According to the World Report by WHO on Hearing published in March, 2021, nearly 2.5
billion people will be deaf or hard of hearing by the year 2050. In 2020, the uncorrected …

The buzz surrounding artificial intelligence has made machine learning a hot topic right now.
Although there are many tools for visualising data, scripting languages are primarily used for …

Beech Bark Disease (BBD) represents a major problem for maple and beech forests
everywhere and the existing classification methods are not sufficient, hence, effective and …

The timely and rationally reliable differentiation of plants by diseases from the perspective of
fine agriculture is the most critical element, affecting crop yields and therefore global food …

Accurate and timely evaluation of Onion Purple Blotch Disease (OPBD) severity is highly
important for efficient management of crop outputs and reduction of economic losses in …

The ever-present threat posed by Distributed Denial of Service attack is highlighted. The
significance of building robust cybersecurity measures that are not just inventive but also …

This study proposed a relatively new hybrid model integrating Convolutional Neural
Networks (CNN) and Random Forest (RF) for the classification of tomato fruit rot diseases …

Gastric cancer is a significant global health concern, ranking as the fifth most prevalent
cancer and the third primary cause of cancer-related mortality. It was predicted that there …

This study presents a comparative analysis of two state-of-the-art deep learning models,
EfficientNet, and MobileNetV2, fine-tuned for the task of intel image classification into four …

Smart transportation systems (ITS) and autonomous vehicles hereby require up-to-date,
highly accurate, and essential tools for sign detection with efficiency. This research paper …