This paper examines the various different types of electronic voting systems, and distinguishes between electronic machine voting and electronic distance voting. The prospects of electronic voting systems are unclear; this paper observes some of the risks and the costs that are associated with electronic voting systems. This paper discusses security requirements when using information communica...

Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting s...

Voter anonymity and voting correctness are important issues for electronic voting mechanisms. Compared electronic voting with traditional 1elections, an electronic voter is able to cast his/her ballot through the Internet in any place and at any time if he/she can access the network. Therefore, convenience and mobility make electronic voting become more and more popular and electronic voting ca...

World wide, there are various proposals for automating manual voting processes. This paper considers two different e-voting schemes, Internet voting and direct recording electronic (DRE) voting systems, explicitly focusing on risk to the integrity of the voting process. Fair elections must assure voter authentication, vote confidentiality and integrity, and the ability to audit the election. E-...

Plurality voting is widely used in pattern recognition practice. However, there is little theoretical analysis of plurality voting. In this paper, we attempt to explore the rationales behind plurality voting. The recognition/error/rejection rates of plurality voting are compared with those of majority voting under different conditions. It is demonstrated that plurality voting is more efficient ...

Sum& Conclusions Voting is important in the realization of ultrareliable systems based on the multi-channel computation paradigm. In an earlier paper (1991 Aug) I dealt with voting networks, viz, hardware implementation of certain voting schemes. A voting algorithm specifies how the voting result is obtained from the input data and can be the basis for implementing a hardware voting network or ...

Objectives: To develop a hybrid machine learning (ML) model that predicts Alzheimer’s disease (AD) accurately. Methods : This study used the Open Access Series of Imaging Studies (OASIS) dataset to ML model. Given this data, we utilized five algorithms i.e., Logistic Regression, Gaussian Naive Bayes, K Nearest Neighbor, Support Vector Machine, and Decision Tree. An ensemble technique was employ...