Results 111 to 120 of about 1,233,375 (277)

Review of volume-delay functions integrating traditional models and emerging AI technologies

Communications in Transportation Research
Link performance functions (LPFs) underpin the estimation of travel times, delays, and congestion in transportation network models. As multimodal systems become increasingly data rich and feature connected and automated vehicles (CAVs), electric vehicles
Yuyan (Annie) Pan, Xianbiao (XB) Hu, George List, Xuesong (Simon) Zhou   +3 more
doaj   +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

QSRED, an algorithm to solve the mismatch between the microscopic and macroscopic behavior of RED gateways [PDF]

, 2010
Network congestion is a phenomenon caused by the extreme demand of restricted network resources. Various congestion control strategies have been proposed to increase network performance.
Murray, D., Michael Dixon, Hamadneh, N., Peter Cole, Dixon, M., Cole, P., Nabhan Hamadneh, David Murray   +7 more
core  

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

Optimisation or Learning? Appropriate Choice of Models and Methods for Sequential Decision‐Making in Power System Operation

Energy Internet, EarlyView.
ABSTRACT Power system operation is inherently a sequential decision‐making problem, traditionally addressed through optimisation models built upon high‐quality load forecasts. However, the rapid proliferation of renewable generation and price‐responsive demands, such as electric vehicles and merchant energy storage, has introduced multiple sources of ...
Wei Wei, Runze Liang
wiley   +1 more source

Understanding natal emigration in group‐living carnivores

Journal of Animal Ecology, EarlyView.
Dispersal is a key ecological and evolutionary process, yet drivers of variation in emigration under human‐modified conditions remain understudied. Using a novel genetic approach applied to harvested grey wolves in Idaho, USA, we found that prey availability and population density shape natal emigration patterns in a cooperative breeder.
Kathleen M. Petersen, Joel M. Tebbenkamp, Matthew A. Mumma, David E. Ausband   +3 more
wiley   +1 more source

Modelling Congestion Evolution in Railway Marshalling Yard Inbound Operations Under Irregular Train Arrivals

Applied Sciences
Railway marshalling yard inbound operations are affected by irregular train arrivals, finite receiving-yard capacity, service interruptions, and boundary states carried across operating days.
Lei Gao, Nabila Bte Abdul Ghani, Zuhra Junaida Binti Mohamad Husny Hamid   +2 more
doaj   +1 more source

Colored Markov Modulated Fluid Queues

CoRR
Markov-modulated fluid queues (MMFQs) are a powerful modeling framework for analyzing the performance of computer and communication systems. Their distinguishing feature is that the underlying Markov process evolves on a continuous state space, making them well suited to capture the dynamics of workloads, energy levels, and other performance-related ...
openaire   +3 more sources