Results 51 to 60 of about 34,166 (264)

Demokrasi dan Transformasi Digital : Analisis Digitalisasi Politik Melalui Penerapan E-Voting dalam Meningkatkan Mutu Demokrasi

open access: yesPolitika: Jurnal Ilmu Politik
In the rapidly evolving digital era, many democracies are undertaking digital transformation through the implementation of e-voting. E-voting is a digital system that aims to be a transformation tool in the voting mechanism, this will make changes in the
Muhammad Sadam   +2 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

open access: yesArthritis Care &Research, Accepted Article.
Objective VEXAS syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease ...
Kevin Byram   +25 more
wiley   +1 more source

Belgium, Brazil, Estonia – three visions of electronic voting

open access: yesŚwiat Idei i Polityki
The text analyzes the expanding role of technology in democracy, focusing on electronic voting (e-voting). With technological development, various fields have begun to use new solutions, and the same has occurred with democracy, which in this context ...
Julia Niesyn
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

On the Design and Implementation of a Blockchain Enabled E-Voting Application Within IoT-Oriented Smart Cities

open access: yesIEEE Access, 2021
A smart city refers to an intelligent environment obtained by deploying all available resources and recent technologies in a coordinated and smart manner.
Geetanjali Rathee   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Perancangan E-Voting berbasis Web

open access: yesJurnal Komputer Terapan, 2017
One form of democracy is marked by direct election of the President, Governor, Mayor, Regent to the election of the Chairman of the Rukun Warga and Rukun Tetangga. Rukun Tetangga or commonly abbreviated as RT is the area under Rukun Warga (RW).
Nurul Azwanti
doaj  

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

open access: yesAdvanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee   +13 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Home - About - Disclaimer - Privacy