Nagueu Djambong Lionel Perin

Nagueu DjambongLionel Perin is a passionate researcher working in the exciting field of data science and Artificial Intelligence. Currently enrolled in a doctoral thesis within the prestigious computer science department at the University of Yaoundé I in Cameroon, he is engaged in an in-depth and innovative exploration on the use of geospatial climate data for the prediction of climate changes in the agricultural sector. His academic journey began with obtaining his bachelor's degree at the University of Yaoundé 1 where he quickly developed a strong interest in data science and artificial intelligence. My thirst for knowledge led me to pursue a master's program in Artificial Intelligence at this University, where I had the opportunity to further immerse myself in challenging research projects. His PhD thesis, entitled “Use of geospatial climate data for the prediction of climate change in the agricultural sector” focuses on the climate change that the majority of farmers encounter during their food production. His goal is to make a significant contribution to the understanding of climate change by developing innovative solutions to help these farmers better produce their food in order to grow not only their economies but also the state's economy. He uses methodologies based on Machine Learning and Deep Learning to deepen his investigations.

Publications

Impacts of Climate Changes on Traffic Flows Using Geospatial Data Analysis: Shifting the Traffic Flow to the Next Level
Impacts of Climate Changes on Traffic Flows Using Geospatial Data Analysis: Shifting the Traffic Flow to the Next Level
Jimbo Henri Claver, Nagueu Djambong Lionel Perin, Bouetou Thomas, Tchoua Paul. © 2024. 16 pages.
This chapter explores the complex interplay between climate change and the accuracy of traffic flow predictions, focusing on the crucial use of geospatial data analysis. The...
Deep Learning Approach to Estimate the Maize Yield Prediction Using Data From Cameroon: Shifting the Maize Yield Production to the Next Level
Deep Learning Approach to Estimate the Maize Yield Prediction Using Data From Cameroon: Shifting the Maize Yield Production to the Next Level
Jimbo Henri Claver, Nagueu Djambong Lionel Perin, Bouetou Thomas, Tchoua Paul. © 2024. 13 pages.
Corn cultivation plays a crucial role in the Cameroon's food production, providing an important source of food and income for many farmers. However, climatic variability and...