On the public citation graph

Automatic Malaria Detection Technique Using ANN Classifiers

https://doi.org/10.2139/ssrn.3132980
0 signed · 13 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11263-013-0654-8openalex-extracted
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction
inferredcites →https://doi.org/10.1016/j.patcog.2005.11.014openalex-extracted
A rule-based approach for robust clump splitting
inferredcites →https://doi.org/10.1109/icarcv.2006.345381openalex-extracted
Estimating Malaria Parasitaemia from Blood Smear Images
inferredcites →https://doi.org/10.1109/iccca.2012.6179129openalex-extracted
Identify malaria parasite using pattern recognition technique
inferredcites →https://doi.org/10.1109/icmc.2014.7231926openalex-extracted
An automatic and cost-effective parasitemia identification framework for low-end microscopy imaging devices
inferredcites →https://doi.org/10.1109/icpr.2000.903579openalex-extracted
Automatic thresholding of infected blood images using granulometry and regional extrema
inferredcites →https://doi.org/10.1109/jphot.2012.2210199openalex-extracted
Automatic Identification of Malaria-Infected RBC With Digital Holographic Microscopy Using Correlation Algorithms
inferredcites →https://doi.org/10.1109/tip.2010.2080278openalex-extracted
Variational Bayesian Super Resolution
inferredcites →https://doi.org/10.1109/tit.1962.1057692openalex-extracted
Visual pattern recognition by moment invariants
inferredcites →https://doi.org/10.15623/ijret.2013.0201001openalex-extracted
FIXED POINT AND WEAK COMMUTING MAPPING

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.puhe.2026.106367openalex-snapshot
Geospatial and machine learning approaches for malaria risk mapping in flood-prone districts: Implications for public health decision-making
inferred← citeshttps://doi.org/10.1063/5.0262905openalex-snapshot
An automated water recirculation in smart IOT–Driven data analytics for aquaculture: A survey
inferred← citeshttps://doi.org/10.35940/ijeat.c6002.049420openalex-snapshot
Plasmodium Detection using Machine Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.