Results 171 to 180 of about 247,414 (295)
The Application of VR Technology in Engineering Issues: Geodesy and Geomatics, Mining, Environmental Protection and Occupational Safety. [PDF]
Strzałkowski P +5 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
CGRP: A versatile platform for exploring Cucurbitales genomics. [PDF]
Song T +16 more
europepmc +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
Next-generation protocol design for blockchain rewards with web-tool. [PDF]
Arshad MZ, Algarni A.
europepmc +1 more source
Mine, Interact, Learn, Repeat: Interactive Pattern-based Data Exploration
In many fields, the rapid growth of the amount of available data has created the need for automated tools to assist analysts in understanding these data and discovering useful knowledge in them. Pattern mining is a well-studied knowledge discovery task, which aims at providing concise, comprehensible descriptions of coherent regions in the data.
openaire +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Navigating the landscape of direct cellular reprogramming with DiReG. [PDF]
Lauber M, List M.
europepmc +1 more source
SIDE : a web app for interactive visual data exploration with subjective feedback [PDF]
De Bie, Tijl +3 more
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