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Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis and Carol Anne Hargreaves
Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades. The study of social networks has taken advantage of recent adva...
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Dongwei Qiu, Haorong Liang, Zhilin Wang, Yuci Tong and Shanshan Wan
Quickly and accurately identifying water leakage is one of the important components of the health monitoring of subway tunnels. A mobile vision measurement system consisting of several high-resolution, industrial, charge-coupled device (CCD) cameras is p...
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Bojan Ilijoski, Katarina Trojachanec Dineva, Biljana Tojtovska Ribarski, Petar Petrov, Teodora Mladenovska, Milena Trajanoska, Ivana Gjorshoska and Petre Lameski
A bite from a bug may expose the affected person to serious, life-threatening conditions, which may require immediate medical attention. The identification of the bug bite may be challenging even for experienced medical personnel due to the different man...
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Linkai Peng, Yingming Gao, Rian Bao, Ya Li and Jinsong Zhang
As an indispensable module of computer-aided pronunciation training (CAPT) systems, mispronunciation detection and diagnosis (MDD) techniques have attracted a lot of attention from academia and industry over the past decade. To train robust MDD models, t...
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Xi Lyu, Yushan Sun, Lifeng Wang, Jiehui Tan and Liwen Zhang
This study aims to solve the problems of sparse reward, single policy, and poor environmental adaptability in the local motion planning task of autonomous underwater vehicles (AUVs). We propose a two-layer deep deterministic policy gradient algorithm-bas...
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Shiyu Zhang, Jianguo Kong, Chao Chen, Yabin Li and Haijun Liang
The rise of end-to-end (E2E) speech recognition technology in recent years has overturned the design pattern of cascading multiple subtasks in classical speech recognition and achieved direct mapping of speech input signals to text labels. In this study,...
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Zhigang Zhu, Zhijian Yi, Shiyao Li and Lin Li
Radar data mining is the key module for signal analysis, where patterns hidden inside of signals are gradually available in the learning process and its superiority is significant for enhancing the security of the radar emitter classification (REC) syste...
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Serdar Kizilkaya, Ugur Alganci and Elif Sertel
The classification of maritime boats and ship targets using optical satellite imagery is a challenging subject. This research introduces a unique and rich ship dataset named Very High-Resolution Ships (VHRShips) from Google Earth images, which includes d...
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Yue Sun, Sandor Brockhauser and Péter Hegedus
In scientific research, spectroscopy and diffraction experimental techniques are widely used and produce huge amounts of spectral data. Learning patterns from spectra is critical during these experiments. This provides immediate feedback on the actual st...
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Sahar Ujan, Neda Navidi and Rene Jr Landry
Radio Frequency Interference (RFI) detection and characterization play a critical role in ensuring the security of all wireless communication networks. Advances in Machine Learning (ML) have led to the deployment of many robust techniques dealing with va...
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Birhanu Belay, Tewodros Habtegebrial, Million Meshesha, Marcus Liwicki, Gebeyehu Belay and Didier Stricker
In this paper, we introduce an end-to-end Amharic text-line image recognition approach based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows a unique syllabic writing system adopted from an ancient Geez script. This s...
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Luis A. Curiel-Ramirez, Ricardo A. Ramirez-Mendoza, Rolando Bautista-Montesano, M. Rogelio Bustamante-Bello, Hugo G. Gonzalez-Hernandez, Jorge A. Reyes-Avedaño and Edgar Cortes Gallardo-Medina
Autonomous Vehicles (AVs) have caught people?s attention in recent years, not only from an academic or developmental viewpoint but also because of the wide range of applications that these vehicles may entail, such as intelligent mobility and logistics, ...
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André Ferreira Cruz, Gil Rocha and Henrique Lopes Cardoso
The task of coreference resolution has attracted considerable attention in the literature due to its importance in deep language understanding and its potential as a subtask in a variety of complex natural language processing problems. In this study, we ...
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Yifan Liu and Jin Zheng
Text-to-speech synthesis is a computational technique for producing synthetic, human-like speech by a computer. In recent years, speech synthesis techniques have developed, and have been employed in many applications, such as automatic translation applic...
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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
A new random forest-based model for solving the Multiple Instance Learning problem under small tabular data, called the Soft Tree Ensemble Multiple Instance Learning, is proposed. A new type of soft decision trees is considered, which is similar to the w...
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Pengyu Zhang, Jie Zhang and Jiangming Kan
The continuous path of a manipulator is often discretized into a series of independent action poses during path tracking, and the inverse kinematic solution of the manipulator?s poses is computationally challenging and yields inconsistent results. This r...
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Jin Xie, Zhiyong Huo, Xianru Liu and Zhishun Wang
For attention deficit hyperactivity disorder (ADHD), a common neurological disease, accurate identification is the basis for treatment. In this paper, a novel end-to-end representation learning framework for ADHD classification of functional magnetic res...
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Nicola Landro, Ignazio Gallo and Riccardo La Grassa
Nowadays, the transfer learning technique can be successfully applied in the deep learning field through techniques that fine-tune the CNN?s starting point so it may learn over a huge dataset such as ImageNet and continue to learn on a fixed dataset to a...
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Weigui Li, Wenyu Sun, Yadong Zhao, Zhuqing Yuan and Yongpan Liu
An end-to-end image compression framework based on deep residual learning is proposed. Three levels of residual learning are adopted to improve the compression quality: (1) the ResNet structure; (2) the deep channel residual learning for quantization; an...
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Jeonghoon Kwak and Yunsick Sung
Micro unmanned aircraft systems (micro UAS)-related technical research is important because micro UAS has the advantage of being able to perform missions remotely. When an omnidirectional camera is mounted, it captures all surrounding areas of the micro ...
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