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
Collective memory and social imaginaries of the epidemic situation in COVID-19-based on the qualitative research of college students in Wuhan, China. [PDF]
Luo R, Feng W, Xu Y.
europepmc +1 more source
Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki +7 more
wiley +1 more source
Recasting Bhāratavarṣa : Exploring the Intersection of Space, Memory, and Identity
The socio-historical transformations of Bhāratavarṣa have continually reshaped its collective memory and identities. This study delves into the relationship between space, memory and societal identities, tracing how multiple identities have evolved ...
Drishti Kalra
doaj +1 more source
Measles, Media and Memory: Journalism's Role in Framing Collective Memory of Disease. [PDF]
Conis E, Hoenicke S.
europepmc +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
The impact of group identity on the interaction between collective memory and collective future thinking negativity: Evidence from a Turkish sample. [PDF]
Hacıbektaşoğlu D +3 more
europepmc +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Collective memory for American leaders: Measuring recognition for the names and faces of the US presidents. [PDF]
Putnam AL, Drake SM, Wang SY, DeSoto KA.
europepmc +1 more source
“#schleichdiduoaschloch” Terror, Collective Memory, and Social Media [PDF]
Marcella Tambuscio, Martin Tschiggerl
openalex +1 more source

