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AI-Powered Green Cloud and Data Center [PDF]
IEEE Access, 2019 As the scale of cloud computing expands, its impact on energy and the environment is becoming more and more prominent. According to statistics, data centers’ energy consumption has accounted for 50% of operating costs of the data centers ...
Jun Yang +5 more
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Internet-of-Video Things Based Real-Time Traffic Flow Characterization [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Real-world traffic flow parameters are fundamental for devising smart mobility solutions. Though numerous solutions (intrusive and non-intrusive sensors) have been proposed, however, these have serious limitations under heterogeneous and ...
Ali Khan +5 more
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HetroTraffSim: A Macroscopic Heterogeneous Traffic Flow Simulator for Road Bottlenecks
Future Transportation, 2023 Smart mobility is crucial for future smart cities. Traffic simulation software (TSS) is an important tool for efficient planning and management of road networks to achieve this goal. Many TSS tools have been developed for both microscopic and macroscopic
Ali Zeb +4 more
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Bias Detection for Customer Interaction Data: A Survey on Datasets, Methods, and Tools
IEEE Access, 2023 With the increase in usage of machine learning models within many different aspects of customer interactions, it has become very clear that bias detection within associated customer interaction datasets has led to a critical focus on issues such as the ...
Andy Donald +7 more
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Reengineering Cloud Data Centers [PDF]
IEEE Cloud Computing, 2018 Data centers should be among the most automated, robust environments on the planet. Instead, they often remain stuck in the past as agglomerations of outdated technologies. It is time to take this problem seriously and directly address the needs of data centers for modern automation and control through analytics-driven methods.
Josef Spillner, Alan Sill
openaire +1 more source
Journal of Water and Climate Change, 2022 The sustainability of the hydrological and ecological ecosystems of any region requires continuous monitoring of the water bodies. Recent advancements in satellite-based remote optical sensors, big data analysis and cloud computing have given new ...
Muhammad Ali Ismail +5 more
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Frontiers in Public Health, 2022 ObjectivesTo provide a comprehensive assessment of the estimated burden and trend of urolithiasis at the global, regional, and national levels.MethodsThe age-standardized rates (ASRs) of the incidence and disability-adjusted life years (DALYs) of ...
Shasha Li +13 more
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BMC Medical Informatics and Decision Making, 2022 Background Venous thromboembolism (VTE) risk assessment in surgical patients is important for the appropriate diagnosis and treatment of patients. The commonly used Caprini model is limited by its inadequate ability to discriminate between risk stratums ...
Peng Wang +7 more
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Technology of Lithium-Ion Battery State-of-Health Assessment Based on Data-Driven
Zhongguo dianli, 2022 The battery state of health (SOH) is a key factor affecting the large-scale application of lithium-ion batteries, and the data-driven lithium-ion SOH assessment method has become a hot topic in current related research. In order to systematically dissect
Chong LI +4 more
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An insider user authentication method based on improved temporal convolutional network
High-Confidence Computing, 2023 With the rapid development of information technology, information system security and insider threat detection have become important topics for organizational management.
Xiaoling Tao +4 more
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