simulation results under three different scenarios, it has been observed that the proposed method provides an enhancement in real-time monitoring systems for an average of 78%.
Keyphrases
  • machine learning
  • randomized controlled trial
  • deep learning
  • healthcare
  • systematic review
  • primary care
  • climate change
  • quality improvement
  • virtual reality
  • sensitive detection
  • smoking cessation