COMPARATIVE ANALYSIS AMONG DISCRETE FOURIER TRANSFORM, K-MEANS AND ARTIFICIAL NEURAL NETWORKS IMAGE PROCESSING TECHNIQUES ORIENTED ON QUALITY CONTROL OF ASSEMBLED TIRES

The present paper discusses a comparative application of image processing techniques, i.e., Discrete Fourier Transform, K-Means clustering and Artificial Neural Network, for the detection of defects in the industrial context of assembled tires.The used Artificial Neural Network technique is based on Long Short-Term Memory and chicago cubs earrings

Context: Chronic arsenic toxicity (arsenicosis) is considered a serious public health menace worldwide, as there is no specific, safe, and efficacious therapeutic management of arsenicosis.Objectives: To collate the studies on medicinal plants and natural products with arsenic toxicity ameliorative effect, active pre-clinically and/or clinically.Me

Segmentation of magnetic resonance imaging (MRI) data is required for many applications, such as the comparison of different structures or time points, and for annotation purposes.Currently, the gold standard 12n/1200 wella for automated image segmentation is nonlinear atlas-based segmentation.However, these methods are either not sufficient or hig

Abstract In the last decades, our understanding of the role of the immune system in cancer has significantly improved and led to the discovery of new immunotherapeutic targets and tools, which boosted the advances in cancer immunotherapy to fight a growing number of malignancies.Approved immunotherapeutic approaches are currently mainly based on im

Though community-based scientific approaches are becoming more common, many scientific efforts are conducted by small groups of researchers that together develop a concept, analyze data, and interpret results that ultimately translate into a publication.Here, we present a community effort that breaks these traditional boundaries of the publication