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Guojie Chen and Min Lin
Lossless coding is a compression method in the Versatile Video Coding (VVC) standard, which can compress video without distortion. Lossless coding has great application prospects in fields with high requirements for video quality. Since the current VVC s...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Qi Zhang, Zhigang Cao, Chuan Gu and Yuanqiang Cai
The invasion of clay fines can change the water retention properties of base layers significantly. There is no soil?water retention curve prediction equation that is capable of considering the effects of fines. In this study, the soil?water retention cur...
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Nazmi Sofian Suhaimi, James Mountstephens and Jason Teo
Emotions are viewed as an important aspect of human interactions and conversations, and allow effective and logical decision making. Emotion recognition uses low-cost wearable electroencephalography (EEG) headsets to collect brainwave signals and interpr...
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Joohyung Byeon, Seungchul Jang, Jongseok Lee, Kyungyong Kim and Donggyu Sim
In this paper, we propose a partial decoding method with limited memory usage for high-speed thumbnail extraction. The proposed method performs a partial inverse transform and a partial intra prediction in order to reconstruct pixels for intra prediction...
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Hang Liu, Riken Homma, Qiang Liu and Congying Fang
The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land ...
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Uche Onyekpe, Vasile Palade, Stratis Kanarachos and Stavros-Richard G. Christopoulos
Recurrent Neural Networks (RNNs) are known for their ability to learn relationships within temporal sequences. Gated Recurrent Unit (GRU) networks have found use in challenging time-dependent applications such as Natural Language Processing (NLP), financ...
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Lydia Schoretsaniti, Anastasia Mitsea, Kety Karayianni and Iosif Sifakakis
The aim of this study was to investigate the reproducibility of the Cervical Vertebral Maturation (CVM) method and the potential for chronological age estimation using this method. The sample consisted of 474 lateral cephalometric radiographs, from ortho...
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Yen Hai Tran, Patrick Marchesiello, Rafael Almar, Duc Tuan Ho, Thong Nguyen, Duong Hai Thuan and Eric Barthélemy
The present study focuses on the long-term multi-year evolution of the shoreline position of the Nha Trang sandy beach. To this end an empirical model which is a combination of longshore and cross-shore models, is used. The Nha Trang beach morphology is ...
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Tomas Iesmantas, Agne Paulauskaite-Taraseviciene and Kristina Sutiene
(1) Background: The segmentation of cell nuclei is an essential task in a wide range of biomedical studies and clinical practices. The full automation of this process remains a challenge due to intra- and internuclear variations across a wide range of ti...
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