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Yiming Chen and Shuang Liang
In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students? mastery of essential skills necessary to answer questions correctly. Ho...
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Riccardo Camilli, Alessandro Mechelli, Alessandra Stefanoni and Fabrizio Rossi
To date, the studies on managerial loss aversion have produced contradictory findings, making it impossible to: (i) identify the ultimate impact of managerial loss aversion on the value that organisations create for themselves and for their stakeholders,...
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Meng-Leong How and Sin-Mei Cheah
The fusion of quantum computing and artificial intelligence (AI) heralds a transformative era for Industry 4.0, offering unprecedented capabilities and challenges. This paper delves into the intricacies of quantum AI, its potential impact on Industry 4.0...
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Liushuai Cao, Yanyan Pan, Gang Gao, Linjie Li and Decheng Wan
Wakes produced by underwater vehicles, particularly submarines, in density-stratified fluids play a pivotal role across military, academic, and engineering domains. In comparison to homogeneous fluid environments, wakes in stratified flows exhibit distin...
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R. Gayathri, Jen-Yi Chang, Chia-Cheng Tsai and Tai-Wen Hsu
An oscillating water column (OWC) is designed for the extraction and conversion of wave energy into usable electrical power, rather than being a standalone renewable energy source. This review paper presents a comprehensive analysis of the mathematical m...
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Wenhao Li, Xianxia Zhang, Yueying Wang and Songbo Xie
Model predictive control (MPC), an extensively developed rolling optimization control method, is widely utilized in the industrial field. While some researchers have incorporated predictive control into underactuated unmanned surface vehicles (USVs), mos...
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Carlos Sampaio and João Renato Sebastião
The world is marked by persistent and recurring socio-economic and environmental changes. The domains of social innovation and social entrepreneurship have gained prominence as catalysts for positive change and societal resilience. Despite the substantia...
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Tetiana Kornieieva, Miguel Varela, Ana Lúcia Luís and Natália Teixeira
The article presents a theoretical generalisation and solution of a current scientific and applied problem which develops theoretical principles, methodological approaches and scientific and practical recommendations for improving the mechanism of labour...
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James Oduor Oyoo, Jael Sanyanda Wekesa and Kennedy Odhiambo Ogada
Road traffic collisions are among the world?s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation using diff...
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Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
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