Results 31 to 40 of about 184 (123)

BiT‐MoFE: Unified illumination correction in capsule endoscopy

Journal of Intelligent Medicine, Volume 3, Issue 2, Page 125-139, June 2026.
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, Yuntong Tian, Tianling Liu, Hongying Liu, Liang Wan   +4 more
wiley   +1 more source

Research on Adaptive Irrigation Decision‐Making Method for the Entire Growth Cycle of Water Spinach Based on Reinforcement Learning

Food Frontiers, Volume 7, Issue 3, May 2026.
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, Loy Chee Luen, Wei Sun, Narendra Kumar Aridas, Mohamad Sofian Abu Talip   +4 more
wiley   +1 more source

Real‐Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learning

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
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, Yousaf Saeed, Muhammad Ibrahim, Muhammad Bilal, Muhammad Tahir, Muhammad Aslam, Edore Akpokodje, Syeda Fizzah Jilani, Meng Tang   +8 more
wiley   +1 more source

Modeling of a Coal Transshipment Complex Based on a Queuing Network

Applied Sciences
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, Anna Lempert, Maxim Zharkov   +2 more
doaj   +1 more source

Early warning signal for river‐borne diseases with almost no data

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 615-625, February 2026.
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, Prajwal Bende, Arezoo Haratian, Russell Greiner, Mark A. Lewis   +4 more
wiley   +1 more source

Specialized Deep Residual Policy Reinforcement Learning Framework for Safe and Adaptive Continuous Control

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This article presents a novel hybrid control framework that combines conventional controllers with deep reinforcement learning (DRL) to enhance safety and adaptability in safety‐critical continuous control tasks. By integrating residual policy learning, a cycle of learning strategy using expert trajectories, and a specialized DRL agent with an input ...
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher   +2 more
wiley   +1 more source

Transition‐Aware Q‐Learning for Robust Tracking in Networked Control Systems with Fading Channels: Application to Leader−Follower Vehicle Control

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
Maintaining reliable tracking control in networked control systems over fading wireless channels is difficult due to the stochastic and time‐correlated nature of wireless links. This work proposes a transition‐aware Q‐learning (TA‐QL) method that learns robust control policies directly from networked data without requiring explicit models, while ...
Ehsan Badfar, Babak Tavassoli
wiley   +1 more source

Defect Repair of Murals Guided by Fusion Structural and Textural Feature

IET Image Processing, Volume 20, Issue 1, January/December 2026.
ABSTRACT To address the challenge of insufficient restoration accuracy for large‐area damaged murals, this paper proposes a two‐stage generative adversarial network model based on Fourier convolution, employing a progressive coarse‐to‐fine restoration strategy. In the coarse restoration stage, the Fourier convolution module endows the network with high‐
Guangya Li, Xiaoliang Li, Zhilin Meng
wiley   +1 more source

Modeling and Predicting the Spatiotemporal Dynamics of Construction Waste Hauling Trucks Using an Input–Output Hidden Markov Approach

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Construction waste hauling (CWH) trucks are a significant source of air pollution and particulate emissions in urban environments, prompting strict regulatory controls and monitoring. Accurate prediction of their transportation activities, including destinations and arrival times, is critical for improving environmental management and regulatory ...
Xiang Liu, Boyi Lei, Hongtai Yang, Ke Han, Lee D. Han, Young-Jin Cha   +5 more
wiley   +1 more source

Speeding Up Sequential Markov Chain Monte Carlo Methods in the Context of Large Volumes of Data From Distributed Sensor Networks

International Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.
Advances in digital sensors, digital data storage, and communications have resulted in systems being capable of accumulating large collections of data. In light of dealing with the challenges that large volumes of data present, this work proposes solutions to inference and filtering problems within the Bayesian framework.
Allan De Freitas, François Septier, Lyudmila Mihaylova, Marco Scarpa   +3 more
wiley   +1 more source