Results 91 to 100 of about 9,758 (177)

Implementation Manual — 3D Engineered Models for Highway Construction: The Iowa Experience; RB33-014, 2015 [PDF]

, 2015
3D engineered modeling is a relatively new and developing technology that can provide numerous benefits to owners, engineers, contractors, and the general public. This manual is for highway agencies that are considering or are in the process of switching

core  

Strong‐Gradient Diffusion‐Weighted Imaging of Prostate Cancer Using an Inside‐Out Nonlinear Gradient Coil

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate improved image quality and lesion conspicuity in prostate diffusion‐weighted imaging (DWI) using an inside‐out nonlinear gradient coil that provides locally strong gradients (200–500 500 mT/m) at typical prostate positions.
Horace Z. Zhang, Nahla M. H. Elsaid, Terence W. Nixon, Andrew Dewdney, Dana C. Peters, Jeffrey C. Weinreb, Preston C. Sprenkle, R. Todd Constable, Gigi Galiana   +8 more
wiley   +1 more source

Analysis of the functional quality of pavements from texture measurements [PDF]

, 2007
The surface texture of a pavement, including uneveness, is largely determinant of drivers’safety and comfort. It is undoubtedly a major cause of road traffic accidents all over the world.
Freitas, Elisabete F., Pereira, Paulo A. A.   +1 more
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HOWLish: a CNN for automated wolf howl detection

Remote Sensing in Ecology and Conservation, EarlyView.
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos, Miha Krofel, Helena Rio‐Maior, Francesco Renna   +3 more
wiley   +1 more source

Can Artificial Intelligence Technologies Advance Environmental Sustainability? The Role of Institutional Adaptability and Skill‐Biased Technological Transformation

Sustainable Development, EarlyView.
ABSTRACT The ubiquitous proliferation of artificial intelligence (AI) technologies across contemporary global economic systems necessitates a comprehensive empirical examination of their environmental ramifications, particularly with respect to environmental sustainability paradigms.
Brahim Bergougui
wiley   +1 more source

Machine Learning‐Driven Nanopore Sensing for Quantitative, Label‐Free miRNA Detection

Small Methods, EarlyView.
Nanopore sensors combined with DNA‐barcoded probes enable detection of multiple biomarkers in parallel at the single‐molecule level through characteristic delays in ionic current signals. Three analytical strategies are compared: moving standard deviation, spectral entropy, and a convolutional neural network (CNN). The CNN achieves superior sensitivity
Caroline Koch, Seshagiri Sakthimani, Victoria Maria Noakes, Miruna Cretu, David Newman, Richard Gutierrez, Mark Bruce, Julia Gorelik, Nadia Guerra, Joshua B. Edel, Aleksandar P. Ivanov   +10 more
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

Structural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou, Shiping Huang, Belén Riveiro, M. Z. Naser   +3 more
wiley   +1 more source

AutoChamber: A broadly accessible 3D‐printed floating chamber to automate measurements of greenhouse gas emissions from surface waters

Methods in Ecology and Evolution, EarlyView.
Abstract Fresh waters provide environmental conditions that favour microbial CO2 and CH4 production, leading to the release of large quantities of greenhouse gases (GHG) to the atmosphere. Despite their importance, these fluxes remain poorly defined, weakening estimates of global GHG budgets that are critical in implementing effective climate ...
Benjamin J. Archer, Peter Casper, Mark O. Gessner   +2 more
wiley   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

The hidden science of haptics: A pedagogical review of tactile evaluation in cosmetics

International Journal of Cosmetic Science, EarlyView.
This review explores the physiological basis of tactile perception and critically examines classical and emerging sensory methods used in cosmetics, advocating for broader methodological integration and recognition of sensory analysis in the field. Abstract Sensory analysis is a cornerstone of cosmetic development, yet remains underrepresented in peer ...
Morgane Postec, Daria Terescenco, Ecaterina Gore   +2 more
wiley   +1 more source