Hey there, it's Maria Sultana Keya. AI reachers, I have completed my bachelor's degree from Daffodil International University. I am a potential researcher, although I am very much confident at Machine Learning, Data Mining, Deep Learning, IoT, etc.
"The rise of Google, the rise of Facebook, the rise of Apple, I think are proof that there is a place for computer science as something that solves problems that people face every day." ~ Eric Schmidt
Title: Performance Analysis of Machine Learning Approaches in Stroke Prediction
Abstract: Most of the strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness of different warning signs of stroke can minimize the stroke. This research work proposes an early prediction of stroke diseases by using different machine learning approaches..... Continue Reading
Title: Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy
Abstract: There has been severe experiments from academics and merchandisers concerning models for Predicting bankruptcy. The paper propounds an extensive rethink of work done during 5 years in the petition of intellectual strategy to accomplish bankruptcy prediction problems. Several machine learning directions are being used in this research paper for Predicting bankruptcy..... Continue Reading
Title: Machine Learning based Image Classification of Papaya Disease Recognition
Abstract: To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly required to support agriculture to make it highly effective and helpful particularly for papaya cultivation...... Continue Reading
Title: Performance Analysis of Diabetic Retinopathy Prediction using Machine Learning models
Abstract: Diabetic Retinopathy (DR) is a symptom of diabetes that affects the eyes. The blood vessels of the light tissue behind the eyes are damaged (retina). Machine Learning (ML) techniques play a vital role in computer aid diagnosis and discover successful systems for detecting life-threatening diseases. This research aimed to predict diabetic retinopathy and also implement feature extraction to figure out some features..... Continue Reading
Title: Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches
Abstract: Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain tumor detection, covid 19 detections, and many more. The kidney is the most important organ of our body and if it has any problem then the impact is more dangerous to our body..... Continue Reading
Title: Predicting performance analysis of garments women working status in Bangladesh using machine learning approaches
Abstract: In Bangladesh, the garment industry has played an important role in economically uplifting a diverse community of poor and marginalized people. There are now 4,825 garment factories that employ more than three million people. Completely 85% of these employees are female. But most of the female workers work to support their family and also contribute his family to lead a minimum life..... Continue Reading
Title: A Comparative Analysis of Autistic Spectrum Disorder (ASD) Disease for Children using ML Approaches
Abstract: Autistic Spectrum Disorder (ASD) is a neuro developmental disorder that is associated with significant treatment costs and can significantly decrease these early diagnoses. Unfortunately, time delay is occurred and procedures are not economically efficient for an ASD diagnosis..... Continue Reading