Fusing Diverse Data for in-Depth African Vulture Behavior and Seizure Prediction Understanding

EasyChair Preprint 14138

Abstract

Understanding African vulture behavior and predicting seizures are crucial for wildlife conservation and management. This abstract delves into the significance of integrating diverse data sources to unravel the complexities of vulture behavior and enhance seizure prediction accuracy. By combining GPS tracking, environmental variables, and physiological data, researchers can gain a holistic view of vulture movements, social interactions, and potential seizure triggers. This fusion of data not only offers insights into vulture ecology but also aids in developing proactive strategies for seizure prevention. The synergy of multidimensional data sets presents a promising avenue for unraveling the intricacies of vulture behavior and advancing wildlife conservation efforts in Africa.

Keyphrases: Environmental changes, Foraging behavior, Migration patterns, food web dynamics, habitat use, social structure

@booklet{EasyChair:14138,
  author    = {Samon Daniel and Godwin Olaoye},
  title     = {Fusing Diverse Data for in-Depth African Vulture Behavior and Seizure Prediction Understanding},
  howpublished = {EasyChair Preprint 14138},
  year      = {EasyChair, 2024}}