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Mohammad Rashed Hasan Polas, Asghar Afshar Jahanshahi, Ahmed Imran Kabir, Abu Saleh Md. Sohel-Uz-Zaman, Abu Rashed Osman and Ridoan Karim
This study investigates the variables affecting the adoption of blockchain technology (BT) among small and medium-sized enterprises (SMEs) with the application of artificial intelligence (AI) via the mediating lens of risk-taking behavior. As an initial ...
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Nefeli Dourou, Valeria Bruschi, Susanna Spinsante and Stefania Cecchi
Using equalization to improve sound listening experience is a well-established topic among the audio society. Finding a general equalization curve is a difficult task because of spectral content influenced by the reproduction system (loudspeakers and roo...
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Song Xin, Ziyi Wang, Huifeng Su, Liuhong Shang, Kun Meng, Xiang Wang, Zhiyong Zhou, Zhongxiao Zhao and Pengfei Zhang
In order to study the safety state of the structure of a cross-sea cable-stayed bridge during its operation period, this paper proposes a combined long-term traffic prediction model based on the XGBoost (eXtreme Gradient Boosting) model and LSTM (Long Sh...
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Femke M. Janssen, Katja K. H. Aben, Berdine L. Heesterman, Quirinus J. M. Voorham, Paul A. Seegers and Arturo Moncada-Torres
Machine learning (ML) models have proven to be an attractive alternative to traditional statistical methods in oncology. However, they are often regarded as black boxes, hindering their adoption for answering real-life clinical questions. In this paper, ...
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Do-Hyun Lee, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim and Tae-Young Heo
Odor is a very serious problem worldwide. Thus, odor prediction research has been conducted consistently to help prevent odor. Odor substances that are complex odors are known, but complex odors and odor substances do not have a linear dependence. In add...
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