Results 121 to 130 of about 66,291 (256)

KAN-DeScoD: Kolmogorov-Arnold Network Enhanced Deep Score-Based Diffusion Model for ECG Denoising. [PDF]

Sensors (Basel)
Shu Z, Zhai D, Huang L, Zhang Y, Liu T.
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Deep-Neural-Network-Aided Genetic Association Testing in Samples with Related Individuals. [PDF]

Curr Issues Mol Biol
Wu X.
europepmc   +1 more source

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

Ecography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile, Maximilian Pichler, Francesco Valerio, Lorenzo Balducci, Francesco Chianucci, Sérgio Godinho, Francesco Rota, Frédéric Archaux, Christophe Bouget, Gediminas Brazaitis, Thomas Campagnaro, Ettore D'Andrea, Luc De Keersmaeker, Wouter Dekoninck, Pallieter De Smedt, Zoltán Elek, Itziar García‐ Mijangos, Frédéric Gosselin, Marion Gosselin, Andrin Gross, Elena Haeler, Sebastian Kepfer‐ Rojas, Nathalie Korboulewsky, Daniel Kozák, Thibault Lachat, Carlos Miguel Landivar Albis, Anja Leyman, Xiang Liu, Anders Mårell, Radim Matula, Martin Mikoláš, Péter Ódor, Yoan Paillet, Kastytis Šimkevičius, Tommaso Sitzia, Silvia Stofer, Nicolas Strebel, Miroslav Svoboda, Flóra Tinya, Mariana Ujházyová, Kris Vandekerkhove, Kris Verheyen, Michael Wohlwend, Fotios Xystrakis, Sabina Burrascano   +44 more
wiley   +1 more source

Impedance Control Method for Tea-Picking Robotic Dexterous Hand Based on WOA-KAN. [PDF]

Sensors (Basel)
Wang X, Li S, Ou J.
europepmc   +1 more source

Over three‐quarters of earthworm species lack protection in China, a crisis exacerbated by climate change

Ecography, EarlyView.
Earthworms, as ‘ecosystem engineers', play a crucial role in regulating ecosystem functions and shaping community structures. Due to climate change, earthworms face severe survival pressures and extinction risks. However, whether conservation efforts targeting aboveground biodiversity can cover the long‐neglected earthworm diversity remains unknown. To
Yajie Zhou, Shuo Zhang, Wen Qin, Zhuoyi Wu, , Shaolin Peng, Ting Zhou   +6 more
wiley   +1 more source

Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity prediction. [PDF]

Sci Rep
Rayka M, Naghavi SS.
europepmc   +1 more source

Unstable slow oscillations couple with epileptogenic fast‐rhythm bistability in sleep‐related epilepsy: A stereoelectroencephalographic study

Epilepsia, EarlyView.
We examined the functional relationship between large‐scale δ‐band phase synchrony and local epileptogenic β–γ‐band amplitude bistability during NREM sleep. Increased synchrony and strong bistability characterized the epileptogenic zone, with strongest effects during N2 sleep, when seizures most frequently occur.
Gaia Burlando, Chiara Belforte, Felix Siebenhühner, Luca Di Tullio, Lorenzo Chiarella, Vladislav Myrov, Frédéric Zubler, Monica Roascio, Francesco Cardinale, Satu Palva, J. Matias Palva, Laura Tassi, Lino Nobili, Gabriele Arnulfo, Sheng H. Wang   +14 more
wiley   +1 more source

Contralateral language network integration predicts and protects against naming decline after temporal lobe resection

Epilepsia, EarlyView.
Abstract Objective Anterior temporal lobe resection (ATLR) is an effective treatment for drug‐resistant temporal lobe epilepsy (TLE) but carries a substantial risk of language impairment, particularly in naming. Understanding and predicting the impact of ATLR on language functions remains a major clinical challenge.
Karl‐Heinz Nenning, Karin Trimmel, Lisa Bartha‐Doering, Marc Berger, Matthias J. Koepp, Georg Langs, Gregor Kasprian, John S. Duncan, Silvia B. Bonelli   +8 more
wiley   +1 more source

Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]

Sci Rep
Shen Y, Chen J, Wang W, Wu Q, Jiang D, Xia S.   +5 more
europepmc   +1 more source