Results 91 to 100 of about 21,724,319 (311)

Practical pollsterless remote electronic voting

open access: yes, 2007
This thesis describes the design of a novel class of pollsterless voting schemes. Many cryptographic voting schemes necessitate a pollster because the client side computations are beyond the understanding or ability of the voter.
Timothy W. Storer, Storer, Timothy W.
core  

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

Blockchain-Driven E-Voting: Enhancing Security and Integrity with Smart Contracts

open access: yesJISR on Computing
In any democratic electoral system the fundamental right of every eligible citizen is to vote in order to elect the desired representative. However minimal efforts have been made to improve the voting mechanism.
Urooj Waheed   +4 more
doaj   +1 more source

Malfunction or Misfit: Comparing Requirements, Inputs, and Public Confidence Outcomes of E-Voting in the U.S. and Europe

open access: yes, 2008
While European democracies are increasingly adopting e-voting technology – including remote voting via public networks – the e-voting experience in the U.S. has been one of disenchantment.
Miller, Gregory A., Sebes, E. John
core  

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen   +5 more
wiley   +1 more source

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

Relationships Among e-Voting, e-Auction, e-Cheque, and e-Cash

open access: yesIEEE Access
This paper illustrates how a transformation technique can be used to demonstrate the relationship among e-voting, e-auction, e-cheque, and e-cash, even though they serve distinct purposes.
Yun-Xing Kho   +3 more
doaj   +1 more source

Efficient algorithm for designing weighted voting games [PDF]

open access: yes
Weighted voting games are mathematical models, used to analyse situations where voters with variable voting weight vote in favour of or against a decision. They have been applied in various political and economic organizations.
Paterson, Michael S.   +2 more
core  

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

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