Abstract Chronic Disease Prediction plays a pivotal role in healthcare informatics. It is crucial
to diagnose the disease at an early stage. This paper presents a survey on the utilization of …

Steganography is the primary method by which individuals can communicate covertly;
cryptography, on the other hand, fails at this, as it is possible to detect (the presence of) …

Agriculture is one of the prime sources of economy and a large community is involved in
cropping various plants based on the environmental conditions. However, a number of …

Feature selection is an effective approach to reduce the number of features of data, which
enhances the performance of classification in machine learning. In this paper, we formulate …

Current work reports about the development of a new feature selection technique fusing two
concepts, multimodal multiobjective optimization and filter-based feature selection. Use of …

Feature selection based on fuzzy rough sets is an effective approach to select a compact
feature subset that optimally predicts a given decision label. Despite being studied …

Feature selection is a robust technique for data reduction and an essential step in successful
machine learning applications. Different feature selection methods have been introduced in …

In feature selection, the number of selected features and the classification accuracy are two
common objectives to be optimized. However, few studies pay attention to which features …

A proper soil prediction is one of the most important parameters to decide the suitable crop
which is generally performed manually by the farmers. Therefore, the efficiency of the …

Image steganalysis is the process of detecting the availability of hidden messages in the
cover images. Therefore, it may be considered as a classification problem which categorizes …