Results 51 to 60 of about 39,969 (303)

Model predictive control based on artificial intelligence and EPA-SWMM model to reduce CSOs impacts in sewer systems

open access: yesWater Science and Technology, 2022
Urbanization and an increase in precipitation intensities due to climate change, in addition to limited urban drainage systems (UDS) capacity, are the main causes of combined sewer overflows (CSOs) that cause serious water pollution problems in many ...
Khalid El Ghazouli   +3 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network

open access: yesIEEE Access, 2022
Assessment of sewer condition is one of the critical steps in asset management and support investment decisions; therefore, condition assessment models with high accuracy are important that can help utility managers and other authorities correctly assess
Lam Van Nguyen   +2 more
doaj   +1 more source

Material Selection and Geometric Design for Few‐filament Shape Memory Polymer Yarns for Force Generation

open access: yesAdvanced Materials Technologies, EarlyView.
A custom shape memory polymer material selection process relates quantitative application criteria (e.g., compression garment yarns) to material characterization information. The selected materials are manufactured into yarn geometries, which expand the design space by creating structural stress‐strain profiles beyond the nominal material stress‐strain
Michaela Andrews   +2 more
wiley   +1 more source

YOLOv5-Sewer: Lightweight Sewer Defect Detection Model

open access: yesApplied Sciences
In the field of defect detection in sewers, some researches focus on high accuracy. However, it is challenging for portable on-site devices to provide high performance.
Xingliang Zhao   +3 more
doaj   +1 more source

A Deterioration Model for Sewer Pipes Using CCTV and Artificial Intelligence

open access: yesBuildings, 2023
Sewer pipeline failures pose significant threats to the environment and public health. To tackle these repercussions, many deterioration models have been developed to predict the conditions of sewer pipes, most of which are based on CCTV inspection ...
Comfort Salihu   +5 more
doaj   +1 more source

Sewer Pipeline Condition Assessment and Defect Detection Using Computer Vision [PDF]

open access: yes
The structural integrity and operability of sewer pipeline systems are crucial for society's health, urban environment, and economic stability. Advancements in computer vision (CV) have revolutionized sewer defect inspection, offering unprecedented ...
Nguyen, Andy   +3 more
core   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

A framework for modelling, simulation and control of integrated urban wastewater system

open access: yes, 2005
This paper is concerned with the integrated modelling, and control of urban wastewater systems (UWS) comprising the wastewater treatment plants (WTP), receiving waters (river) and the sewer networks. A unified framework is developed and simple models are
F P Graells   +5 more
core   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

open access: yesAdvanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

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