Mohd Naved

TL;DR: An Alzheimer's disease detection framework consisting of image denoising of an MRI input data set using an adaptive mean filter, preprocessing using histogram equalization, and feature extraction by Haar wavelet transform is presented.

TL;DR: An evolutionary approach for classifying and detecting breast cancer that is based on machine learning and image processing that is advantageous for accurately identifying breast cancer disease using image analysis is discussed.

TL;DR: In the agriculture and healthcare industries, AI has been deployed to achieve better crop production, disease prediction, continuous monitoring, efficient supply chain management, improved operational efficiency and reduced water waste, with the main goal of designing standard, reliable product quality control methods and the search for new ways of reaching and serving society while maintaining low cost as mentioned in this paper.

TL;DR: In the e-commerce and financial industries, AI has been deployed to achieve better customer experience, efficient supply chain management, improved operational efficiency, and reduced mate size, with the main goal of designing standard, reliable product quality control methods.

TL;DR: Because the decision tree model consistently beat the naive Bayes and support vector machine models, it was fine-tuned for best performance in forecasting the likelihood of heart disease in diabetes individuals.