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Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova and Andrey Chechulin
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult fo...
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Haiyang Liu and Enlin Ma
The concentration of atmospheric greenhouse gases is being amplified by human activity. Building energy consumption, particularly for heating and cooling purposes, constitutes a significant proportion of overall energy demand. This research aims to estab...
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Abubakar Ahmad Musa, Adamu Hussaini, Cheng Qian, Yifan Guo and Wei Yu
The Internet of Things (IoT) constitutes a vast network comprising various components such as physical devices, vehicles, buildings, and other items equipped with sensors, actuators, and software. These components are interconnected, facilitating the col...
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Josephine Roper, Matthew Ng, Christopher Pettit
Pág. 361 - 387
In this paper, we argue for an explicit decoupling of ?walkability? and ?walking behavior? and for the advantages of a definition of walkability based on access. This provides impetus for a new approach to constructing and using walkability indices, comb...
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Hossein Hassani, Nadejda Komendantova, Elena Rovenskaya and Mohammad Reza Yeganegi
This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analysis a...
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