This review aims to uncover the multifaceted landscape of methodologies employed by
researchers for accurate fruit classification. The exploration encompasses an array of …

In the era of advancing artificial intelligence (AI), its application in agriculture has become
increasingly pivotal. This study explores the integration of AI for the discriminative …

Radiologists confront formidable challenges when confronted with the intricate task of
classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript …

Kidney failure is a condition with far-reaching, potentially life-threatening consequences on
the human body. Leveraging the power of machine learning and data mining, this research …

The impact of deep learning (DL) is substantial across numerous domains, particularly in
agriculture. Within this context, our study focuses on the classification of problematic …

One of the most common diseases affecting society around the world is kidney tumor. The
risk of kidney disease increases due to reasons such as consumption of ready-made food …

Seed classification plays a crucial role in various agricultural and industrial applications,
such as crop breeding, seed quality assessment, and plant disease identification. This study …

Chronic Kidney Disease (CKD) represents a significant global health challenge,
characterized by the progressive decline in renal function, leading to the accumulation of …

A recent and emerging public health concern is kidney disease, particularly Chronic Kidney
Disease (CKD), characterized by a gradual decline in kidney function due to various …

The shortage of nephrologists and the growing public health concern over renal failure have
spurred the demand for AI systems capable of autonomously detecting kidney abnormalities …