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Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ...
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Guilherme Perin, Lichao Wu and Stjepan Picek
The adoption of deep neural networks for profiling side-channel attacks opened new perspectives for leakage detection. Recent publications showed that cryptographic implementations featuring different countermeasures could be broken without feature selec...
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Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
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Jason A. Hubbart
Organizational change has been investigated for decades, with many works addressing change adoption challenges. Change aversion, like change resistance, is not uncommon, but going unchecked can reduce organizational change initiative success. This commun...
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Nethra Venkatayogi, Maanas Gupta, Alaukik Gupta, Shreya Nallaparaju, Nithya Cheemalamarri, Krithika Gilari, Shireen Pathak, Krithik Vishwanath, Carel Soney, Tanisha Bhattacharya, Nirvana Maleki, Saptarshi Purkayastha and Judy Wawira Gichoya
The utilization of ultrasound imaging for early visualization has been imperative in disease detection, especially in the first responder setting. Over the past decade, rapid advancements in the underlying technology of ultrasound have allowed for the de...
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Maria Cairoli and Lavinia Chiara Tagliabue
Digital twins aim to virtually replicate the static and dynamic building characteristics through real-time connectivity between virtual and physical counterparts. Despite its potential, research into digital twins for facility management (FM) in multipur...
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Fadi Shehab Shiyyab, Abdallah Bader Alzoubi, Qais Mohammad Obidat and Hashem Alshurafat
This study determines to what extent Jordanian banks refer to and use artificial intelligence (AI) technologies in their operation process and examines the impact of AI-related terms disclosure on financial performance. Content analysis is used to analyz...
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Michaela Cellina, Maurizio Cè, Marco Alì, Giovanni Irmici, Simona Ibba, Elena Caloro, Deborah Fazzini, Giancarlo Oliva and Sergio Papa
Digital twins are virtual replicas of physical objects or systems. This new technology is increasingly being adopted in industry to improve the monitoring and efficiency of products and organizations. In healthcare, digital human twins (DHTs) represent v...
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Majid Nasirinejad and Srinivas Sampalli
Home appliance manufacturers have been adding Wi-Fi modules and sensors to devices to make them ?smart? since the early 2010s. However, consumers are still largely unaware of what kind of sensors are used in these devices. In fact, they usually do not ev...
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Rizwana Yasmeen, Gang Hao, Yusen Ye, Wasi Ul Hassan Shah and Caihong Tang
China is currently facing the significant task of effectively managing its water resources to satisfy the rising needs while grappling with the growing worries of water shortage. In this context, it becomes crucial to comprehend the importance of resourc...
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