Results 41 to 50 of about 1,925 (222)

Advances in Artificial Intelligence‐Based Liver‐Related Semantic Segmentation Techniques and Applications Using CT Imaging

Cancer Medicine, Volume 15, Issue 4, April 2026.
This review summarizes clinical and technical advancements in AI‐based semantic segmentation for liver organ, tumors, and vasculature on CT imaging. It highlights key applications in surgical planning and disease evaluation while discussing critical challenges and strategies for real‐world clinical deployment and multimodal integration.
Jun Pu, Xuan Wang, Liang Zhu, Jie Pan
wiley   +1 more source

Datacenter resource scheduling for networked cloud applications

, 2021
Cloud computing is an integral part of modern life, which became increasingly apparent during the COVID-19 pandemic. Applications that run on the cloud facilitate many of our daily activities, including education, retail, and high quality video calls ...
Kodirov, Nodir
core  

Characterization of Mercury's Atomic and Molecular Hydrogen Exosphere and the First Detection of H2 Ions

Journal of Geophysical Research: Planets, Volume 131, Issue 3, March 2026.
Abstract From 1974 to 1975, the Mariner 10 spacecraft studied Mercury's environment during three flybys and detected hydrogen, helium, and possibly atomic oxygen in the exosphere using its ultraviolet spectrometer, but no molecular hydrogen. Based on the sensitivity of the occultation instrument, an upper limit for the H2 ${\mathrm{H}}_{2}$ surface ...
F. Weichbold, D. Schmid, H. Lammer, M. Volwerk, M. Scherf, N. V. Erkaev, A. Varsani, C. Simon Wedlund, C. Mazelle   +8 more
wiley   +1 more source

A Multi‐Layered Analysis of Energy Consumption in Spark

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini, Vinícius Dias, Dorgival Guedes   +2 more
wiley   +1 more source

SHIELD-EB: Sustainable Hybrid Evolutionary-Boosting Framework for Carbon, Wastewater, and Cost-Aware Datacenter Management

IEEE Access
For over a decade, the problem of distributed cloud workload management has been studied with the goal of co-optimizing operational costs with other metrics, such as energy efficiency, using multi-objective optimization algorithms.
Sirui Qi, Hayden Moore, Dejan Milojicic, Cullen Bash, Sudeep Pasricha   +4 more
doaj   +1 more source

Permanent Anchors and Adaptive Throughput: Extending Proof‐of‐Access Consensus to Resolve the Blockchain Trilemma

IET Information Security, Volume 2026, Issue 1, 2026.
Contemporary distributed ledgers face an inherent trilemma when attempting to simultaneously optimize three critical properties: transaction throughput (measured in transactions per second [TPS]), network security, and node decentralization. Current decentralized storage platforms such as Filecoin encounter constraints in managing peak transaction ...
Saha Reno, G. M. Abdullah Al Kafi, Koushik Roy, peican zhu   +3 more
wiley   +1 more source

An LSTM‐Based Resource Prediction Model in Google Cloud Data Center

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The increasing complexity and dynamic nature of workloads in cloud computing are characterized by various patterns with time‐dependent features. Such variations pose considerable challenges on Cloud Service Providers (CSPs) incurred by the fluctuation of resource demands along with their impact on quality of service (QoS) optimization.
Eman Alshboul, Husam Suleiman, Mohammad Alshboul, Said El Kafhali   +3 more
wiley   +1 more source

Nxt-Freedom: Considering VDC-Based Fairness in Enforcing Bandwidth Guarantees in Cloud Datacenter

Applied Sciences, 2020
In the cloud datacenter, for the multi-tenant model, network resources should be fairly allocated among VDCs (virtual datacenters). Conventionally, the allocation of cloud network resources is on a best-effort basis, so the specific information of ...
Shuo Wang, Zhiqiang Zhou, Hongjie Zhang, Jing Li   +3 more
doaj   +1 more source

Datacenter Changes vs. Employment Rates for Datacenter Managers In the Cloud Computing Era

CoRR, 2014
Due to the evolving Cloud Computing paradigm, there is a prevailing concern that in the near future data center managers may be in short supply. Cloud computing, as a whole, is becoming more prevalent into today s computing world. In fact, cloud computing has become so popular that some are now referring to data centers as cloud centers.
Timur Mirzoev, Bruce Benson, David Hillhouse, Mickey Lewis   +3 more
openaire   +2 more sources

Kraken: Online and Elastic Resource Reservations for Cloud Datacenters [PDF]

IEEE/ACM Transactions on Networking, 2018
In cloud environments, the absence of strict network performance guarantees leads to unpredictable job execution times. To address this issue, recently, there have been several proposals on how to provide guaranteed network performance. These proposals, however, rely on computing resource reservation schedules a priori.
Carlo Fuerst, Stefan Schmid 0001, P. Lalith Suresh, Paolo Costa   +3 more
openaire   +2 more sources