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Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea...
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Ugur Akis and Serkan Dislitas
In applications reliant on image processing, the management of lighting holds significance for both precise object detection and efficient energy utilization. Conventionally, lighting control involves manual switching, timed activation or automated adjus...
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Swagat Bhattacharyya and Jennifer O. Hasler
While wireless sensor node (WSNs) have proliferated with the rise of the Internet of Things (IoT), uniformly sampled analog?digital converters (ADCs) have traditionally reigned paramount in the signal processing pipeline. The large volume of data generat...
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Pengyu Wei, Chuntong Li, Ze Jiang and Deyu Wang
Digital twins, an innovative technology propelled by data and models, play a seminal role in the digital transformation and intelligent upgrade of ships. This study introduces a digital twin methodology for the real-time monitoring of ship structure defo...
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Martin Hauer, Sascha Hammes, Philipp Zech, David Geisler-Moroder, Daniel Plörer, Josef Miller, Vincent van Karsbergen and Rainer Pfluger
In the architecture, engineering, and construction industries, the integration of Building Information Modeling (BIM) has become instrumental in shaping the design and commissioning of smart buildings. At the center of this development is the pursuit of ...
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Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
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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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Marek Kciuk, Zygmunt Kowalik, Grazia Lo Sciuto, Sebastian Slawski and Stefano Mastrostefano
The promising research on flexible and tactile sensors requires conducting polymer materials and an accurate system for the transduction of pressure into electrical signals. In this paper, the intelligent sensitive mat, based on Velostat, which is a poly...
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Xiaoyan Guan, Ying Tang, Baojiang Dong, Guochao Li, Yanling Fu and Chongshun Tian
As the main components of mechanical products and important transmission components of mechanical motion, shaft workpieces (SW) need to undergo high-speed motion while also withstanding high torque motion, which has high processing requirements. At the s...
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Sanguk Park
This study aims to enable cost-effective Internet of Things (IoT) system design by removing redundant IoT sensors through the correlation analysis of sensing data collected in a smart home environment. This study also presents a data analysis and predict...
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