Grace Mugambi

ORCID: 0000-0003-0170-1514
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About
Contact & Profiles
Research Areas
  • Financial Distress and Bankruptcy Prediction
  • Bioinformatics and Genomic Networks
  • Neurobiology and Insect Physiology Research
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Face recognition and analysis
  • Handwritten Text Recognition Techniques
  • Olfactory and Sensory Function Studies
  • Biometric Identification and Security
  • Remote-Sensing Image Classification

Jomo Kenyatta University of Agriculture and Technology
2021-2024

Abstract Biometric systems have been used extensively in the identification and verification of persons. Fingerprint biometrics stands out as most effective due to their characteristics Permanence, uniqueness, ergonomics, throughput, low cost, lifelong usability. By reducing number comparisons, biometric recognition can effectively deal with large‐scale databases. classification is an important task reduce comparisons by dividing fingerprints into classes. Deep learning models demonstrated...

10.1002/cpe.7619 article EN Concurrency and Computation Practice and Experience 2023-01-05

High-throughput sequencing generates large volumes of biological data that must be interpreted to make meaningful inference on the function. Problems arise due number characteristics p (dimensions) describe each record [n] in database. Feature selection using a subset variables extracted from datasets is one approaches towards solving this problem.In study we analyzed transcriptome Glossina morsitans (Tsetsefly) antennae after exposure either repellant (δ-nonalactone) or an attractant...

10.7717/peerj.11691 article EN cc-by PeerJ 2021-07-01
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