Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Resource allocation of distributed MIMO radar based on the hybrid action space reinforcement learning. [PDF]
Zhu J, Liu W, Lyu F, Li S, Zhang T.
europepmc +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
Receiver Location Optimization for Heterogeneous S-Band Marine Transmitters in Passive Multistatic Radar Networks via NSGA-II. [PDF]
Li X, He P, Song J, Wang Z.
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Error-Constrained Entropy-Minimizing Strategies for Multi-UAV Deception Against Networked Radars. [PDF]
Ban H +5 more
europepmc +1 more source
TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong +5 more
wiley +1 more source
Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism
Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono +5 more
wiley +1 more source
Recognition of PRI modulation using an optimized convolutional neural network with a gray wolf optimization based on internet protocol and optimal extreme learning machine. [PDF]
Khodabandeh M, Mahmoodzadeh A, Agahi H.
europepmc +1 more source
Compensation of Motion-Induced Phase Errors in TDM MIMO Radars
Jonathan Bechter +2 more
semanticscholar +1 more source

