Listar vol. 9, nº 4, september 2025 por título
Mostrando ítems 1-4 de 4
-
An Adaptive Salp-Stochastic-Gradient-Descent-Based Convolutional LSTM With MapReduce Framework for the Prediction of Rainfall
(UNIR, 01/09/2025)Rainfall prediction is considered to be an esteemed research area that impacts the day-to-day life of Indians. The predominant income source of most of the Indian population is agriculture. It helps the farmers to make the ... -
Editor’s Note
(UNIR, 01/09/2025)Artificial Intelligence (AI) is a scientific discipline that aims to drive disruptive scenarios for science-based technical developments that solve complex problems. The IJIMAI journal’s scope is precisely to demonstrate ... -
Measuring the Difference Between Pictures From Controlled and Uncontrolled Sources to Promote a Destination. A Deep Learning Approach
(UNIR, 01/09/2025)Promoting a destination is a major task for Destination Marketing Organizations (DMOs). Although DMOs control, to some extent, the information presented to travelers (controlled sources), there are other different sources ... -
Performance and Communication Cost of Deep Neural Networks in Federated Learning Environments: An Empirical Study
(UNIR, 01/09/2025)Federated learning, a distributive cooperative learning approach, allows clients to train the model locally using their data and share the trained model with a central server. When developing a federated learning environment, ...
