Results 41 to 50 of about 10,964,931 (140)
Modeling of a Coal Transshipment Complex Based on a Queuing Network
This article concerns the problem of estimating the throughput and forecasting the operation of a coal transshipment complex that comprises a marine coal terminal and a railway station. Scenario modeling is employed to address this issue.
Alexander Kazakov +2 more
doaj +1 more source
ABSTRACT Deep generative models, particularly denoising diffusion models, have achieved remarkable success in high‐fidelity generation of architected microstructures with desired properties and styles. However, these recent methods typically rely on conditional training mechanisms that require extensive labeled data.
Weipeng Xu +5 more
wiley +1 more source
Diffusion‐Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation
Abstract Hourly predictions are critical for issuing flood warnings as the hourly flood peaks can be distinctly higher than the corresponding daily ones. Currently a popular hourly data‐driven prediction scheme is multi‐time‐scale long short‐term memory (MTS‐LSTM), yet such models face challenges in probabilistic forecasts or integrating observations ...
Wencong Yang +6 more
wiley +1 more source
ABSTRACT Understanding population structure and clarifying species boundaries are essential for the sustainable management of exploited marine species. Although genomic resources for shallow‐water taxa have expanded rapidly, open‐water species remain comparatively understudied.
Atal Saha +10 more
wiley +1 more source
BiT‐MoFE: Unified illumination correction in capsule endoscopy
Abstract As a prevalent non‐invasive screening technique, Wireless Capsule Endoscopy is often hindered by poor image quality, including under‐/overexposure and low light condition. While illumination correction based on diffusion modeling or frequency‐domain decomposition has shown effectiveness, existing methods often (1) underexploit structural ...
Haoyu Ding +4 more
wiley +1 more source
An environmentally enhanced proximal policy optimization (EN‐PPO) method is proposed for adaptive irrigation of water spinach across the full growth cycle. By integrating soil moisture, growth stage, rainfall, and evapotranspiration information, the method improves irrigation timing, water‐saving performance, and rainfall utilization while maintaining ...
Ruipeng Tang +4 more
wiley +1 more source
On the Queue Length Distribution in BMAP Systems
Batch Markovian Arrival Process – BMAP – is a teletraffic model which combines high ability to imitate complexstatistical behaviour of network traces with relative simplicity in analysis and simulation.
Andrzej Chydzinski
doaj
Real‐Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learning
ABSTRACT Unmanned marine vehicles (UMVs) are one of the most crucial components of the underwater communication and surveillance system in the marine and oceanographic environment. This research introduces a novel approach to stabilize the connection in an unstable underwater environment by inheriting features of communication velocities.
Noman Ali +8 more
wiley +1 more source
Early warning signal for river‐borne diseases with almost no data
Abstract Effective management of emerging river‐borne diseases requires early prediction of pathogen spatial distributions. However, data on pathogen locations are notoriously rare in the beginning of disease outbreaks and insufficient to feed existing predictive models.
Pouria Ramazi +4 more
wiley +1 more source
Decentralised Reinforcement Learning for Dynamic Cyberattack Response in Microgrid Networks
This paper proposes a dynamic, online‐trained and fully decentralised reinforcement learning (RL)‐based cyberattack response framework to protect microgrids from evolving cyberattacks. The proposed framework deploys multiple deep Q‐networks (DQNs), each associated with a distributed energy resource (DER), to enable localised and adaptive attack ...
Suman Rath, Vivek Kumar Singh
wiley +1 more source

