Results 231 to 240 of about 241,763 (280)

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Energy efficient group priority MAC protocol using hybrid Q-learning honey Badger Algorithm (QL-HBA) for IoT Networks. [PDF]

Sci Rep
Venkatachalam I, John SA, Srinivasan J, Palaniappan S, Somasundaram SK.   +4 more
europepmc   +1 more source

Targeting the PDK1/c‐Myc/SOX10 Signaling in Oligodendrocytes Alleviates Neuropathic Pain

Advanced Science, EarlyView.
This work reveals that oligodendrocyte homeostasis, mediated by PDK1, is a critical determinant of neuropathic pain (NPP) pathogenesis. Disruption of PDK1 in oligodendrocytes impairs SOX10‐dependent myelination programs through c‐Myc accumulation, leading to disrupted myelination and the pathophysiology of NPP.
Pingping Qiao, Lifang Guo, Guochao Yang, Chaoli Huang, He Wang, Jian‐Jun Yang, Guiquan Chen, Yimin Hu   +7 more
wiley   +1 more source

Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning. [PDF]

Biomimetics (Basel)
Olivares R, Salinas O, Ravelo C, Soto R, Crawford B.   +4 more
europepmc   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

A Temporal Deep Q Learning for Optimal Load Balancing in Software-Defined Networks. [PDF]

Sensors (Basel)
Sharma A, Balasubramanian V, Kamruzzaman J.   +2 more
europepmc   +1 more source

Advancing ASD identification with neuroimaging: a novel GARL methodology integrating Deep Q-Learning and generative adversarial networks. [PDF]

BMC Med Imaging
Zhou Y, Jia G, Ren Y, Ren Y, Xiao Z, Wang Y.   +5 more
europepmc   +1 more source

Optimizing Human-Robot Teaming Performance through Q-Learning-Based Task Load Adjustment and Physiological Data Analysis. [PDF]

Sensors (Basel)
Korivand S, Galvani G, Ajoudani A, Gong J, Jalili N.   +4 more
europepmc   +1 more source

Optimizing QoS and security in agriculture IoT deployments: A bioinspired Q-learning model with customized shards. [PDF]

Heliyon
Sonavane SM, Prashantha GR, Nikam PD, A V R M, Chauhan J, S S, Bavirisetti DP.   +6 more
europepmc   +1 more source

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Quad-Q-learning

IEEE Transactions on Neural Networks, 2000
This paper develops the theory of quad-Q-learning which is a new learning algorithm that evolved from Q-learning. Quad-Q-learning is applicable to problems that can be solved by "divide and conquer" techniques. Quad-Q-learning concerns an autonomous agent that learns without supervision to act optimally to achieve specified goals.
C, Clausen, H, Wechsler
openaire   +2 more sources