Advanced Functional Materials, EarlyView.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
CubeSat cybersecurity dataset for intrusion detection (CuCD-ID): Labelled NOS3/cFS telemetry (raw + augmented) with COSMOS reproduction scripts. [PDF]
Data BriefFayyaz Y +3 more
europepmc +1 more source
From Waste to Value: Conversion of Calcium Sulfate to Vaterite via Carbon Capture and Storage
Advanced Functional Materials, EarlyView.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
Secure and fault tolerant cloud based framework for medical image storage and retrieval in a distributed environment. [PDF]
Sci RepAmaithi Rajan A, V V, M A, R PK.
europepmc +1 more source
Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework
Advanced Functional Materials, EarlyView.The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim +15 more
wiley +1 more source
Federated reinforcement learning-driven multi-task optimization for robust and ethical edge internet of things security. [PDF]
Sci RepLi Y, Wang H, Xu G.
europepmc +1 more source
Advanced Functional Materials, EarlyView.By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb +3 more
wiley +1 more source
Bayesian-driven autonomous defense adaptive consensus optimisation for blockchain networks. [PDF]
Sci RepBhore SS, Natraj NA, Hallur GG.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source
Blockchain driven trust management for intelligent transportation systems in VANETs. [PDF]
Sci RepV H, P V, Chang E.
europepmc +1 more source