Results 111 to 120 of about 131,306 (231)
Layered Radial Aquifer Model for Open‐Pit Mine Closure with Managed Aquifer Recharge
A radially symmetric layered aquifer model (unconfined–aquitard–confined) coupled to a pit‐lake water balance is developed to screen managed aquifer recharge (MAR) after open‐pit mine closure. Dimensionless type curves quantify trade‐offs between pit recovery time, pumping/recycling, and unconfined mounding as functions of aquifer time scales, aquitard
Behzad Ataie Ashtiani
wiley +1 more source
Marine electrical resistivity tomography (ERT) is applied to characterize point‐source submarine groundwater discharge (PSGD) along NW Yucatán. ERT observations and forward modeling constrain conduit detectability under varying hydrogeological conditions.
Mariana Gómez‐Nicolás +6 more
wiley +1 more source
A unified formulation for home healthcare routing and scheduling problems
Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
wiley +1 more source
A study of fault prediction and reliability assessment in the SEL environment [PDF]
An empirical study on estimation and prediction of faults, prediction of fault detection and correction effort, and reliability assessment in the Software Engineering Laboratory environment (SEL) is presented.
Basili, Victor R., Patnaik, Debabrata
core +1 more source
ABSTRACT The emergence of generative AI (GenAI), such as ChatGPT, in education reconceptualizes the realm and is novel to researchers and practitioners alike. Over the past few years, systematic reviews of the impact of GenAI on education have increased, focusing on language education and general education.
Cheuk Kwan Au +2 more
wiley +1 more source
DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks
Deep learning models, particularly Convolutional Neural Networks (CNNs), play a pivotal role in intelligent software. However, like any software application, CNN-based applications are susceptible to bugs.
Mohammad Wardat, Abdullah Al-Alaj
doaj +1 more source
Exploring 2D Geometric Shape Classification Using AI‐Driven Feature Tables in Mathematics
ABSTRACT This study explored the effectiveness of an AI‐integrated instructional task designed to enhance preservice teachers' understanding of the features and hierarchical relationships of 2D geometric shapes. Originally developed and tested in online K‐12 professional development settings, this intervention was adapted for in‐person preservice ...
Yasemin Gunpinar, Woonhee Sung
wiley +1 more source
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source
Cross‐Method Explanation Stability Under Prediction‐Preserving Perturbations in Explainable AI
The cross‐method analysis showed common vulnerability patterns across gradient‐based and perturbation‐based explainers, whereas Grad‐CAM demonstrated a specific ability to be resilient. Further discussion revealed that, before prediction changes with increasing ε, explanation divergence could already have commenced, indicating that further explanation ...
Muhammad Hasnain +4 more
wiley +1 more source
A Compact Algorithm for Applying Periodic Boundary Conditions in 3D RVE Modeling with Abaqus
ABSTRACT Periodic boundary conditions (PBCs) are essential in multiscale modeling for computing the effective properties of heterogeneous materials via representative volume elements (RVEs). While several automated solutions have been developed for implementing PBCs in finite element software, many rely on structured node classification and predefined ...
Reza Sadeghpour, Martin Kraska
wiley +1 more source

