Results 121 to 130 of about 2,448,644 (346)

CHOOSING AN OPTIMAL MODEL OF E-VOTING AS AN INNOVATIVE FORM OF ELECTION TECHNOLOGIES, TAKING INTO ACCOUNT THE INFORMATION AND TELECOMMUNICATION CAPABILITIES OF THE SYRIAN ARAB REPUBLIC

open access: yesRUDN Journal of Engineering Research, 2016
The article focuses on the technical issues of implementing such innovative forms of electoral technologies, such as electronic voting, in the Syrian Arab Republic.
K A Pupkov, Basel Shahin, S V Korotaeva
doaj  

Individual verifiability in electronic voting

open access: yes, 2023
This PhD Thesis is the fruit of the job of the author as a researcher at Scytl Secure Electronic Voting, as well as the collaboration with Paz Morillo, from the Department of Applied Mathematics at UPC and Alex Escala, PhD student. In her job at Scytl, the author has participated in several electronic voting projects for national-level binding ...
openaire   +4 more sources

SoK: Secure E-Voting with Everlasting Privacy [PDF]

open access: yes, 2023
peer reviewedVote privacy is a fundamental right, which needs to be protected not only during an election, or for a limited time afterwards, but for the foreseeable future.
MOSAHEB, Rafieh   +3 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Analysis of an Electronic Boardroom Voting System [PDF]

open access: yes, 2013
We study a simple electronic boardroom voting system. While most existing systems rely on opaque electronic devices, a scientific committee of a research institute (the CNRS Section 07) has recently proposed an alternative system. Despite its simplicity (in particular, no use of cryptography), each voter can check that the outcome of the election ...
Mathilde Arnaud   +2 more
openaire   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

Interpreting babel: classifying electronic voting systems

open access: yes, 2012
In an effort to promote a greater understanding of the voting systems that sit in the middle of the election technology spectrum - somewhere between hand-counted paper ballots and Internet voting - this work presents a classification of the electronic ...
Myers, Jessica, Franklin, Joshua
core  

Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee   +5 more
wiley   +1 more source

Simple and Secure Electronic Voting with Prêt à Voter

open access: yes, 2008
Prêt à Voter is an electronic voting system with very high security properties. We aim to make the system truly usable and applicable in elections with many races and candidates by allowing the vote to be formed using a voting machine and by printing a
Lundin, David
core  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

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