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Junnan Zhou and Tomohiro Tabata
After nearly a decade of rapid development, woody biomass has been widely used in Japan for power generation and heating. However, it has faced bottlenecks in recent years, leading to a decline in its popularity. This study aimed to elucidate the current...
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Adel Belkhiri and Michel Dagenais
The graphics processing unit (GPU) plays a crucial role in boosting application performance and enhancing computational tasks. Thanks to its parallel architecture and energy efficiency, the GPU has become essential in many computing scenarios. On the oth...
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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Yi Yang, Guankang Zhang, Shutao Ma, Zaihua Wang, Houcheng Liu and Song Gu
The accurate detection and counting of flowers ensure the grading quality of the ornamental plants. In automated potted flower grading scenarios, low detection precision, occlusions and overlaps impact counting accuracy. This study proposed a counting me...
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Vladimir Korkhov, Ivan Gankevich, Anton Gavrikov, Maria Mingazova, Ivan Petriakov, Dmitrii Tereshchenko, Artem Shatalin and Vitaly Slobodskoy
Bottlenecks and imbalance in parallel programs can significantly affect performance of parallel execution. Finding these bottlenecks is a key issue in performance analysis of MPI programs especially on a large scale. One of the ways to discover bottlenec...
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Daniel Laurentino de Jesus Xavier, João Gilberto Mendes dos Reis, André Henrique Ivale, Aparecido Carlos Duarte, Gabriel Santos Rodrigues, Jonatas Santos de Souza and Paula Ferreira da Cruz Correia
Agribusiness trade is a complex network of commercial relations among countries, and it is influenced by on-shore and off-shore logistics. Therefore, it is essential to comprehend these relationships to improve decision-making regarding production and lo...
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Antonios Saravanos and Matthew X. Curinga
This study employs a simulation-based approach, adapting the waterfall model, to provide estimates for software project and individual phase completion times. Additionally, it pinpoints potential efficiency issues stemming from suboptimal resource levels...
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András Wippelhauser, Tamás Attila Tomaschek, Máté Verdes and László Bokor
The primary objective of introducing the proposed tools and methodology is to enable the accurate and comprehensive simulation of ITS-G5 radio channel load, thereby advancing the field of C-ITS network design and deployment. By leveraging these resources...
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Dimitris Mourtzis and Nikos Balkamos
In the era of digital transformation, industry is facing multiple challenges due to the need for implementation of the Industry 4.0 standards, as well as the volatility of customer demands. The latter has created the need for the design and operation of ...
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Liangkun Yu, Xiang Sun, Rana Albelaihi and Chen Yi
Federated learning (FL) is a collaborative machine-learning (ML) framework particularly suited for ML models requiring numerous training samples, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Random Forest, in the co...
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