In large datasets, irrelevant, redundant, and noisy attributes are often present. These can have a negative impact on the classification model accuracy. Therefore, feature selection is an effective pre-processing step intended to enhance performance by choosing small number of relevant or significant features. It important note that due NP-hard characteristics selection, search agent become tra...

About 170 nations have been affected by the COvid VIrus Disease-19 (COVID-19) epidemic. On governing bodies across globe, a lot of stress is created COVID-19 as there continuous rise in patient count testing positive, and they feel challenging to tackle this situation. Most researchers concentrate on data analysis using machine learning paradigm these situations. In previous works, Long Short-T...

Recently, cloud computing has gained recognition as a powerful tool for providing clients with flexible platforms, software services, and cost-effective infrastructures. Cloud is form of distributed that allows users to store process data in virtual environment instead physical server. This beneficial because it businesses quickly scale up or down their capacity, reducing the need invest expens...

This paper presents a novel technique for the synthesis of unequally spaced linear antenna array. The modified Invasive Weed Optimization (IWO) algorithm is applied to optimize the antenna element positions for suppressing peak side lobe level (PSLL) and for achieving nulls in specified directions. The novelty of the proposed approach is in the application of a constraint-based static penalty f...