A Physical Adaptive Material Motor Unit Neural Network: A Hygromorph Composite Material Machine
Advanced Science, EarlyView.This study introduces a new class of material‐based intelligent machines. It presents a Physical Adaptive Material Motor Unit Neural Network, an assembly of smart 4D printed actuators and a controlling system that adapt through environmental interaction its shading behavior.
Charles de Kergariou +2 more
wiley +1 more source
Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment. [PDF]
Biomed Eng Comput BiolFendzi Mbasso W +6 more
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Advanced Science, EarlyView.Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Hyperparameter Optimization of Non-linear Machine Learning Models Using Bi-level Data-Driven Optimization. [PDF]
Comput Chem EngShahbazi A +3 more
europepmc +1 more source
Advanced Science, EarlyView.An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li +15 more
wiley +1 more source
Developing machine learning regression model optimized using Tabu search harmony search algorithm for prediction of mass transfer in membranes. [PDF]
Sci RepAbu-Hamdeh NH, Milyani AH, Almitani KH.
europepmc +1 more source
Advanced Science, EarlyView.Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
Hyperparameter optimization of YOLO using differential evolution, multi-fidelity optimization, and Bayesian optimization. [PDF]
Sci RepGill MU, Rajendran P.
europepmc +1 more source
Advanced Science, EarlyView.By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
An advanced framework for predicting pollen outbreaks using multi-input multi-output temporal convolutional networks and firefly algorithm. [PDF]
Sci RepSharma S +5 more
europepmc +1 more source