Results 211 to 220 of about 201,623 (302)
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Paneugenesis: a regenerative systems hypothesis for advancing health promotion. [PDF]
Becker CM +5 more
europepmc +1 more source
A type of thermoelectric ionogels with convertible n‐p thermopowers are demonstrated with Seebeck coefficients ranging from ‐3.61 to +9.74 mV K−1. Thus, thermoelectric gating organic electrochemical transistor is achieved by employing ionogel as thermoelectric modules and ionic dielectrics simultaneously, paving the road to self‐powered, highly ...
Xingyu Hu +8 more
wiley +1 more source
Rotary Electromechanical System Integrating Non-Reciprocal Memory and Combinational Logic. [PDF]
Chen S, Straney D, Pasini D.
europepmc +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Intrinsic elaboration of prefrontal modularity: a dual-control model of axon bundling and synaptic docking. [PDF]
Yamamori T, Watakabe A, Skibbe H.
europepmc +1 more source
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
Innovative fuzzy reinforcement learning based energy management for smart homes through optimization of renewable energy resources with starfish optimization algorithm. [PDF]
Hamedani MMK +3 more
europepmc +1 more source

