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David Naseh, Mahdi Abdollahpour and Daniele Tarchi
This paper explores the practical implementation and performance analysis of distributed learning (DL) frameworks on various client platforms, responding to the dynamic landscape of 6G technology and the pressing need for a fully connected distributed in...
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Sandro Pullo, Remo Pareschi, Valentina Piantadosi, Francesco Salzano and Roberto Carlini
Addressing the critical challenges of resource inefficiency and environmental impact in the agrifood sector, this study explores the integration of Internet of Things (IoT) technologies with IOTA?s Tangle, a Distributed Ledger Technology (DLT). This inte...
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Benedetta Stampone, Kudret Irem Deniz, Alessia Foscarini, Antonio Turco, Maria Serena Chiriacò, Francesco Ferrara, Luca Giorleo and Gianluca Trotta
Producing sustainable microfluidic devices on a large scale has become a trend in the biomedical field. However, the transition from laboratory prototyping to large-scale industrial production poses several challenges due to the gap between academia and ...
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Carolina Ribeiro, Igor Fernandes and Filipe Portela
In the age of Industry 4.0, competition between companies is becoming increasingly intense, and companies are turning to trends that aim to improve overall performance. Accordingly, the company ITEK decided to create a global gamification mechanism focus...
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Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
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Zoran Kunkera, Ivana ?eljkovic, Ratko Mimica, Boris Ljubenkov and Tihomir Opetuk
The technology of Augmented Reality is taking on an increasingly important role in the digital (and green) transformation of industry, including shipbuilding. Upgraded to the three-dimensional ship model in the form and content of a Digital Twin, (indust...
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Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
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Petri Toivanen, Pekka Janhunen, Jarmo Kivekäs and Meri Mäkelä
A new method of producing robust multi-wire tethers for Coulomb drag applications was developed. The multi-wire structure required for redundancy against the micrometeoroid flux of the space environment is realised through the method of wire twist bondin...
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Jae-Hyuk Lee, Jae-Hoon Ryu, Eun-Sung Lee, Hyung-Seok Han and Jeong-Yeol Choi
A noncircular engine cross-section could provide great flexibility in the integration of propulsion into the airframe. In this work, a tri-arc RDE was constructed and tested as an example of noncircular cross-sectioned RDE. The operational characteristic...
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Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde and Daniele Tarchi
With the advent of 6G technology, the proliferation of interconnected devices necessitates a robust, fully connected intelligence network. Federated Learning (FL) stands as a key distributed learning technique, showing promise in recent advancements. How...
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