Results 81 to 90 of about 43,832 (276)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
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
Rancang Bangun Sistem E-Voting Pemilihan Ketua Osis SMA Mardisiswa Semarang Berbasis Web
Dalam dunia pendidikan, teknologi informasi berperan sangat penting untuk menunjang proses belajar mengajar dan kegiatan penunjang yang ada di sekolah, namun belum semua proses kegiatan terakomodir oleh perkembangan teknologi. Sistem pemilihan ketua OSIS
Firman Setyawan, Fandy Indra Pratama
doaj +1 more source
A privacy-preserving, decentralized and functional Bitcoin e-voting protocol
Bitcoin, as a decentralized digital currency, has caused extensive research interest. There are many studies based on related protocols on Bitcoin, Bitcoin-based voting protocols also received attention in related literature.
Bao, Zijian, Shi, Wenbo, Wang, Bin
core +1 more source
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
The Prospects of M-Voting Implementation in Nigeria [PDF]
Since independence, an average of 50% of registered voters participates in voting [1]. Similarly, an increasing rate of apathy was observed between the electorate and the elect, which was not unconnected with lack of transparency, accountability, and ...
Ayo, C. K., Ekong, U. O.
core
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source
E-Voting Solution for Romanian Parliament [PDF]
Every year hundreds of millions of people vote in a variety of settings in many countries around the world. People vote in public elections to choose government leaders and also in private elections to determine the course of action for groups that ...
Daniel Platon, Liviu Dunaev
core
Using Ubicomp systems for exchanging health information : considering trust and privacy issues [PDF]
Ambient Intelligence (AmI) and ubiquitous computing allow us to consider a future where computation is embedded into our daily social lives. This vision raises its own important questions and augments the need to understand how people will trust such ...
Briggs, Pamela, Little, Linda
core

