Results 251 to 260 of about 4,829,196 (302)

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional ¹⁸F-FDG Images and Evaluation for Clinical Use. [PDF]

J Nucl Med Technol
Honda M, Yamada T, Watanabe S, Watanabe A, Nagaoka T, Nemoto M, Mikami K, Hanaoka K, Kaida H, Handa H, Ishii K, Kimura Y.   +11 more
europepmc   +1 more source

Beyond Initial Adoption: How Lean Six Sigma Is Sustained, Adapted, and Used in the U.S. Textile and Apparel Industry

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study examines how Lean Six Sigma (LSS) currently functions in the U.S. textile and apparel industry after years of adoption and use. Moving beyond isolated project‐level evidence, this study investigates whether LSS has been implemented as an organizational capability and integrated into the corporate culture, adapted to textile‐specific
Alireza Vahedi Fakhr, A. Blanton Godfrey, Warren J. Jasper   +2 more
wiley   +1 more source

A Morphology-Guided Conditional Generative Adversarial Network for Rapid Prediction of Hazard Gas Dispersion Field in Complex Urban Environments. [PDF]

Sensors (Basel)
Li Z, Li S.
europepmc   +1 more source

Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley   +1 more source

A bias field correction workflow based on generative adversarial network for abdominal cancers treated with 0.35T MR-LINAC. [PDF]

J Appl Clin Med Phys
Yang CC, Yang HT.
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Super-resolution reconstruction of industrial PET images using a prior-knowledge-based generative adversarial network. [PDF]

Sci Rep
Zhu M, Zhao M, Yao M.
europepmc   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang, Yuxin Lin, Mingyang Luo, Zhanghong Zeng   +3 more
wiley   +1 more source