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
Epidemiological and digital syndromic surveillance data on dengue, chikungunya, and SARI in Brazil. [PDF]
Borges ME +3 more
europepmc +1 more source
Mechanotransducing Organic Electrochemical Diode for Crosstalk‐Inhibited Artificial Skin
An innovative approach is presented to a stretchable mechanotransducing diode that unifies rectification and tactile‐sensing functionality. This approach enables to fabricate the diode that maintains a large rectification ratio (5 × 102) at a high operational frequency (100 Hz).
Taeyeong Kim +7 more
wiley +1 more source
Predicting Sweetness Intensity and Uncovering Quantitative Interactions of Mixed Sweeteners: A Machine Learning Approach. [PDF]
Du T, He G, Hou X, Shi P, Zhou Z, Mao J.
europepmc +1 more source
A study of residue arithmetic algorithms using redundant binary number representations
明達 張
openalex +1 more source
From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage
This study introduces a new concept for carbon management that relies on the carbonation of industrial gypsum waste and yields phase‐pure vaterite at ambient conditions without any additives. The obtained vaterite is further shown to be a reactive material that develops compressive strength in aqueous suspensions like conventional cements.
Carlos Pimentel +4 more
wiley +1 more source
A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search. [PDF]
Liu X, Tian H.
europepmc +1 more source
Determination of the Minimum Number of Stages in a Binary Distillation Column Using Excel [PDF]
Yousuo Digieneni +2 more
openalex
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni +17 more
wiley +1 more source
Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL). [PDF]
Bayoumi H +3 more
europepmc +1 more source

