This review article provides a comprehensive examination of the state-of-the-art in maize
disease detection leveraging Convolutional Neural Networks (CNNs). Beginning with the …

Artificial Intelligence (AI) has been evident in the agricultural sector recently. The objective of
AI in agriculture is to control crop pests/diseases, reduce cost, and improve crop yield. In …

This paper proposes a new dual horizontal squash capsule network (DHS‐CapsNet) to
classify the lung and colon cancers on histopathological images. DHS‐CapsNet is made up …

Many routing algorithms in capsule networks (CapsNets) suffer seriously from a large
amount of parameter training during iterations. To address this issue, a non-iterative …

Today, cancer is one of the leading causes of death in humans in the world. Cancers affect
different parts of the human anatomy in different ways. There are significantly more deaths …

The capsule network (Caps) is a novel type of neural network that has great potential for the
classification of hyperspectral remote sensing. However, the Caps suffers from the issue of …

Large-scale commercial platforms usually involve numerous business domains for diverse
business strategies and expect their recommendation systems to provide click-through rate …

The work of the Ophthalmologist in manually detecting specific eye related disease is
challenging especially screening through large volume of dataset. Deep learning models …

Deep learning (DL) models are currently not widely deployed for critical tasks such as in
health. This is attributable to the" black box", making it difficult to gain the trust of …

Laju ekstraksi minyak (OER) tandan buah segar (TBS) kelapa sawit sangat bergantung
pada tahap kematangannya. Proses mendeteksi kematangan TBS kelapa sawit mengalami …