All computer operation perform with help of sorting algorithms .the system's operation are solved some problems. Sorting algorithm can merge space and arrange sequence order. The computational complexity, ordering and other properties are performs under sorting algorithm. This paper is discus two type sorting algorithm: Selection sort and Shell sortRashid Nizam...
Helium 10 offers a suite of free tools designed to assist Amazon sellers in various aspects of their business. Here’s an overview of these tools: Amazon Keyword Tool: Enhance your product’s visibility by identifying relevant and high-performing keywords. Input a seed term or ASIN to uncover...
This paper develops a practical methodology for the analysis of sorting/searching algorithms. To achieve this objective an analytical study of Quicksort and searching problem was undertaken. This work explains that asymptotic analysis can be misleading if applied slovenly. The study provides a fresh ...
In this paper, we developed two novel algorithms integrating SAA and PHA for solving the CRFLP under uncertainty. The developed methods are innovative in that they blend the complementary aspects of PHA and SAA in terms of exactness and computational efficiency, respectively. Further, the developed ...
Evolutionary techniques for multi-objective(MO) optimization are currently gainingsignificant attention from researchers invarious fields due to their effe
In recent years, various algorithms for sorting and grading are done by various researchers using computer vision. This paper presents a detailed overview of various methods i.e. preprocessing, segmentation, feature extraction, classification which addressed fruits and vegetables quality based on color,...
Various techniques have been investigated for channel selection in the processing of EEG signals. This paper presents a survey for the recent developments in this field. Several flowcharts and tabular forms are presented to enable the reader to explore the different channel selection algorithms, to ...
Monte Carlo methods are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This technique propagates uncertainty by drawing multiple samples from the input distribution range and conducting simulations based on these samples. For instance, when an...
As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic
These companies have integrated AI into various services and products, such as Google's AI-powered search algorithms (Diamant 2017), Meta's recommendation systems (Hutson 2020), and Amazon's intelligent robotics applications (Diamant 2017). Subsequently, AI will have an even more significant impact...