Results 181 to 190 of about 75,752 (263)

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Design of a robust neural network-based controller for frequency stability in microgrids. [PDF]

Sci Rep
Abdelsattar M, Khalaf IA, Hassan A, Ameen AG.   +3 more
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Correction: Brain signal complexity tracks mind-wandering and visual perceptual learning. [PDF]

Sci Rep
Krile L, Burles F, Chohan K, Kelly M, Kam JWY, Protzner AB.   +5 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Integrating NSGA-II and TOPSIS for Stacking Model Optimization in Pursuit of Halide Double Perovskite Screening. [PDF]

Materials (Basel)
Liang G, Zhang J.
europepmc   +1 more source

An Intelligent Microfluidics Enabled by Data‐Driven Deep Learning‐Based Microrobot‐Assisted Flow Manipulation

Advanced Intelligent Systems, EarlyView.
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley   +1 more source

Harnessing the Reactivity of Sulfinate Salts With Cystine: An Umpolung Approach to Residue‐Specific Peptide Modification

Angewandte Chemie, EarlyView.
While cysteine is widely employed as a nucleophilic handle for peptide modification, the electrophilicity of the oxidized form, cystine, is rarely exploited. This study describes a mild, photochemical coupling of sulfinate salts with peptide disulfides.
Joshua M. Hammond, Esteban Suárez‐Picado, Lena von Sydow, Hanna Bruss, Laurent Knerr, Magnus Johansson, Anaïs Noisier, Lara R. Malins   +7 more
wiley   +2 more sources

Optimal Transport Theory to Extract Spiking Motifs

Grimaldi A, Sotomayor-Gómez B, Gilson M, Perrinet L, Alamia A, Vinck M.   +5 more
europepmc   +1 more source