HQRNN-FD: A Hybrid Quantum Recurrent Neural Network for Fraud Detection. [PDF]
Li YC +4 more
europepmc +1 more source
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
On the recurrent neural network model with robust expectile-based loss function in economic data forecasting. [PDF]
Saputra WH, Nariswari R, Owen M.
europepmc +1 more source
Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng +4 more
wiley +1 more source
A hybrid recurrent neural network and optimization framework for intelligent mobile robot navigation in smart manufacturing. [PDF]
Radha K, Karthikeyan S.
europepmc +1 more source
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
Rapid prediction of complex nonlinear dynamics in Kerr resonators using the recurrent neural network. [PDF]
Huang T +6 more
europepmc +1 more source
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Predictive remapping and allocentric coding as consequences of energy efficiency in recurrent neural network models of active vision. [PDF]
Nortmann T, Sulewski P, Kietzmann TC.
europepmc +1 more source
A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang +16 more
wiley +1 more source

