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Moreno La Quatra and Luca Cagliero
The emergence of attention-based architectures has led to significant improvements in the performance of neural sequence-to-sequence models for text summarization. Although these models have proved to be effective in summarizing English-written documents...
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Mohammad Masum Billah, Jing Zhang and Tianchi Zhang
Data-driven technologies and automated identification systems (AISs) provide unprecedented opportunities for maritime surveillance. As part of enhancing maritime situational awareness and safety, in this paper, we address the issue of predicting a ship?s...
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Sang-Ki Ko, Chang Jo Kim, Hyedong Jung and Choongsang Cho
We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive dataset to train deep neural network models. The situation is even worse when it comes...
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Georgios Venitourakis, Christoforos Vasilakis, Alexandros Tsagkaropoulos, Tzouma Amrou, Georgios Konstantoulakis, Panagiotis Golemis and Dionysios Reisis
Aiming at effectively improving photovoltaic (PV) park operation and the stability of the electricity grid, the current paper addresses the design and development of a novel system achieving the short-term irradiance forecasting for the PV park area, whi...
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Kostadin Mishev, Aleksandra Karovska Ristovska, Dimitar Trajanov, Tome Eftimov and Monika Simjanoska
This paper presents MAKEDONKA, the first open-source Macedonian language synthesizer that is based on the Deep Learning approach. The paper provides an overview of the numerous attempts to achieve a human-like reproducible speech, which has unfortunately...
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Hao Cheng, Stefania Zourlidou and Monika Sester
Accurate information of traffic regulators at junctions is important for navigating and driving in cities. However, such information is often missing, incomplete or not up-to-date in digital maps due to the high cost, e.g., time and money, for data acqui...
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Nurgali Kadyrbek, Madina Mansurova, Adai Shomanov and Gaukhar Makharova
This study is devoted to the transcription of human speech in the Kazakh language in dynamically changing conditions. It discusses key aspects related to the phonetic structure of the Kazakh language, technical considerations in collecting the transcribe...
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Zhijing Ye, Zheng O?Neill and Fei Hu
Heating, ventilation, and air conditioning (HVAC) is the largest source of residential energy consumption. Occupancy sensors? data can be used for HVAC control since it indicates the number of people in the building. HVAC and sensors form a typical cyber...
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Man-Ni Chu and Yu-Chun Wang
The goal of this study was to compare model-generated sounds with the process of sound acquisition in humans. The research utilized two dictionaries of the Chaoshan dialect spanning approximately one century. Identical Chinese characters were selected fr...
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Chunyao Qian, Chao Yi, Chengqi Cheng, Guoliang Pu and Jiashu Liu
Address geolocation aims to associate address texts to the geographic locations. In China, due to the increasing demand for LBS applications such as take-out services and express delivery, automatically geolocating the unstructured address information is...
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Francesco Salmaso, Mirko Trisolini and Camilla Colombo
The continuously growing number of objects orbiting around the Earth is expected to be accompanied by an increasing frequency of objects re-entering the Earth?s atmosphere. Many of these re-entries will be uncontrolled, making their prediction challengin...
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Yerim Han and Woohyun Kim
In this paper, a building control algorithm is proposed to reduce the electricity consumption of a building with a variable refrigerant flow (VRF) system. The algorithm uses sequence-to-sequence long short-term memory (seq2seq LSTM) to set target electri...
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Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning...
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Giovanni Bonetta, Marco Roberti, Rossella Cancelliere and Patrick Gallinari
In this paper, we analyze the problem of generating fluent English utterances from tabular data, focusing on the development of a sequence-to-sequence neural model which shows two major features: the ability to read and generate character-wise, and the a...
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Kun Fan, Chungin Joung and Seungjun Baek
Video prediction which maps a sequence of past video frames into realistic future video frames is a challenging task because it is difficult to generate realistic frames and model the coherent relationship between consecutive video frames. In this paper,...
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Benjamin Plaster and Gautam Kumar
Modeling brain dynamics to better understand and control complex behaviors underlying various cognitive brain functions have been of interest to engineers, mathematicians and physicists over the last several decades. With the motivation of developing com...
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