Stavros Kalafatis

A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations

Sambandh Bhusan Dhal, U. Braga-Neto, M. Bagavathiannan, 2022, Sensors.

Cotton crop disease detection on remotely collected aerial images with deep learning

Pappu K. Yadav, J. Thomasson, R. Hardin, 2022, Defense + Commercial Sensing.

IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework

Stavros Kalafatis, Steven Hernandez, Asad Ali, 2022, Sensors.

CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups

K. Nowka, Stavros Kalafatis, S. Dhal, 2023, SoutheastCon.

An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups

John D. Lusher, Stavros Kalafatis, S. Dhal, 2023, Italian National Conference on Sensors.

Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis

U. Braga-Neto, M. Bagavathiannan, Stavros Kalafatis, 2022, PloS one.

A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops

K. Nowka, J. Landivar, Mahendra Bhandari, 2023, 2023 57th Annual Conference on Information Sciences and Systems (CISS).

Global Software Engineering Experience through International Capstone Project Exchanges

Dean Knudson, Alex Radermacher, Carsten Kleiner, 2018, 2018 IEEE/ACM 13th International Conference on Global Software Engineering (ICGSE).