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
Efficient material selection for training occluded mmWave radar-based gesture recognisers. [PDF]
Attygalle NT +3 more
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Continuous Full-Domain Highway Trajectory Tracking Based on Improved Deep-SORT and Inverse Covariance Intersection. [PDF]
Tian Z, Duan C, Gao S, Gu J, Lyu N.
europepmc +1 more source
Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su +4 more
wiley +1 more source
Performance Evaluation of Radar Systems
openaire +1 more source
Physics-informed deep learning-based adaptive beamforming for phased array weather radar. [PDF]
Sallam T, Attiya AM.
europepmc +1 more source
Gait Analysis Using mmWave Radar: A Skeleton-Based Approach with Point Cloud Transformer. [PDF]
Tang J +6 more
europepmc +1 more source
Recent Progress on Dynamically Tunable Multispectral Stealth Materials. [PDF]
Wu J +5 more
europepmc +1 more source

