Abstract In medical science, collecting and classifying data from various diseases is a vital task. The confused large amounts of are problems that prevent us achieving acceptable results. One the major for diabetic patients failure to properly diagnose disease. As result this mistake in diagnosis or early diagnosis, patient may suffer complications such as blindness, kidney failure, cutting of...

The criteria for measuring soil compaction parameters, such as optimum moisture content and maximum dry density, play an important role in construction projects. On sites, base/sub-base soils are compacted at the optimal to achieve desirable level of compaction, generally between 95% 98% density. present technique determining parameters laboratory is a time-consuming task. This study proposes i...

Many optimization problems have been successfully addressed using metaheuristic approaches. These approaches are frequently able to choose the best answer fast and effectively. Recently, use of swarm-based algorithms, a kind approach, has become more common. In this study, hybrid method called WOAGWO is proposed by combining Whale Optimization Algorithm (WOA) Grey Wolf (GWO). This aims realize ...

In this paper, a combination algorithm called GAIPSO, which combines GA and better version of the classic particle swarm optimization process, is used. order to calculate data enhancement in voltage profile, study uses GWO algorithm. The ideal position for proposed charging points inside distribution system goal. received comment thread solution (site & station size) further re-optimized by...

The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours swarm wolves hunting for prey. This paper presents recent progress on Optimization algorithm, its variants and their applications, issues, likely prospects. review revealed that opportunities still exists more robust stable GWO will overcome shortcomings existing variants. has potential to stimu...

The combined heating and power (CHP) plants are considered one of the promising methods to support goal “Carbon Peak Carbon Neutrality”. It is an important means take heat load optimal dispatch (LOD) further reduce energy consumption CHP plants. To achieve a better scheme, this paper employs potent algorithm by integrating grey wolf optimization (GWO) Levy flight (i.e., Levy–GWO algorithm) over...

Coal mine gas accident is one of the most serious threats in process safe coal mining, making it important to accurately predict emission. To improve accuracy emission prediction, a hybrid machine learning prediction model combining random forest (RF) algorithm, improved gray wolf optimizer (IGWO) algorithm and support vector regression (SVR) proposed, effect validated by using actual measured ...

In recent years, finding the optimal solution for image segmentation has become more important in many applications. The whale optimization algorithm (WOA) is a metaheuristic technique that advantage of achieving global while also being simple to implement and solving real-time problems. If complexity problem increases, WOA may stick local optima rather than optima. This could be an issue obtai...

Multilevel inverters are a new class of dc-ac converters designed for high-power medium voltage and power applications as they work at high switching frequencies in renewable by avoiding stresses like dv/dt has low harmonic distortion their output voltage. In variable speed drives generation systems, the use multilevel is obligatory. To estimate positions inverter configuration with value, fast...

This paper presents a new approach to control the position of microrobotics system with proportional-integral-derivative (PID) controller. By using sparrow search algorithm (SSA), optimal PID controller indicators were obtained by applying objective function namely, integral square time multiplied error (ISTES). The effeciency proposed SSAbased was verified comparisons made grey wolf optimizati...