A recurrent neural network for sequential estimation of examinees' knowledge state [PDF]
El-Sayed M. El-Alfy, Syed S. Jafri
openalex
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM. [PDF]
Yang X, Wang J, Huang X, Wang Y, Xiao X.
europepmc +1 more source
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang +12 more
wiley +1 more source
Polar code construction by estimating noise using bald hawk optimized recurrent neural network model. [PDF]
Kshirsagar SY, Marka V.
europepmc +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Enhancing indoor activity recognition for disabled persons using multi head self attention recurrent neural network with improved pelican algorithm. [PDF]
Arasi MA +3 more
europepmc +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
OpDetect: A convolutional and recurrent neural network classifier for precise and sensitive operon detection from RNA-seq data. [PDF]
Karaji R, Peña-Castillo L.
europepmc +1 more source
Deadlift Recognition and Application based on Multiple Modalities using Recurrent Neural Network
Alexandre Fenneteau +2 more
openalex +2 more sources

