Results 81 to 90 of about 15,948,532 (198)

HA-PI-MADT: A Hybrid Adaptive Multimodal Digital Twin-Inspired Framework for Reliable Healthcare Prediction with Improved Ranking and Calibration Performance

Future Internet
The integration of heterogeneous healthcare data sources remains a major challenge in developing reliable and personalized predictive systems for digital healthcare applications.
M. A. Elsabagh, Rana Albelaihi, Esraa Hassan   +2 more
doaj   +1 more source

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression

Scientific Reports
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data.
Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy   +3 more
doaj   +1 more source

Collective information seeking

, 2011
When searching for information, people often seek help from others. However, while people can benefit from communicating with others, they can usually satisfy their information needs, to some degree, without help ...
(), Gutwin, C. (Author), White, R. W. (Author), McCalla, G. (Author), Bateman, S. (Author)   +4 more
core  

A novel model for expanding horizons in sign Language recognition

Scientific Reports
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik   +3 more
doaj   +1 more source

Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease

Frontiers in Artificial Intelligence
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data.
Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens   +5 more
doaj   +1 more source

Effect of hyperparameter tuning of machine learning algorithms on the modeling quality of the distribution of three mosquito species in Morocco

Journal of Intelligent Systems
The widespread use of machine learning algorithms in dataset modeling requires a thorough understanding of the various tools likely to improve the modeling quality.
Douider Meriem, Amrani Ibrahim, Abik Mounia   +2 more
doaj   +1 more source

The Effect of Training Data Size on Disaster Classification from Twitter

Information
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis, Georgios Sylaios, Avi Arampatzis   +2 more
doaj   +1 more source

A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics

IEEE Access
Integrating Deep Learning (DL) into abdominal imaging represents a significant leap forward in diagnosing and managing abdominal conditions, offering the potential to transform conventional medical practices.
Mariem Bellal, Sanaa El Fkihi, Korhan Cengiz, Nikola Ivkovic   +3 more
doaj   +1 more source

Information Retrieval

Journal of the Forensic Science Society, 1970
openaire   +4 more sources

Explicit versus Latent Concept Models for Cross-Language Information Retrieval [PDF]

, 2009
Cimiano P, Schultz A, Sizov S, Sorg P, Staab S. Explicit versus Latent Concept Models for Cross-Language Information Retrieval. In: Boutilier C, ed. IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. Menlo Park,
Sizov, Sergej, Staab, Steffen, Sorg, Philipp, Cimiano, Philipp ; https://orcid.org/, Schultz, Antje, Boutilier, Craig   +5 more
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