Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in the absence of a gold standard. [PDF]
Ozanne MV +5 more
europepmc +1 more source
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
Evaluating diagnostic accuracies of Panbio™ test and RT-PCR for the detection of SARS-CoV-2 in Addis Ababa, Ethiopia using Bayesian Latent-Class Models (BLCM). [PDF]
Sisay A +5 more
europepmc +1 more source
Class Proportions and Class-Specific Probabilities from Seven-Latent-Class Model of Chronic Conditions.
Charlotte Glümer (3617507) +4 more
core +1 more source
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Defining risky sexual behaviour in the UK: a latent class approach
This paper aims to define risky sexual behaviour in the UK with respect to the two most common bacterial sexually transmitted diseases: chlamydia and gonorrhoea.
Hinde, Andrew, Sonkin, Beth
core +1 more source
Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests. [PDF]
Hartnack S, Eusebi P, Kostoulas P.
europepmc +1 more source
A Latent Budget Analysis Approach to Classification: Examples from Economics [PDF]
Latent budget analysis is a classification technique that allows clustering identification by using compositional data. This paper presents examples of how this technique deals with the unit-sum constraint by establishing an initial independence model to
Larrosa, Juan MC
core
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Bayesian latent class models to determine diagnostic sensitivities and specificities of two point of care rapid tests (Selma plus, Dipslide) for the detection of Streptococcus uberis associated with mastitis in dairy cows. [PDF]
Rediger D +4 more
europepmc +1 more source

