Results 251 to 260 of about 2,534,689 (298)

Intelligent Congestion Control in the Internet of Vehicles Employing Network Slicing in 5G Architecture. [PDF]

Sensors (Basel)
Ahmad AW, Gul RS, Derawi M.
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM. [PDF]

Acta Crystallogr D Struct Biol
Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS.   +6 more
europepmc   +1 more source

Ensemble learning-based online sequential pre-interference extreme learning for concept drifting and class imbalanced data streams. [PDF]

PLoS One
Huang Y, Wen H, Tang Q, Liu H.
europepmc   +1 more source

Blockchain-enhanced federated learning for IoT security and privacy using the GSR-C2N model. [PDF]

Sci Rep
Ahmad S, Ansari MA, Mewada A, Ahmed G.
europepmc   +1 more source

Algorithmically curated music listening and academic stress recovery in university students: examining algorithmic trust, emotional autonomy, and privacy concerns. [PDF]

Front Psychol
Zheng X, Wang H, Liu Q.
europepmc   +1 more source

Quantum-enhanced spiking intelligence framework for real-time anomaly detection in industrial internet of things. [PDF]

Sci Rep
Awan KA, Albakri AO, Alhayan F, Alsolai H, Alabdullah B, Ayouni S, Song H.   +6 more
europepmc   +1 more source

STR-GNN: stability-regularized graph neural networks for suppressing spurious temporal variations in dynamic community detection. [PDF]

Sci Rep
Qu D, Ma Y, Wang Y.
europepmc   +1 more source

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Algorithm Recommendation for Data Streams

2020 25th International Conference on Pattern Recognition (ICPR), 2021
In the last decades, many companies have taken advantage of knowledge discovery to identify valuable information in massive volumes of data generated at high frequency. Machine learning techniques can be employed for knowledge discovery since they can extract patterns from data and induce models to predict future events.
Jáder M. C. de Sá, André L. D. Rossi, Gustavo E. A. P. A. Batista, Luís Paulo F. Garcia   +3 more
openaire   +1 more source

Streaming Algorithms for Halo Finders

2015 IEEE 11th International Conference on e-Science, 2015
Cosmological N-body simulations are essential for studies of the large-scale distribution of matter and galaxies in the Universe. This analysis often involves finding clusters of particles and retrieving their properties. Detecting such "halos" among a very large set of particles is a computationally intensive problem, usually executed on the same ...
Zaoxing Liu, Nikita Ivkin, Lin Yang 0011, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang   +9 more
openaire   +1 more source