A survey: electronic voting development and trends
Any practitioner working on electronic voting (e-voting) seems to have different opinions on the main issues that seem to affect the area. On the one handgiven the criticality and the risk e-voting systems potentially pose to the democratic process-e ...
Villafiorita, Adolfo +1 more
core
Towards A Secure Remote Electronic Voting in Tanzania Organizational Challenges
Research Article published by Advances in Computer Science: an International Journal, Vol. 3, Issue 5, September 2014This paper discusses organizational challenges that hinder the implementation of secure remote electronic voting in Tanzania and ...
Kimbi, Sylvester +2 more
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Efficient Semi-Quantum Secure Multi-Party Summation Protocol Based on Cancelable Random Masks and Its Applications. [PDF]
Wang D, Yang D, Wang H.
europepmc +1 more source
Protocol for developing an evidence-based expert consensus on efficacy evaluation and comorbidity management of integrated Chinese and Western medicine for pediatric tic disorders: a GRADE-based modified Delphi study. [PDF]
Bao M, Wang Y, Zhang N, Wang J, Li J.
europepmc +1 more source
Development and evaluation of machine learning models for predicting significant liver fibrosis stages: A retrospective analysis. [PDF]
Tjandra NW +7 more
europepmc +1 more source
A feature-efficient dual-task machine learning framework for predicting bone mineral density and osteoporosis stratification in resource-constrained environments. [PDF]
Maryum A +8 more
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A Contextually Grounded Competence Framework for a Dental Education: A Multi-Method, Stakeholder-Informed Development Study. [PDF]
Gummesson C +3 more
europepmc +1 more source
Robust learning framework for a scalable remote monitoring of autonomic dysreflexia: use-case in spinal cord injury. [PDF]
Fuchs B +7 more
europepmc +1 more source
A Multi-Center Trained Residual Neural Network for Robust Classification of Atrial High-Rate Episodes in Remotely Monitored Pacemakers and Defibrillators. [PDF]
Krimpen LV +14 more
europepmc +1 more source
Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls. [PDF]
Idrisoglu A, Behrens A.
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