Results 81 to 90 of about 168,797 (129)

A hybrid RL-GA-LSTM-AE framework for energy-aware and SLA-driven task scheduling in cloud computing environments. [PDF]

Sci Rep
Narsimhulu B, Kumar TS.
europepmc   +1 more source

SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]

Sci Rep
Yamsani N, P CR.
europepmc   +1 more source

Practices and Trends of Machine Learning Application in Nanotoxicology. [PDF]

Nanomaterials (Basel), 2020
Furxhi I, Murphy F, Mullins M, Arvanitis A, Poland CA.   +4 more
europepmc   +1 more source

End-to-end IoT sensor data simulation and predictive analysis: framework implementation and experimental evaluation. [PDF]

Sci Rep
Noetzold D, Leithardt VRQ, de Paz JF, Barbosa JLV.   +3 more
europepmc   +1 more source

5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps. [PDF]

Sensors (Basel), 2020
Varga P, Peto J, Franko A, Balla D, Haja D, Janky F, Soos G, Ficzere D, Maliosz M, Toka L.   +9 more
europepmc   +1 more source

A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats. [PDF]

Sensors (Basel)
Arif T, Jo B, Park JH.
europepmc   +1 more source

The challenges of national health data ecosystems in feeding the European health data space: the Italian example. [PDF]

Front Med (Lausanne)
Murgia Y, Gazzarata R, Ciampi M, Sicuranza M, Cirillo F, Esposito C, Maggi N, Balestra G, Sacchi L, Giacomini M.   +9 more
europepmc   +1 more source

Candidate blood biomarkers linked with feed intake efficiency and weight gain in sheep. [PDF]

Sci Rep
Osonowo O, Goldansaz SA, Lei Y, Gellatly D, Jawad H, Borzouie S, Markus S, Miar Y, Thompson S, Manafiazar G.   +9 more
europepmc   +1 more source

SPME-based investigation of thapsigargin-induced alterations in the volatilome of human melanoma cells. [PDF]

Anal Bioanal Chem
Santarelli E, Delli Carri M, Miranda MR, Caponigro V, Vestuto V, Smolinska A, Manni A, Campiglia P, Pepe G, Crescenzi C.   +9 more
europepmc   +1 more source

Workload-Aware Autoscaling Support to LLM Inference in Cloud-Native Environments

The growing adoption of Large Language Models (LLM) in production environments and the emerging Model-as-a-Service paradigm pose new challenges for cloud infrastructures.
Sgreccia, Tommaso
core