Automated plant disease analysis (APDA): performance comparison of machine learning techniques
A Akhtar, A Khanum, SA Khan… - 2013 11th International …, 2013 - ieeexplore.ieee.org
Plant disease analysis is one of the critical tasks in the field of agriculture. Automatic
identification and classification of plant diseases can be supportive to agriculture yield …
identification and classification of plant diseases can be supportive to agriculture yield …
[PDF][PDF] A comparative analysis and predicting for breast cancer detection based on data mining models
SF Khorshid, AM Abdulazeez… - Asian Journal of Research …, 2021 - dl.safirdep.com
Breast cancer is one of the most common diseases among women, accounting for many
deaths each year. Even though cancer can be treated and cured in its early stages, many …
deaths each year. Even though cancer can be treated and cured in its early stages, many …
WARM: a new breast masses classification method by weighting association rule mining
MR Keyvanpour, M Barani Shirzad… - Signal, Image and Video …, 2022 - Springer
Breast cancer is the growth of a malignant tumor in the breast. The incidence of this disease
in women has increased significantly in recent years. Currently, early detection is an …
in women has increased significantly in recent years. Currently, early detection is an …
[PDF][PDF] Bayesian networks for defining relationships among climate factors
G De la Torre-Gea, GM Soto-Zarazúa… - IJPS, 2011 - academicjournals.org
Factors that shape the weather are studied to design models to make predictions.
Understanding the relationships among these factors contribute to a better knowledge of …
Understanding the relationships among these factors contribute to a better knowledge of …
Optimal feature extraction technique for crop classification using aerial imagery
Identification and classification of crops cultivated areas using satellite images is important
for making different types of analysis to formulate policies and plan in agricultural and …
for making different types of analysis to formulate policies and plan in agricultural and …
[PDF][PDF] Discrete shearlet transform based classification of microcalcification in digital mammograms
JA Ali, J Janet - J Comput Appl (JCA), 2013 - academia.edu
In this paper, classification of microcalcification in digital mammogram based on Discrete
Shearlet Transform (DST) is proposed. The clusters of microcalcifications in digital …
Shearlet Transform (DST) is proposed. The clusters of microcalcifications in digital …
Detection of microcalcification clusters using hessian matrix and foveal segmentation method on multiscale analysis in digital mammograms
B Thangaraju, I Vennila, G Chinnasamy - Journal of digital imaging, 2012 - Springer
Mammography is the most efficient technique for detecting and diagnosing breast cancer.
Clusters of microcalcifications have been mainly targeted as a reliable early sign of breast …
Clusters of microcalcifications have been mainly targeted as a reliable early sign of breast …
[PDF][PDF] Detection of breast cancer in mammograms through a new features and decision tree based, classification framework
AY Ebrahim - Journal of Theoretical and Applied Information …, 2017 - researchgate.net
This research proposes a new framework for detection of breast cancer. Currently,
mammography is the primary tool for early detection and diagnosis. The use of computer …
mammography is the primary tool for early detection and diagnosis. The use of computer …
Crop classification using feature extraction from satellite imagery
Plants are a major source of food stuff, medicine and industry. However it is an important
and difficult task to recognize species of crop on earth. Therefore it is pertinent to design an …
and difficult task to recognize species of crop on earth. Therefore it is pertinent to design an …
MRT letter: Segmentation and texture‐based classification of breast mammogram images
Breast cancer is the most common cancer diagnosed among women. In this article, support
vector machine is used to classify digital mammogram images into malignant and benign …
vector machine is used to classify digital mammogram images into malignant and benign …