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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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Cesar Casiano Flores and Joep Crompvoets
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Tibor Szkaliczki
eHealth services require continuous data streaming and a stable level of quality of service. However, wireless network connections can be characterized by variable bandwidths. This requires continuous adaptation of systems, including adapting the bit rat...
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Jaekyung Kim, Jungwoo Huh, Ingu Park, Junhyeong Bak, Donggeon Kim and Sanghoon Lee
Deep learning-based object detection is one of the most popular research topics. However, in cases where large-scale datasets are unavailable, the training of detection models remains challenging due to the data-driven characteristics of deep learning. S...
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Wenxiang Zhou, Sangwei Lu, Jinquan Huang, Muxuan Pan and Zhongguang Chen
Accurate component maps, which can significantly affect the efficiency, reliability and availability of aero-engines, play a critical role in aero-engine performance simulation. Unfortunately, the information of component maps is insufficient, leading to...
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Zhen Liu, Zhilong Zhang, Cuiying Zhou, Weihua Ming and Zichun Du
The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of ?smart? or ?intelligent? geology, classical inverse-distance weighting interpolation cannot meet th...
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Hugo Lopes, Ivan Miguel Pires, Hector Sánchez San Blas, Raúl García-Ovejero and Valderi Leithardt
The mobile devices cause a constant struggle for the pursuit of data privacy. Nowadays, it appears that the number of mobile devices in the world is increasing. With this increase and technological evolution, thousands of data associated with everyone ar...
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Bilel Benjdira, Adel Ammar, Anis Koubaa and Kais Ouni
Despite the significant advances noted in semantic segmentation of aerial imagery, a considerable limitation is blocking its adoption in real cases. If we test a segmentation model on a new area that is not included in its initial training set, accuracy ...
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Cesar Casiano Flores and Joep Crompvoets
Climate change has increased pluvial flood risks in cities around the world. To mitigate floods, pluvial risk maps with climate change scenarios have been developed to help major urban areas adapt to a changing climate. In some cases, subnational governm...
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Krzysztof K. Cwalina, Slawomir J. Ambroziak, Piotr Rajchowski, Jaroslaw Sadowski and Jacek Stefanski
In the article, a novel bitrate adaptation method for data streams allocation in heterogeneous Wireless Body Area Networks (WBANs) is presented. The efficiency of the proposed algorithm was compared with other known algorithms of data stream allocation u...
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Kelley Sterle and Loretta Singletary
In snow-fed inland river systems in the western United States, water supply depends upon timing, form, and amount of precipitation. In recent years, this region has experienced unprecedented drought conditions due to decreased snowpack, exacerbated by ex...
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Kelley Sterle, Loretta Singletary
Pág. 1 - 24
In snow-fed inland river systems in the western United States, water supply depends upon timing, form, and amount of precipitation. In recent years, this region has experienced unprecedented drought conditions due to decreased snowpack, exacerbated by ex...
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V. I. Shynkarenko,H. V. Zabula
Pág. 109 - 121
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V. I. Shynkarenko,H. V. Zabula
Pág. 88 - 97
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Albert Weichselbraun, Philipp Kuntschik, Vincenzo Francolino, Mirco Saner, Urs Dahinden and Vinzenz Wyss
Recent developments in the fields of computer science, such as advances in the areas of big data, knowledge extraction, and deep learning, have triggered the application of data-driven research methods to disciplines such as the social sciences and human...
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Taki Hasan Rafi and Young-Woong Ko
Electrocardiography (ECG)-based arrhythmia classification intends to have a massive role in cardiovascular disease monitoring and early diagnosis. However, ECG datasets are mostly imbalanced and have regularization to use real-time patient data due to pr...
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Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini and Francesco Lo Presti
The capability of efficiently processing the data streams emitted by nowadays ubiquitous sensing devices enables the development of new intelligent services. Data Stream Processing (DSP) applications allow for processing huge volumes of data in near real...
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Ottfried Dietrich, Susanne Schweigert, Jörg Steidl and Gunnar Lischeid
This paper presents the development of a wetland water balance model for use in a large river basin with many different wetlands. The basic model was primarily developed for a single wetland with a complex water management system involving large amounts ...
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Ottfried Dietrich, Susanne Schweigert, Jörg Steidl, Gunnar Lischeid
Pág. 1 - 19
This paper presents the development of a wetland water balance model for use in a large river basin with many different wetlands. The basic model was primarily developed for a single wetland with a complex water management system involving large amounts ...
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Lixin Wang, Rong Zhao and Yi Zhang
Current aerodynamic parameter identification methods take the consistency between the response of the motion model reconstructed with the identified aerodynamic parameters and flight data as an optimization index. Since there is only one index constraint...
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