Results 241 to 250 of about 1,489,144 (280)

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

Advanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano, Matias L. Picchio, Daniele Mantione, David Mecerreyes, George G. Malliaras   +4 more
wiley   +1 more source

Research on Binary Mixed VOCs Gas Identification Method Based on Multi-Task Learning. [PDF]

Sensors (Basel)
Mei H, Yang R, Peng J, Meng K, Wang T, Wang L.   +5 more
europepmc   +1 more source

Bridging Optical and Mechanical Metamaterial/Metasurface Realms Toward Integrated Meta‐Systems

Advanced Optical Materials, EarlyView.
This perspective describes the rise of metamaterials in the field of materials science, specifically with optical and mechanical functionality. Fundamentals of both optical and mechanical metamaterials are discussed with a review of state‐of‐the‐art metamaterial science.
Justin Brackenridge, Jaejun Lee, Vladimir V. Tsukruk   +2 more
wiley   +1 more source

Enhancing Direction-of-Arrival Estimation with Multi-Task Learning. [PDF]

Sensors (Basel)
Bianco S, Celona L, Crotti P, Napoletano P, Petraglia G, Vinetti P.   +5 more
europepmc   +1 more source

An Attention-Aware Multi-Task Learning Framework Identifies Candidate Targets for Drug Repurposing in Sarcopenia. [PDF]

J Cachexia Sarcopenia Muscle
Reza MS, Qiu C, Lin X, Su KJ, Liu A, Zhang X, Gong Y, Luo Z, Tian Q, Nwadiugwu M, Liang S, Shen H, Deng HW.   +12 more
europepmc   +1 more source

Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning. [PDF]

J Biomed Semantics
Naufal T, Mahendra R, Wicaksono AF.
europepmc   +1 more source

Enhancing medical text classification with GAN-based data augmentation and multi-task learning in BERT. [PDF]

Sci Rep
Chen X, Du Y.
europepmc   +1 more source

Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques. [PDF]

Sci Rep
Khanmohmmadi S, Khatibi T, Tajeddin G, Akhondzadeh E, Shojaee A.   +4 more
europepmc   +1 more source

Self-Supervised Multi-Task Learning for the Detection and Classification of RHD-Induced Valvular Pathology. [PDF]

J Imaging
Mugambi L, Wa Maina C, Zühlke L.
europepmc   +1 more source

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Multi-task reinforcement learning

Proceedings of the 24th international conference on Machine learning, 2007
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknown distribution. We model the distribution over MDPs using a hierarchical Bayesian infinite mixture model.
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli   +3 more
openaire   +1 more source