Results 151 to 160 of about 88,227,781 (177)

Towards Maintenance 5.0: Resilience-Based Maintenance in AI-Driven Sustainable and Human-Centric Industrial Systems. [PDF]

Sensors (Basel)
Bukowski L, Werbinska-Wojciechowska S.
europepmc   +1 more source

Remote medical system driven by medical big models: Dynamic defense model for network security threats. [PDF]

PLoS One
Weng Z, Hu Y, Gu D, Wang Z, Guo Y.
europepmc   +1 more source

Combinatorial design of siloxane-incorporated lipid nanoparticles augments intracellular processing for tissue-specific mRNA therapeutic delivery. [PDF]

Nat Nanotechnol
Xue L, Zhao G, Gong N, Han X, Shepherd SJ, Xiong X, Xiao Z, Palanki R, Xu J, Swingle KL, Warzecha CC, El-Mayta R, Chowdhary V, Yoon IC, Xu J, Cui J, Shi Y, Alameh MG, Wang K, Wang L, Pochan DJ, Weissman D, Vaughan AE, Wilson JM, Mitchell MJ.   +24 more
europepmc   +1 more source

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. [PDF]

Sensors (Basel)
Yigit Y, Ferrag MA, Ghanem MC, Sarker IH, Maglaras LA, Chrysoulas C, Moradpoor N, Tihanyi N, Janicke H.   +8 more
europepmc   +1 more source

AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration. [PDF]

Sensors (Basel)
Rafiq A, Shakir MZ, Gray D, Inglis J, Ferguson F.   +4 more
europepmc   +1 more source

Advancing Circular Economy Implementation for High-Speed Train Rolling Stocks by the Integration of Digital Twins and Artificial Intelligence. [PDF]

Sensors (Basel)
Khongsomchit L, Kaewunruen S.
europepmc   +1 more source

A tri-level stochastic framework for planning integrated electricity, gas, and heating networks with enhanced resilience and renewable integration. [PDF]

Sci Rep
Moshkelgosha M, Niknam T, Bahmani-Firouzi B.   +2 more
europepmc   +1 more source

The (α, β)-Precise Estimates of MTBF and MTTR: Definition, Calculation, and Observation Time

IEEE Transactions on Automation Science and Engineering, 2021
The mean time between failures (MTBF) and mean time to repair (MTTR) of manufacturing equipment (e.g., machines) are used in every quantitative method for production systems performance analysis, continuous improvement, and design.
Yongsoon Eun, Liang Zhang, Pooya Alavian   +2 more
exaly   +2 more sources

MTTR reduction of FPGA scrubbing: Exploring SEU sensitivity [PDF]

Microprocessors and Microsystems, 2023
SRAM-based FPGAs are widely used for developing many critical systems due to their huge capacity, flexibility, and high performance. However, their applicability in the presence of the Single Event Upsets (SEUs) should be ensured using mitigation ...
Akash Kumar, Mousavi Mahsa, Henk Corporaal   +2 more
exaly   +2 more sources

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Technician Utilization-Based Analysis of Mean Time to Detect (MTTD) and Mean Time to Repair (MTTR) for a Strategic Approach in Failure Corrective Maintenance System (FCMS)

2025 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Pikul Vejjanugraha, Wuttipong Pawasarn
openaire   +3 more sources