This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Tackling Imbalanced Data in Chronic Obstructive Pulmonary Disease Diagnosis: An Ensemble Learning Approach with Synthetic Data Generation. [PDF]
Ko YH +6 more
europepmc +1 more source
Classification Method for Imbalanced Data using Ensemble Learning System
Sunil Chandolu, S.Prasad Babu Vagolu
openalex +1 more source
A single cell type Electro‐chromo‐emissive (ECECL) device integrating synchronized electrochromic (EC) and electrochemiluminescent (ECL) functions is developed using a mixed ionic‐electronic conductor (MIEC). A MIEC layer reduces ionic/electronic resistance, enabling ultrafast switching and enhanced optical contrast.
Hwandong Jang +5 more
wiley +1 more source
Comparative performance of bagging and boosting ensemble models for predicting lumpy skin disease with multiclass-imbalanced data. [PDF]
Gouda HF, Abdallah FDM.
europepmc +1 more source
Cross-Component Transferable Transformer Pipeline Obeying Dynamic Seesaw for Rotating Machinery with Imbalanced Data. [PDF]
Xu B, Ma B, Yang Z, Chen F, Li X.
europepmc +1 more source
Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao +8 more
wiley +1 more source
Predicting road traffic accident severity from imbalanced data using VAE attention and GCN. [PDF]
Shangguan A +6 more
europepmc +1 more source
Dynamic learning for imbalanced data in learning chest X-ray and CT images. [PDF]
Iqbal S +4 more
europepmc +1 more source
Enantioselective Growth of Chiral Serine‐Induced β‐Ag2Se Crystals from an Organoselenium Compound
Chiral amino acids direct the enantioselective crystallization of β‐Ag2Se nanocrystals from an organoselenium precursor. L‐ and D‐serine induce distinct morphologies and opposite homochiral adsorption preferences, transferring molecular handedness into the inorganic lattice.
Matan Oliel +5 more
wiley +1 more source

