activity
20142023
most citedOptimal control of anthracnose using mixed strategies

8 citations · 23 across the 12 of their papers we have counts for

collaborators

13 papers

physics.gen-ph2023

A Non-Causal Reconceptualization of Quantum Field Theory

Christopher Thron

Quantum field theory currently has a single standard mathematical characterization (the Standard Model), but no single accepted conceptual framework to interpret the mathematics. M…

q-bio.PE2023

Analysis of Control Measures for Vector-borne Diseases Using a Multistage Vector Model with Multi-Host Sub-populations

Francis G. T. Kamba, Leonard C. Eze, Jean Claude Kamgang +1

We propose and analyze an epidemiological model for vector borne diseases that integrates a multi-stage vector population and several host sub-populations which may be characterize…

q-bio.PE2021

Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19

Christopher Thron, Vianney Mbazumutima, Luis Vargas Tamayo +1

In epidemiology, the effective reproduction number is used to characterize the growth rate of an epidemic outbreak. In this paper, we investigate properties of for a mo…

eess.SP2021

Lifetime Optimization of Dense Wireless Sensor Networks Using Continuous Ring-sector Model

Arouna Ndam Njoya, Christopher Thron, Marah Nana Awa +2

Wireless sensor networks (WSNs) are becoming increasingly utilized in applications that require remote collection of data on environmental conditions. In particular dense WSNs are…

eess.SY2020

High Performance Low Complexity Multitarget Tracking Filter for a Array of Non-directional Sensors

Christopher Thron, Khoi Tran, Joseph Raquepas

This paper develops an accurate, efficient filter (called the `TT filter') for tracking multiple targets using a spatially-distributed network of amplitude sensors that estimate di…

cs.LG2020

Regional Rainfall Prediction Using Support Vector Machine Classification of Large-Scale Precipitation Maps

Eslam A. Hussein, Mehrdad Ghaziasgar, Christopher Thron

Rainfall prediction helps planners anticipate potential social and economic impacts produced by too much or too little rain. This research investigates a class-based approach to ra…