Manuel Eugenio Morocho Cayamcela

According to our database, Manuel Eugenio Morocho Cayamcela authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Study of ConvNeXt Architectures for Enhanced Image Captioning.

Leo Ramos, Edmundo Casas, Cristian Romero, Francklin Rivas Echeverría, Manuel Eugenio Morocho Cayamcela

IEEE Access, 2024

2023

Deep Reinforcement Learning for Efficient Digital Pap Smear Analysis.

Carlos Macancela, Manuel Eugenio Morocho Cayamcela, Oscar Chang

Comput., December, 2023

2022

Transfer Learning CNN American Sign Language.

Manuel Eugenio Morocho Cayamcela

Dataset, May, 2022

Predicting target data rates for dynamic spectrum allocation using Gaussian process regression.

Judith Nkechinyere Njoku, Manuel Eugenio Morocho Cayamcela, Angela Caliwag, Pei Xiao, Wansu Lim

ICT Express, 2022

An optimal location strategy for multiple drone base stations in massive MIMO.

Manuel Eugenio Morocho Cayamcela, Wansu Lim, Martin Maier

ICT Express, 2022

Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks.

Roberto Castro, Israel Pineda, Wansu Lim, Manuel Eugenio Morocho Cayamcela

IEEE Access, 2022

2021

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities.

Paul D. Rosero-Montalvo, Edison A. Fuentes-Hernández, Manuel Eugenio Morocho Cayamcela, Luz Marina Sierra Martínez, Diego Hernán Peluffo-Ordóñez

Sensors, 2021

CGDNet: Efficient Hybrid Deep Learning Model for Robust Automatic Modulation Recognition.

Judith Nkechinyere Njoku, Manuel Eugenio Morocho Cayamcela, Wansu Lim

IEEE Netw. Lett., 2021

BLER performance evaluation of an enhanced channel autoencoder.

Judith Nkechinyere Njoku, Manuel Eugenio Morocho Cayamcela, Wansu Lim

Comput. Commun., 2021

Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture.

Manuel Eugenio Morocho Cayamcela, Wansu Lim

Appl. Artif. Intell., 2021

Plant Disease Classification and Severity Estimation: A Comparative Study of Multitask Convolutional Neural Networks and First Order Optimizers.

Valeria Lucero, Sherald Noboa, Manuel Eugenio Morocho Cayamcela

Proceedings of the Information Management and Big Data, 2021

2020

Breaking Wireless Propagation Environmental Uncertainty With Deep Learning.

Manuel Eugenio Morocho Cayamcela, Martin Maier, Wansu Lim

IEEE Trans. Wirel. Commun., 2020

Accelerating wireless channel autoencoders for short coherence-time communications.

Manuel Eugenio Morocho Cayamcela, Wansu Lim

J. Commun. Networks, 2020

Machine Learning to Improve Multi-Hop Searching and Extended Wireless Reachability in V2X.

Manuel Eugenio Morocho Cayamcela, Haeyoung Lee, Wansu Lim

IEEE Commun. Lett., 2020

Learning to Communicate with Autoencoders: Rethinking Wireless Systems with Deep Learning.

Manuel Eugenio Morocho Cayamcela, Judith Nkechinyere Njoku, Jeonghun Park, Wansu Lim

Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019

Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions.

Manuel Eugenio Morocho Cayamcela, Haeyoung Lee, Wansu Lim

IEEE Access, 2019

Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time.

Manuel Eugenio Morocho Cayamcela, Wansu Lim

Proceedings of the International Conference on Computing, Networking and Communications, 2019

2018

An artificially structured step-index metasurface for 10GHz leaky waveguides and antennas.

Manuel Eugenio Morocho Cayamcela, Stephen Ryan Angsanto, Wansu Lim, Angela Caliwag

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Artificial Intelligence in 5G Technology: A Survey.

Manuel Eugenio Morocho Cayamcela, Wansu Lim

Proceedings of the International Conference on Information and Communication Technology Convergence, 2018