Results 181 to 190 of about 243,321 (257)

Developing a Naïve Bayes risk classification machine learning algorithm to predict high viral load in a low-resource setting. [PDF]

PLOS Glob Public Health
Gonah L, Murakwani T.
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Demographic and Socioeconomic Factors Associated With ART Nonadherence Among 15 Years and Older South Africans. Evidence From the 2022 Cross-Sectional Population-Based Household Survey. [PDF]

AIDS Res Treat
Chamane S, Mabaso M, Reddy T, Chambale P, Skhosana K, Sewpaul R, Makola L, Ngcobo A, Mehlomakulu V, Molopa L, Jooste S, Moyo S, Zungu N, Zuma K.   +13 more
europepmc   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Leveraging remnant viral load samples for SARS-CoV-2 antibody seroprevalence trends among PLHIV in Kenya, February 2021-October 2022: a cross-sectional surveillance survey. [PDF]

BMJ Public Health
Chun H, Waruru A, Wafula R, Makokha E, Cheti E, Opollo VS, Joseph R, Dirlikov E, Bulterys M, Patel H, Junghae M, Kiiru J, Kariuki D, Achieng R, Wezuma M, Maina A, Kirui E, Odhiambo N, Carter JY, Schmitz M, Aman R, Bowen N, Kingwara L, Umuro M, Wanyama D, Ouma Ndiege K, Aoko A, Shiraishi R.   +27 more
europepmc   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Machine learning risk stratification to identify people living with HIV at high risk of delayed ART and advanced immunosuppression: a precision public health approach. [PDF]

Front Public Health
Yin J, Li T, Jin J, Chen J, Ba H, Zhang Y, Li J, Liu H, Ma K.   +8 more
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Body art among Saudi youth: a cross-sectional study of knowledge, practices, and health risks. [PDF]

Front Med (Lausanne)
Al-Atif HM, Jadaan NS, Mahmoud SA, Alyahya FS, Alshathri AH, Alsaeed AM, Alshathri AH, Al Murayyi R, Al Atif SA, Reddy RS.   +9 more
europepmc   +1 more source

Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering

Advanced Intelligent Systems, EarlyView.
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu, Chenggang Lu, Rui Zhang, Haijun Yan, Yesong Xu   +4 more
wiley   +1 more source