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The exponential growth of big data has transformed how large organisations leverage information to drive innovation, optimise processes, and maintain competitive advantages. However, managing and extracting insights from vast, heterogeneous…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-09 Fathima Nuzla Ismail , Abira Sengupta , Shanika Amarasoma

Safety-critical systems such as automated embedded or industrial systems have a strong dependency on the trustworthiness of data collection. As sensors are the critical component for those systems, it is imperative to address the attack…

Cryptography and Security · Computer Science 2024-04-29 Partha Protim Datta

This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in…

In the age of cloud computing, data privacy protection has become a major challenge, especially when sharing sensitive data across cloud environments. However, how to optimize collaboration across cloud environments remains an unresolved…

Cryptography and Security · Computer Science 2025-05-20 Huaiying Luo , Cheng Ji

Today's era is characterized as the "digital transformation era". Digital processes and information systems are used in every aspect of social and business activity. The use of information technology over the internet is so extensive that…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-01 Sotiris P. Gayialis , Evripidis P. Kechagias , Angeliki Deligianni , Grigorios D. Konstantakopoulos , Georgios A. Papadopoulos

As envisioned in a recent future-casting workshop, warfare will continue to be transformed by advances in information technologies. In fact, information itself will become the decisive domain of warfare. Four developments will significantly…

Cryptography and Security · Computer Science 2015-12-02 Alexander Kott , David S. Alberts , Cliff Wang

In the field of business data analysis, the ability to extract actionable insights from vast and varied datasets is essential for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while reliable,…

Computation and Language · Computer Science 2024-04-25 Aliaksei Vertsel , Mikhail Rumiantsau

In the financial field of the United States, the application of big data technology has become one of the important means for financial institutions to enhance competitiveness and reduce risks. The core objective of this article is to…

Risk Management · Quantitative Finance 2024-09-17 Shuochen Bi , Yufan Lian , Ziyue Wang

-Information Technology (IT) shaped the success of organizations, giving them a solid foundation that increases both their level of efficiency as well as productivity. The computing industry is witnessing a paradigm shift in the way…

Computers and Society · Computer Science 2012-09-28 Heru Susanto , Mohammad Nabil Almunawar , Chen Chin Kang

The great scientific and technological advances that are being carried out in the field of quantum communications, accompanied by large investment programs such as EuroQCI, are driving the deployment of quantum network throughout the world.…

Quantum Physics · Physics 2024-01-15 M. I. Garcia-Cid , L. Ortiz , J. Saez , V. Martin

Digital transformation in the built environment offers new opportunities to improve building maintenance through data-driven approaches. Smart monitoring, predictive modeling, and artificial intelligence can enhance decision-making and…

Systems and Control · Electrical Eng. & Systems 2025-09-05 Zhongjun Ni

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-11 Blesson Varghese , Rajkumar Buyya

During the production, distribution, and consumption of energy, a large quantity of data is generated. For efficiently using of energy resources other supplementary data such as building information, weather, and environmental data etc. are…

Computers and Society · Computer Science 2019-10-22 Muhammad Aslam Jarwar , Sajjad Ali , Ilyoung Chong

Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully…

Robotic systems have been evolving since decades and touching almost all aspects of life, either for leisure or critical applications. Most of traditional robotic systems operate in well-defined environments utilizing pre-configured…

Robotics · Computer Science 2019-01-11 Alaa F. Sheta , Nazeeh Ghatasheh , Hossam Faris , Ali Rodan

As an enhancement of cellular networks, the future-generation 5G network can be considered an ultra-high-speed technology. The proposed 5G network might include all types of advanced dominant technologies to provide remarkable services.…

Networking and Internet Architecture · Computer Science 2017-01-20 Nam Tuan Le , Mohammad Arif Hossain , Amirul Islam , Do-yun Kim , Young-June Choi , Yeong Min Jang

Emergence of the utility of 3D point cloud data in safety-critical vision tasks (e.g., ADAS) urges researchers to pay more attention to the robustness of 3D representations and deep networks. To this end, we develop an attack and defense…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Jiancheng Yang , Qiang Zhang , Rongyao Fang , Bingbing Ni , Jinxian Liu , Qi Tian

Artificial intelligence (AI) like deep learning, cloud AI computation has been advancing at a rapid pace since 2014. There is no doubt that the prosperity of AI is inseparable with the development of the Internet. However, there has been…

Computers and Society · Computer Science 2018-01-19 Feng Liu , Yong Shi , Peijia Lia

In the future 6th generation networks, ultra-reliable and low-latency communications (URLLC) will lay the foundation for emerging mission-critical applications that have stringent requirements on end-to-end delay and reliability. Existing…

Signal Processing · Electrical Eng. & Systems 2020-02-26 Changyang She , Rui Dong , Zhouyou Gu , Zhanwei Hou , Yonghui Li , Wibowo Hardjawana , Chenyang Yang , Lingyang Song , Branka Vucetic

Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging. Recently, federated learning is proposed to train a globally shared model by exploiting a…

Networking and Internet Architecture · Computer Science 2020-05-05 Qiong Wu , Kaiwen He , Xu Chen
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