Results 251 to 260 of about 8,331,707 (294)

Correction to: Deep reinforcement learning for automatic anatomic CT landmark localization in Stanford Type B aortic dissection. [PDF]

Radiol Adv
europepmc   +1 more source

Dynamic path optimization and multi-objective decision-making for photovoltaic tracking systems using deep reinforcement learning. [PDF]

Sci Rep
Qu Z, Wang Q.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Deep Reinforcement Learning for Autonomous Underwater Navigation: A Comparative Study with DWA and Digital Twin Validation. [PDF]

Sensors (Basel)
Mari Z, Nawaf MM, Drap P.
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Cardiac arrhythmia detection via PQRST analyzed data using an optimized hierarchical fused fuzzy deep reinforcement learning. [PDF]

BMC Med Inform Decis Mak
Mahdavi N, Sadeghi R, Daliri A, Zabihimayvan M, Alimoradi M, Knapp G, Bastanfard A.   +6 more
europepmc   +1 more source

A deep reinforcement learning framework for influence maximization problem on large-scale social networks. [PDF]

Sci Rep
Yang F, Wang Y, Shu N, Du X, Teng X, Liu J.   +5 more
europepmc   +1 more source

Deep Reinforcement Learning for Sustainable Urban Mobility: A Bibliometric and Empirical Review. [PDF]

Sensors (Basel)
Jamal S, Siddiqui F, Alam MA, Ayman-Mursaleen M, Zafar S, Naaz S.   +5 more
europepmc   +1 more source

Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]

Sci Rep
Charkhestani A, Esfahanipour A.
europepmc   +1 more source

Graph-based deep reinforcement learning for haplotype assembly with Ralphi. [PDF]

Genome Res
Battistella E, Maheshwari A, Ekim B, Berger B, Popic V.   +4 more
europepmc   +1 more source