Results 131 to 140 of about 34,905 (300)

Queuing Delay Reduction based on Network Traffic Patterns: A Predictive QoS Framework For Point-To-Point Communications

Transport and Telecommunication
Ensuring optimal quality of service (QoS) in computer networks requires a detailed assessment of performance metrics, with data network queuing delay within intermediate devices being critical parameters.
Espinal Albert, Sanchez Padilla V.
doaj   +1 more source

Paying Vs. Waiting in the Pursuit of Specific Egalitarianism [PDF]

We propose an allocation mechanism for publicly providing a private good such that the final allocation is simultaneously independent of income and increasing in strength of preference or need.
Jeremy Clark, Bonggeun Kim
core  

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

The Study of Open-Loop Stochastic Queuing Networks with Heterogeneous Requests

In earlier studies, the authors developed a method for calculating the parameters of queuing systems while taking into account the heterogeneity of the requests.
Boicovs, Viktors, Jivitere, M.
core  

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

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

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

Auto‐ISC: Inter‐Sample Contrastive Learning for Automated Curve Angle Calculation From Ultrasound

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Scoliosis assessment has been increasingly supported by AI‐assisted tools, enabling more efficient and standardised clinical workflows. However, existing ultrasound‐based pipelines often suffer from limited generalisation and unstable performance.
Chen Zhang, Anh Hoang Phuc Nguyen, Yongping Zheng, Sai Ho Ling   +3 more
wiley   +1 more source