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Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang
Efficient yet sufficient exploration remains a critical challenge in reinforcement learning (RL), especially for Markov Decision Processes (MDPs) with vast action spaces. Previous approaches have commonly involved projecting the original action space int...
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Jesús Dassaef López-Barrios, Jesús Arturo Escobedo Cabello, Alfonso Gómez-Espinosa and Luis-Enrique Montoya-Cavero
In this paper, a mask region-based convolutional neural network (Mask R-CNN) is used to improve the performance of machine vision in the challenging task of detecting peduncles and fruits of green sweet peppers (Capsicum annuum L.) in greenhouses. One of...
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Xi Chen, Lei Dong, Hong-Chang Li, Xin-Peng Yao, Peng Wang and Shuang Yao
Defects and errors in code are different in that they are not detected by editors or compilers but pose a potential risk to software operation. For safety-critical software such as airborne software, the code review process is necessary to ensure the pro...
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Luisa F. Sánchez-Peralta, J. Blas Pagador, Artzai Picón, Ángel José Calderón, Francisco Polo, Nagore Andraka, Roberto Bilbao, Ben Glover, Cristina L. Saratxaga and Francisco M. Sánchez-Margallo
This dataset can be used for supervised training of models for colorectal polyp detection, localisation, segmentation and classification.
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Chengquan Zhou, Hongbao Ye, Zhifu Xu, Jun Hu, Xiaoyan Shi, Shan Hua, Jibo Yue and Guijun Yang
Leaf coverage is an indicator of plant growth rate and predicted yield, and thus it is crucial to plant-breeding research. Robust image segmentation of leaf coverage from remote-sensing images acquired by unmanned aerial vehicles (UAVs) in varying enviro...
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Gustavo Fernandes Rodrigues,Thiago de Souza Siqueira,Ana Cláudia Silva de Souza,Hani Camille Yehia
Pág. 80 - 85
In this paper we present an insight into the use of spectral masking techniques in time-frequency domain, as a preprocessing step for the speech signal recognition. Speech recognition systems have their performance negatively affected in noisy environmen...
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