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9th International Conference on Information and Communication Technology Convergence ICT Convergence Powered by Smart Intelligence Ictc 2018(1)
9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018(1)
Artificial Intelligence in Agriculture(1)
Communications in Computer and Information Science(1)
Computer Communications(1)
Área temáticas
Ciencias de la computación(4)
Física aplicada(2)
Ciencia militar(1)
Medios documentales, educativos, informativos; periodismo(1)
Área de conocimiento
Algoritmo(1)
Aprendizaje automático(1)
Aprendizaje profundo(1)
Ciencias de la computación(1)
Comunicación(1)
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ODS 9: Industria, innovación e infraestructura(4)
ODS 17: Alianzas para lograr los objetivos(3)
ODS 11: Ciudades y comunidades sostenibles(2)
ODS 8: Trabajo decente y crecimiento económico(2)
ODS 16: Paz, justicia e instituciones sólidas(1)
Origen
scopus(9)
BLER performance evaluation of an enhanced channel autoencoder
ArticleAbstract: The concept of using autoencoders (AEs) to represent wireless communication systems as an end-to-endPalabras claves:Autoencoder, Deep learning, End-to-end learning, modulation, neural network, Wireless communicationsAutores:Lim W., Manuel Eugenio Morocho-Cayamcela, Njoku J.N.Fuentes:scopusArtificial Intelligence in 5G Technology: A Survey
Conference ObjectAbstract: A fully operative and efficient 5G network cannot be complete without the inclusion of artificial inPalabras claves:5g networks, Artificial intelligence, Deep learning, IT Convergence, Machine learning, Next Generation NetworkAutores:Lim W., Manuel Eugenio Morocho-CayamcelaFuentes:scopusBreaking Wireless Propagation Environmental Uncertainty with Deep Learning
ArticleAbstract: Wireless propagation loss modeling has gained significant attention due to its critical importance iPalabras claves:Deep learning, image segmentation, Path loss, Propagation model, Wireless CommunicationAutores:Lim W., Maier M., Manuel Eugenio Morocho-CayamcelaFuentes:scopusEnd-to-End License Plate Recognition System for an Efficient Deployment in Surveillance Scenarios
Conference ObjectAbstract: The automatic recognition of license plates has been a widely research area, in special for surveillPalabras claves:Artificial intelligence, Computer Vision, Deep learning, License plate recognition, Surveillance videoAutores:Diego Hernán Suntaxi Dominguez, Diego Suntaxi-Dominguez, Manuel Eugenio Morocho-Cayamcela, Samantha Carolina Quintanchala SandovalFuentes:scopusAn efficient strawberry segmentation model based on Mask R-CNN and TensorRT
ArticleAbstract: Currently, artificial intelligence (AI), particularly computer vision (CV), has numerous applicationPalabras claves:Computer Vision, Deep learning, image segmentation, Mask R-CNN, Strawberry segmentationAutores:Anthony Crespo, Claudia Moncada, Fabricio Crespo, Manuel Eugenio Morocho-CayamcelaFuentes:scopusA Study of ConvNeXt Architectures for Enhanced Image Captioning
ArticleAbstract: This study explores the effectiveness of the ConvNeXt model, an advanced computer vision architecturPalabras claves:Artificial intelligence, Computer Vision, ConvNeXt, Deep learning, image analysis, Image captioning, image description generation, Image understanding, Natural Language processingAutores:Cristian Romero, Echeverria F.R., Edmundo Casas, Leo Ramos, Manuel Eugenio Morocho-CayamcelaFuentes:scopusMask R-CNN and YOLOv8 Comparison to Perform Tomato Maturity Recognition Task
OtherAbstract: This work explores the segmentation and detection of tomatoes in different maturity states for harvePalabras claves:Deep learning, Mask R-CNN, maturity recognition, object detection, precision agriculture, YOLOAutores:Jean Camacho, Manuel Eugenio Morocho-CayamcelaFuentes:scopusContinual learning, deep reinforcement learning, and microcircuits: a novel method for clever game playing
ArticleAbstract: Contemporary neural networks frequently encounter the challenge of catastrophic forgetting, whereinPalabras claves:Artificial intelligence, Cognitive computation, Continual learning, Deep learning, deep reinforcement learning, game-playingAutores:Leo Ramos, Luis Zhinin-Vera, Manuel Eugenio Morocho-Cayamcela, Oscar Chang, Rolando ArmasFuentes:scopusCGDNet: Efficient hybrid deep learning model for robust automatic modulation recognition
ArticleAbstract: In this letter, we introduce CGDNet, a cost-efficient hybrid neural network composed of a shallow coPalabras claves:Automatic modulation recognition, convolutional neural networks, Deep learning, gated recurrent unitAutores:Lim W., Manuel Eugenio Morocho-Cayamcela, Njoku J.N.Fuentes:scopus