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Isaac Machorro-Cano, José Oscar Olmedo-Aguirre, Giner Alor-Hernández, Lisbeth Rodríguez-Mazahua, Laura Nely Sánchez-Morales and Nancy Pérez-Castro
Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in constant development and, so far, m...
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Naseem Adnan Alsamarai and Osman Nuri Uçan
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se...
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Saad Said Alqahtany and Toqeer Ali Syed
In the domain of computer forensics, ensuring the integrity of operations like preservation, acquisition, analysis, and documentation is critical. Discrepancies in these processes can compromise evidence and lead to potential miscarriages of justice. To ...
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Yogeswaranathan Kalyani, Liam Vorster, Rebecca Whetton and Rem Collier
In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, sys...
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Paolo Bellavista and Giuseppe Di Modica
A Digital Twin (DT) refers to a virtual representation or digital replica of a physical object, system, process, or entity. This concept involves creating a detailed, real-time digital counterpart that mimics the behavior, characteristics, and attributes...
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Muhammad Nafees Ulfat Khan, Weiping Cao, Zhiling Tang, Ata Ullah and Wanghua Pan
The rapid development of the Internet of Things (IoT) has opened the way for transformative advances in numerous fields, including healthcare. IoT-based healthcare systems provide unprecedented opportunities to gather patients? real-time data and make ap...
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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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Giuseppe Agapito and Mario Cannataro
Technological advances in high throughput platforms for biological systems enable the cost-efficient production of massive amounts of data, leading life science to the Big Data era. The availability of Big Data provides new opportunities and challenges f...
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Vamsheedhar Reddy Pillareddy and Ganesh Reddy Karri
Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud computing due to its widespread applications in physics, astronomy, bioinformatic...
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João Monge, Gonçalo Ribeiro, António Raimundo, Octavian Postolache and Joel Santos
Health monitoring is crucial in hospitals and rehabilitation centers. Challenges can affect the reliability and accuracy of health data. Human error, patient compliance concerns, time, money, technology, and environmental factors might cause these issues...
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