In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …

In view of the problems of ineffective feature extraction and low detection accuracy in
existing detection system, this study presents a novel machine vision-based approach …

In this research, we first offer unique notions of averaging and geometric aggregation
operators with confidence level by employing a probabilistic neutrosophic hesitant fuzzy …

The aim of this research is to develop an automated pallet inspection architecture with two
key objectives: high performance with respect to defect classification and computational …

The manufacturing of photovoltaic cells is a complex and intensive process involving the
exposure of the cell surface to high temperature differentials and external pressure, which …

As the World moves towards renewable energy, photovoltaic modules are a fundamental
option due to their green nature. However, the manufacturing process of solar cells is …

Among the most prevalent and serious retinal illnesses are glaucoma, diabetic retinopathy,
hypertension caused by diabetes, cataracts, and age-related macular degeneration. If these …

This paper presents the development of an industrial fall detection system utilizing YOLOv8
variants, enhanced by our proposed augmentation pipeline to increase dataset variance …

Retinal fundus imaging plays an essential role in diagnosing various stages of diabetic
retinopathy, where exudates are critical markers of early disease onset. Prompt detection of …

Decision support algorithm under SV-neutrosophic hesitant fuzzy rough information with
confidence level aggregation operators Page 1 http://www.aimspress.com/journal/Math AIMS …