We propose a deep learning approach to identify dragon fruit leaf diseases, namely Anthracnose, Stem Canker, and Scale Insect, through image classification. Agricultural disease diagnosis has been a manual, time-consuming ...

This report presents an IoT development smart irrigation system technology that use for water management and energy saving in agriculture. The system works with ESP32 and multiple sensors, including soil moisture sensor, ...

Interleukin-6 (IL-6) is a versatile cytokine that plays a key role in regulating the immune system, managing inflammation, and contributing to the development of diseases like COVID-19. Finding peptides that can trigger ...

Diabetic retinopathy (DR) is a dangerous condition that can result in vision loss for individuals with diabetes if it is not detected promptly. Identifying the specific stage of diabetic retinopathy is quite challenging ...

Colorectal cancer is one of the most common and life-threatening diseases worldwide, and colonoscopy remains the most effective method for early detection and removal of precancerous polyps from the human colon. However, ...

The leaf maybe named most important part of a plant. If the leaf gets concerned by few disease it impacts the whole plant. To catch a excellent product, the quality of the leaf must be guaranteed. To ensure the quality ...

This work seeks to explore how the switching intentions of traditional human librarian services to AI-based chatbots depend on factors among students. Research is directed bythe Push-Pull- Mooring (PPM) theory, and its ...

This paper proposes a semantic classification method for the identification of Luffa aegyptiaca leaf disease utilizing deep models. Since there were not any similar public data available, a highresolution dataset of 1,800 ...

Ovarian cancer is a clinical dilemma due to its originally asymptomatic nature and then varied presentation. Early and accurate detection becomes an urgent goal in the course of the optimization of the patient's outcome. ...

sleep disorders, including insomnia, obstructive sleep apnea, and restless leg syndrome, have significant impacts on human health and productivity. Conventional diagnostic methods, such as polysomnography, are resource-intensive ...