Reset
Showing 10 of 90 academic articles

Attention-based functional-group coarse-graining: a deep learning framework for molecular prediction and design

Ming Han, Ge Sun, Paul F. Nealey, Juan J. de Pablo • npj Computational Materials (2025)

Abstract Machine learning (ML) offers considerable promise for the design of new molecules and materials. In real-world applications, the design problem is often domain-specific, and suffers from insufficient data, particularly labeled data...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-025-01836-7

An ensemble approach for imbalanced multiclass malware classification using 1D-CNN

Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy • PeerJ Computer Science (2023)

Dependence on the internet and computer programs demonstrates the significance of computer programs in our day-to-day lives. Such demands motivate malware developers to create more malware, both in terms of quantity and variety. Researchers...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.1677

A metaheuristic with a neural surrogate function for Word Sense Disambiguation

Azim Keshavarzian Nodehi, Nasrollah Moghadam Charkari • Machine Learning with Applications (2022)

Word Sense Disambiguation (WSD) is one of the earliest problems in natural language processing which aims to determine the correct sense of words in context. The semantic information provided by WSD systems is highly beneficial to many task...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mlwa.2022.100369

A Topical Review of Graph Embedding in Graph Neural Networks

Willian Borges De Lemos, Lucas De Angelo Martins Ribeiro, Vanessa Telles Da Silva, Alessandro De Lima Bicho et al. • IEEE Access (2025)

Graph embeddings map graph-structured data into vector spaces for machine learning tasks. In Graph Neural Networks (GNNs), these embeddings are computed through message passing and support tasks such as node classification, link prediction ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3643796

SSMSFuse: A Spectral and Spatial Multiscale Coupling Fusion Model for Hyperspectral and Multispectral Image

Siyuan Liu, Yingchao Fan, Qi Hu, Bing Li et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

Hyperspectral image (HSI) has more spectral information than conventional images, which helps to distinguish targets in a complex scene more accurately. However, HSI typically has a low spatial resolution, which limits their application sce...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3586076

Authentic content as an effective mechanism for embedding patient voices in health innovation: a hypothesis and conceptual framework

Rohin Malhotra • Frontiers in Health Services (2026)

Health innovation systems continue to face persistent inefficiencies, mistrust, and escalating development costs despite rapid scientific progress. Although patient-engagement is increasingly recognised as essential for patient-centred heal...

DOAJ Open Access (DOAJ) DOI: 10.3389/frhs.2026.1833920

Smart IoT device for in field Black Sigatoka Disease recognition and mapping

Simone Figorilli, Lavinia Moscovini, Simone Vasta, Francesco Tocci et al. • Smart Agricultural Technology (2025)

Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.atech.2024.100762

A physics-informed spatiotemporal graph neural network for photovoltaic power forecasting and micro-anomaly localization

Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy (2026)

Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nxener.2026.101127

Consumers and Artificial Intelligence: An Experiential Perspective

Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler, Simona Botti • Journal of Marketing (2020)

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

OPENALEX Open Access DOI: https://doi.org/10.1177/0022242920953847