Results 101 to 110 of about 588,874 (281)

STOCHASTIC ANALYSIS OF CPU SCHEDULING IN APPLE M-SERIES

Електроніка та інформаційні технології
Background. Efficient task scheduling in heterogeneous CPU architectures is critical for maintaining system responsiveness and optimal resource utilization under fluctuating workloads.
Bohdan Mikh, Yuriy Korchak
doaj   +1 more source

Deploying Soft Operations Research Techniques in Hybrid Modelling: The Role of Qualitative System Dynamics in Sustainability Analysis

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Organisations increasingly need modelling approaches that can support sustainable development decisions across economic, environmental and social dimensions. The triple bottom line (TBL) perspective provides a useful basis for such analysis, but it also introduces modelling challenges because the relevant dimensions are often interdependent ...
Masoud Fakhimi, Navonil Mustafee, Lampros Stergioulas   +2 more
wiley   +1 more source

What Is the Return on Investment of Digital Engineering for Complex Systems Development Schedules? Findings From a Mixed‐Methods Case Study on the Post‐Production Design Change Processes of Navy Assets

Systems Engineering, EarlyView.
ABSTRACT Complex engineered systems routinely face schedule and cost overruns, along with poor post‐deployment performance. Both INCOSE and the U.S. Department of Defense (DoD) have championed Digital Engineering (DE) as a potential remedy, yet most of DE's purported benefits remain anecdotal, and its return on investment (ROI) remains poorly ...
Jannatul Shefa, Taylan G. Topcu
wiley   +1 more source

Thai Translation and Validation of Chronic Rhinosinusitis‐Patient Reported Outcome (CRS‐PRO)

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives The Chronic Rhinosinusitis Patient‐Reported Outcome (CRS‐PRO) questionnaire was recently developed for use in chronic rhinosinusitis (CRS) patients. This instrument was developed using current diagnostic criteria. This study aimed to translate and validate CRS‐PRO for Thai CRS patients.
Wirach Chitsuthipakorn, Vorachai Pooldum, Juthaporn Phetpong, Saranath Lawpoolsri, Dichapong Kanjanawasee, Patlada Kowatanamongkon, Kittichai Mongkolkul, Kachorn Seresirikachorn, Kornkiat Snidvongs   +8 more
wiley   +1 more source

MultiRobot Motion Planning Based on Diffusion and Time–Space Path Planning

Artificial Intelligence for Engineering, EarlyView.
This diffusion‐based framework for multirobot motion planning reuses a pretrained single‐robot Motion Planning Diffusion model, employing an alternating trajectory generation scheme guided by inter‐robot collision costs, resulting in coordinated planning without additional multi‐robot training.
Tianle Zhang, Sheng‐Jen Hsieh, Cheng Niu   +2 more
wiley   +1 more source

Multi‐Vine Disease Prediction in a Field Test Spanning Whole Growth Season at Wine‐Industrial Site (McLaren Vale)

Artificial Intelligence for Engineering, EarlyView.
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang, Nguyen Van Duc Long, Mst Irin Parvin, Philip Kwong, Vinay Pagay, Maria Maglieri, Steve Maglieri, Andrew Godfrey, Harpinder Sandhu, Kartheek Munigoti, Nicola Sasanelli, Pieter van Schalkwyk, Freya Richardson, Bhola Paudel, Pramod Gautam, Kashif Khaqan, Volker Hessel   +16 more
wiley   +1 more source

Approximate analysis of load-dependent generally distributed queuing

, 2010
In this paper, we present an approximate method for solution of load-dependent, closed queuing networks having general service time distributions with low variability. The proposed technique is an extension of Marie's (1980) method. In the methodology, conditional throughputs are obtained by an iterative procedure.
Ekren, BY, Heragu, SS
openaire   +2 more sources

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Location models for airline hubs behaving as M/D/c queues [PDF]

Models are presented for the optimal location of hubs in airline networks, that take into consideration the congestion effects. Hubs, which are the most congested airports, are modeled as M/D/c queuing systems, that is, Poisson arrivals, deterministic ...
Daniel Serra, Vladimir Marianov
core  

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source