Recognition of sunflower diseases using hybrid deep learning and its explainability with AI
Sunflower is a crop that has many economic values and ornamental usages. However, its
production can be hampered due to various diseases such as downy mildew, gray mold …
production can be hampered due to various diseases such as downy mildew, gray mold …
[HTML][HTML] A comprehensive guava leaves and fruits dataset for guava disease recognition
Guava (Psidium guajava) is a delicious fruit native to Mexico, Central or South America, and
the Caribbean region. It's high in vitamin C, Calcium, Pectins and is a good source of fiber …
the Caribbean region. It's high in vitamin C, Calcium, Pectins and is a good source of fiber …
[HTML][HTML] Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition
Dragon fruit is a prominent substance in global agriculture. Despite this, it is gaining
popularity and is a viable solution in resource-poor, environmentally degraded areas …
popularity and is a viable solution in resource-poor, environmentally degraded areas …
Heart disease prediction using machine learning
S Bilgaiyan, TI Ayon, AA Khan… - 2023 International …, 2023 - ieeexplore.ieee.org
Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the
disease is called heart disease. Heart disease can have many causes, but high blood …
disease is called heart disease. Heart disease can have many causes, but high blood …
Systematic analysis of several deep learning approaches for covid-19 detection using x-ray images
COVID-19 is a virus-borne malady. A clinical study of infected COVID-19 patients found that
most COVID-19 patients suffered lung infection after contracting the disease. Consequently …
most COVID-19 patients suffered lung infection after contracting the disease. Consequently …
SunNet: a deep learning approach to detect sunflower disease
Helianthus annuus, often known as sunflower, is a crop that is only mildly affected by
drought. The agricultural sector of the economy benefits greatly from this. However, various …
drought. The agricultural sector of the economy benefits greatly from this. However, various …
A transfer learning approach to the development of an automation system for recognizing guava disease using CNN models for feasible fruit production
Guava (Psidium guava) is one of the most popular fruits which plays a vital role in the world
economy. To increase guava production and sustain economic development, early detection …
economy. To increase guava production and sustain economic development, early detection …
Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach
The heart is a finely-tuned instrument that serves the whole body. Heart disease is the most
common serious illness affecting human nature. Early diagnosis of heart disease is the most …
common serious illness affecting human nature. Early diagnosis of heart disease is the most …
Rose plant disease detection using deep learning
M Ali-Al-Alvy, GK Khan, MJ Alam… - … on Trends in …, 2023 - ieeexplore.ieee.org
The detection and identification of rose plant disease is the focus of this investigation.
Identification and detection are essential components of contemporary agro technology. In …
Identification and detection are essential components of contemporary agro technology. In …
Survivability prediction for patients with tonsil cancer utilizing machine learning algorithms
RH Nobin, M Rahman, MJ Alam - 2022 2nd International …, 2022 - ieeexplore.ieee.org
The most prevalent oropharyngeal malignancy is tonsil cancer, and as cancers caused by
the human papillomavirus (HPV) are becoming more common, their incidence is also …
the human papillomavirus (HPV) are becoming more common, their incidence is also …