Results 191 to 200 of about 859,847 (287)

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

open access: yesInternational Transactions in Operational Research, Volume 34, Issue 1, Page 429-459, January 2027.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer   +3 more
wiley   +1 more source

Designing healthy and resilient information environments: A multi‐agent sandbox for exploring risks and countermeasures

open access: yesAI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Artificial intelligence is transforming online information environments, amplifying both societal benefits and risks. This article argues that online platforms can be understood as multi‐agent systems (MAS) composed of humans, simulated users, adversarial agents, and defensive agents operating under platform‐level rules.
Jurriaan van Diggelen, Maaike Homan
wiley   +1 more source

Furrow irrigation spacing effects on water movement in a vertisol: A case study of wide‐skip furrow irrigation

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Vertisols, also known as cracking clay soils when dry, can be prone to excessive infiltration from every‐furrow irrigation. To mitigate this problem, some farmers in the Yazoo‐Mississippi Delta practice wide‐skip furrow irrigation, which concentrates irrigation water into one furrow every 3 m or wider.
Trey Freeland   +7 more
wiley   +1 more source

Feasibility of a National Earthquake Early Warning System for New Zealand: The Propagation of Local Undamped Motion Algorithm Evaluated on a Physics‐Based Synthetic Earthquake Catalogue

open access: yesNew Zealand Journal of Geology and Geophysics, Volume 69, Issue 4, December 2026.
Earthquake early warning (EEW) can reduce injuries and damage by issuing alerts before incoming shaking. We evaluate the Propagation of Local Undamped Motion (PLUM) algorithm as a candidate for a national EEW system for Aotearoa New Zealand (NZ). We develop and demonstrate a novel methodology for evaluating EEW performance under a wide range of future ...
Rasika Nandana   +3 more
wiley   +1 more source

Toward Better Monitoring of Cryptic Lizards: Catch Rate Predictors and Natural History of the Elusive Northern Striped Gecko Toropuku inexpectatus

open access: yesNew Zealand Journal of Zoology, Volume 53, Issue 4, December 2026.
The nocturnal and arboreal northern striped gecko (Toropuku inexpectatus) is one of Aotearoa New Zealand's most elusive and least‐detected lizards, classified as Threatened – Nationally Vulnerable. Limited knowledge of its biology, ecology and distribution poses challenges for monitoring and conservation.
Cassidy A. Storey   +5 more
wiley   +1 more source

A Compressive Neural Telemetry with Address-Event-μPacket Encoding and Duty-Cycling IR-UWB Transmitter. [PDF]

open access: yesIEEE Trans Microw Theory Tech
Liu J   +7 more
europepmc   +1 more source

A Secure IoT–Blockchain Framework for Vaccine Cold‐Chain Monitoring With Predictive Analytics

open access: yesPublic Health Challenges, Volume 5, Issue 4, December 2026.
This proof‐of‐concept framework integrates IoT sensing, secure MQTT/TLS communication, SHA‐256 hash verification, permissioned blockchain provenance tracking, and predictive analytics for vaccine cold‐chain monitoring. Evaluation using 26,674 logistics observations shows feasible secure telemetry management and short‐term temperature forecasting to ...
Lakshmanan Muthusamy   +3 more
wiley   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

open access: yesSoftware: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai   +5 more
wiley   +1 more source

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