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Listar por autor "Suruliandi, A."
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An Empirical Evaluation of Machine Learning Techniques for Crop Prediction
Mariammal, G.; Suruliandi, A.; Raja, S. P.; Poongothai, E. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2023)Agriculture is the primary source driving the economic growth of every country worldwide. Crop prediction, which is critical to agriculture, depends on the soil and environment. Nutrient levels differ from area to area and ... -
Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation
Suruliandi, A.; Kasthuri, A.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ... -
Drug Target Interaction Prediction Using Machine Learning Techniques – A Review
Suruliandi, A.; Idhaya, T.; Raja, S. P. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a ... -
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers
Mariammal, G.; Suruliandi, A.; Segovia Bravo, Kharla Andreina; Raja, S. P. (Expert Systems, 2023)Agriculture is an essential part of human life. The crop productivity is based on the soil and environmental factors. Different crops are cultivated in different areas. Nowadays, the crop productivity level is affected by ...