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Rong Wang, Yonghui Zhang and Yulu Zhang
The absorption and scattering of light in water usually result in the degradation of underwater image quality, such as color distortion and low contrast. Additionally, the performance of acquisition devices may limit the spatial resolution of underwater ...
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Paolo Bocciarelli, Andrea D?Ambrogio and Tommaso Panetti
IoT-aware Business Processes (BPs) that exchange data with Internet of Things (IoT) devices, briefly referred to as IoT-aware BPs, are gaining momentum in the BPM field. Introducing IoT technologies from the early stages of the BP development process req...
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Shaomei Li, Guangzhi Yin, Jingzhen Ma, Bowei Wen and Zhao Zhou
Relief shading is the primary method for effectively representing three-dimensional terrain on a two-dimensional plane. Despite its expressiveness, manual relief shading is difficult and time-consuming. In contrast, although analytical relief shading is ...
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Yange Li, Han Wei, Zheng Han, Nan Jiang, Weidong Wang and Jianling Huang
Onsite systematic monitoring benefits hazard prevention immensely. Hazard identification is usually limited due to the semantic gap. Previous studies that integrate computer vision and ontology can address the semantic gap and detect the onsite hazards. ...
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Marcelo Rodrigues Barbosa Júnior, Danilo Tedesco, Vinicius dos Santos Carreira, Antonio Alves Pinto, Bruno Rafael de Almeida Moreira, Luciano Shozo Shiratsuchi, Cristiano Zerbato and Rouverson Pereira da Silva
Remote sensing can provide useful imagery data to monitor sugarcane in the field, whether for precision management or high-throughput phenotyping (HTP). However, research and technological development into aerial remote sensing for distinguishing cultiva...
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Ghada El-khawaga, Mervat Abu-Elkheir and Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining use cases as a value-adding task. PPM provides useful predictions on the future of the running business processes with respect to different perspectives, such as the upcoming act...
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Peng Zhai, Jingsha He and Nafei Zhu
The integration of information systems and physical systems is the development trend of today?s manufacturing industry. Intelligent manufacturing is a new model of manufacturing, based on advanced manufacturing technology with human?machine?material coll...
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Dominik Ziemke, Nico Kuehnel, Carlos Llorca, Rolf Moeckel, Kai Nagel
Pág. 497 - 526
Integrated land-use transport models are often accused of being too complex, too coarse or too slow. We tightly couple the microscopic land use model SILO (Simple Integrated Land Use Orchestrator) with the agent-based transport simulation model MATSim (M...
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Noé Tits, Kevin El Haddad and Thierry Dutoit
In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks read by a female speaker containing a great variability in styles and expr...
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Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Marina de la Cruz, César Luis Alonso and Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) explanations of systems built on machin...
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