Artificial Intelligence in 5G Technology: A Survey. - Manuel Eugenio Morocho Cayamcela; Wansu Lim (ICTC, 2018)

An artificially structured step-index metasurface for 10GHz leaky waveguides and antennas. - Manuel Eugenio Morocho Cayamcela; Stephen Ryan Angsanto; Wansu Lim; Angela Caliwag (WF-IoT, 2018)

Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time. - Manuel Eugenio Morocho Cayamcela; Wansu Lim (ICNC, 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)

Learning to Communicate with Autoencoders: Rethinking Wireless Systems with Deep Learning. - Manuel Eugenio Morocho Cayamcela; Judith Nkechinyere Njoku; Jeonghun Park; Wansu Lim (ICAIIC, 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)

Accelerating wireless channel autoencoders for short coherence-time communications. - Manuel Eugenio Morocho Cayamcela; Wansu Lim (J. Commun. Networks, 2020)

Breaking Wireless Propagation Environmental Uncertainty With Deep Learning. - Manuel Eugenio Morocho Cayamcela; Martin Maier 001; Wansu Lim (IEEE Trans. Wirel. Commun., 2020)

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 (SIMBig, 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)

BLER performance evaluation of an enhanced channel autoencoder. - Judith Nkechinyere Njoku; Manuel Eugenio Morocho Cayamcela; Wansu Lim (Comput. Commun., 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)

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)

Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks. - Roberto Castro; Israel Pineda; Wansu Lim; Manuel Eugenio Morocho Cayamcela (IEEE Access, 2022)

An optimal location strategy for multiple drone base stations in massive MIMO. - Manuel Eugenio Morocho Cayamcela; Wansu Lim; Martin Maier 001 (ICT Express, 2022)

Predicting target data rates for dynamic spectrum allocation using Gaussian process regression. - Judith Nkechinyere Njoku; Manuel Eugenio Morocho Cayamcela; Angela Caliwag; Pei Xiao 001; Wansu Lim (ICT Express, 2022)

Transfer Learning CNN American Sign Language. - Manuel Eugenio Morocho Cayamcela (IEEE DataPort, 2022)

Deep Reinforcement Learning for Efficient Digital Pap Smear Analysis. - Carlos Julio Macancela Bojorque; Manuel Eugenio Morocho Cayamcela; Oscar Chang (Comput., 2023)

Integrating a LLaMa-based Chatbot with Augmented Retrieval Generation as a Complementary Educational Tool for High School and College Students. - Darío S. Cabezas; Rigoberto Fonseca-Delgado; Iván Reyes-Chacón; Paulina Vizcaino-Imacaña; Manuel Eugenio Morocho Cayamcela (ICSOFT, 2024)

A Webcam Artificial Intelligence-Based Gaze-Tracking Algorithm. - Saul Figueroa; Israel Pineda; Paulina Vizcaíno; Iván Reyes-Chacón; Manuel Eugenio Morocho Cayamcela (ICSOFT, 2024)

Artificial Intelligence-Based Detection and Prediction of Giant African Snail (Lissachatina Fulica) Infestation in the Galápagos Islands. - Jonathan Loor; Ariana Jiménez; Juan David Moromenacho Aguirre; Grace Rodríguez; Iván Reyes-Chacón; Paulina Vizcaino-Imacaña; Manuel Eugenio Morocho Cayamcela (ICSOFT, 2024)

Towards Accurate Cervical Cancer Detection: Leveraging Two-Stage CNNs for Pap Smear Analysis. - Franklin Steven De la Cruz Paucar; Carlos Julio Macancela Bojorque; Iván Reyes-Chacón; Paulina Vizcaino-Imacaña; Manuel Eugenio Morocho Cayamcela (ICSOFT, 2024)

A Reinforcement Learning Congestion Control Algorithm for Smart Grid Networks. - Argenis Ronaldo Andrade-Zambrano; Juan Pablo Astudillo León; Manuel Eugenio Morocho Cayamcela; Leticia Lemus Cárdenas; Luis J. de la Cruz Llopis (IEEE Access, 2024)

A Study of ConvNeXt Architectures for Enhanced Image Captioning. - Leo Thomas Ramos; Edmundo Casas; Cristian Romero; Francklin Rivas Echeverría; Manuel Eugenio Morocho Cayamcela (IEEE Access, 2024)

Correlation Between Depression-Associated Genes and Cancer Types: Predicting Cancer Based on Mutation Frequencies. - Fernando Patricio Carranco-Avila; Clayanela Zambrano-Caicedo; Jonathan Javier Loor-Duque; Ariana Deyaneira Jiménez-Narváez; Iván Reyes-Chacón; Paulina Vizcaíno; Isidro Rafael Amaro Martín; Manuel Eugenio Morocho Cayamcela (IEEE Access, 2025)

Predictive Modeling for Fetal Health: A Comparative Study of PCA, LDA, and KPCA for Dimensionality Reduction. - Ariana Deyaneira Jiménez-Narváez; Victor David Casa Vaca; Jonathan Javier Loor-Duque; Isidro Rafael Amaro Martín; Iván Reyes-Chacón; Paulina Vizcaíno; Manuel Eugenio Morocho Cayamcela (IEEE Access, 2025)

Continual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing. - Oscar Chang; Leo Thomas Ramos; Manuel Eugenio Morocho Cayamcela; Rolando Armas; Luis Zhinin-Vera (Multim. Tools Appl., 2025)